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SPIRES-BOOKS: FIND KEYWORD OPERATIONS RESEARCH,MANAGEMENT SCIENCE *END*INIT* use /tmp/qspiwww.webspi1/10091.87 QRY 131.225.70.96 . find keyword operations research,management science ( in books using www Cover
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Call number:SPRINGER-2016-9789811005190:ONLINE Show nearby items on shelf
Title:Recent Advances in Mathematical Sciences Selected Papers from ICREM7 2015
Author(s):
Date:2016
Size:1 online resource (109 p.)
Note:10.1007/978-981-10-0519-0
Contents:Chapter 1: Counting Trees and Rooted Trees with Applications -- Chapter 2: Boundedness and Stability of Leslie-Gower Model with Sokol-Howell Functional Response -- Chapter 3: Fifth order Four Stage Explicit Trigonometrically-fitted Runge–Kutta– Nystrӧm Methods -- Chapter 4: Modified Homotopy Perturbation Method For Fredholm-Volterra Integro-Differential Equation -- Chapter 5: Simultaneous Effects of Soret and Dufour on the Unsteady Stagnation Point Flow of Micropolar Fluid towards a Permeable S tretching Sheet -- Chapter 6: One-Step Implicit Hybrid Method for Solving Semi-Explicit Index-1 Differential Algebraic Equations -- Chapter 7: An Artificial Intelligence Strategy for the Prediction of Wind Speed and Direction in Sarawak for Wind Energy Ma pping -- Chapter 8: Stability Analysis of Dengue Disease Using Host – Vector Model -- Chapter 9: Simple Motion Evasion Differential Game of One Pursuer and One Evader.
ISBN:9789811005190
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Algebra , Mathematical analysis , Analysis (Mathematics) , Game theory , Geometry , Operations research , Management science , Mathematical physics , Mathematics , Analysis , Mathematical Physics , Algebra , Geometry , Operations Research, Management Science , Game Theory, Economics, Social and Behav. Sciences
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Call number:SPRINGER-2016-9783319338286:ONLINE Show nearby items on shelf
Title:Generalized Connectivity of Graphs
Author(s): Xueliang Li
Date:2016
Size:1 online resource (6 p.)
Note:10.1007/978-3-319-33828-6
Contents:1. Introduction -- 2. Results for some graph classes -- 3. Algorithm and complexity -- 4. Sharp bounds of the generalized (edge-) connectivity -- 5. Graphs with given generalized connectivity -- 6. Nordhaus-Gaddum-type results -- 7. Results for gra ph products -- 8. Maximum generalized local connectivity -- 9. Generalized connectivity for random graphs -- Bibliography.– Index.
ISBN:9783319338286
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer science , Operations research , Management science , Combinatorics , Graph theory , Mathematics , Graph Theory , Combinatorics , Discrete Mathematics in Computer Science , Operations Research, Management Science
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Call number:SPRINGER-2016-9783319333380:ONLINE Show nearby items on shelf
Title:Optimization of Polynomials in Non-Commuting Variables
Author(s): Sabine Burgdorf
Date:2016
Size:1 online resource (104 p.)
Note:10.1007/978-3-319-33338-0
ISBN:9783319333380
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Algebraic geometry , System theory , Computer software , Quantum computers , Operations research , Management science , Mathematics , Algebraic Geometry , Quantum Computing , Operations Research, Management Science , Mathematical Software , Systems Theory, Control
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Call number:SPRINGER-2016-9783319321622:ONLINE Show nearby items on shelf
Title:Open Problems in Mathematics
Author(s):
Date:2016
Size:1 online resource (17 p.)
Note:10.1007/978-3-319-32162-2
Contents:Preface (J.F. Nash, Jr., M.Th. Rassias) -- Introduction (M. Gromov) -- 1. P Versus NP (S. Aaronson) -- 2. From Quantum Systems to L-Functions: Pair Correlation Statistics and Beyond (O. Barrett, F.W.K. Firk, S.J. Miller, C. Turnage-Butterbaugh) -- 3 . The Generalized Fermat Equation (M. Bennett, P. Mihăilescu, S. Siksek) -- 4. The Conjecture of Birch and Swinnerton-Dyer (J. Coates) -- 5. An Essay on the Riemann Hypothesis (A. Connes) -- 6. Navier Stokes Equations (P. Constantin) -- 7. Plateau's Prob lem (J. Harrison, H. Pugh) -- 8. The Unknotting Problem (L.H. Kauffman) -- 9. How Can Cooperative Game Theory Be Made More Relevant to Econimics? (E. Maskin) -- 10. The Erdős-Szekeres Problem (W. Morris, V. Soltan) -- 11. Novikov's Conjecture (J. Rosenbe rg) -- The Discrete Logarithm Problem (R. Schoof) -- 13. Hadwiger's Conjecture (P. Seymour) -- 14. The Hadwiger-Nelson Problem (A. Soifer) -- 15. Erdős's Unit Distance Problem (E. Szemerédi) -- 16. Goldbach's Conjectures (R.C. Vaughan) -- 17.
The Hodge Conjecture (C. Voisin).
ISBN:9783319321622
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Algebraic geometry , Partial differential equations , Game theory , Differential geometry , Number theory , Operations research , Management science , Mathematics , Number Theory , Algebraic Geometry , Differential Geometry , Partial Differential Equations , Game Theory, Economics, Social and Behav. Sciences , Operations Research, Management Science
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Call number:SPRINGER-2016-9783319309217:ONLINE Show nearby items on shelf
Title:Numerical Optimization with Computational Errors
Author(s): Alexander J Zaslavski
Date:2016
Size:1 online resource (304 p.)
Note:10.1007/978-3-319-30921-7
Contents:1. Introduction -- 2. Subgradient Projection Algorithm -- 3. The Mirror Descent Algorithm -- 4. Gradient Algorithm with a Smooth Objective Function -- 5. An Extension of the Gradient Algorithm -- 6. Weiszfeld's Method -- 7. The Extragradient Method for Convex Optimization -- 8. A Projected Subgradient Method for Nonsmooth Problems -- 9. Proximal Point Method in Hilbert Spaces -- 10. Proximal Point Methods in Metric Spaces -- 11. Maximal Monotone Operators and the Proximal Point Algorithm -- 12. The Extragradient Method for Solving Variational Inequalities -- 13. A Common Solution of a Family of Variational Inequalities -- 14. Continuous Subgradient Method -- 15. Penalty Methods -- 16. Newton's method -- References -- Index.
ISBN:9783319309217
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Optimization and Its Applications: 108
Keywords: Mathematics , Numerical analysis , Calculus of variations , Operations research , Management science , Mathematics , Calculus of Variations and Optimal Control Optimization , Numerical Analysis , Operations Research, Management Science
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Call number:SPRINGER-2016-9783319300405:ONLINE Show nearby items on shelf
Title:Winning at Litigation through Decision Analysis Creating and Executing Winning Strategies in any Litigation or Dispute
Author(s): John Celona
Date:2016
Size:1 online resource (43 p.)
Note:10.1007/978-3-319-30040-5
Contents:Introduction -- The Nature of the Beast -- Why Decision Analysis is the Right Solution -- Structure the Problem -- Elicit Probabilities -- Integrate All Information, Judgement, and Consequences -- Analyze the Results -- Difficult Questions to Struc ture -- Special Probability Approaches -- Multiple Parties and Claims- Pre-Trial and Trial Strategy Planning -- Review and Communication.
ISBN:9783319300405
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Operations research , Decision making , Game theory , Management science , Mathematics , Operations Research, Management Science , Game Theory, Economics, Social and Behav. Sciences , Operation Research/Decision Theory
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Call number:SPRINGER-2016-9783319265803:ONLINE Show nearby items on shelf
Title:Scheduling Theory, Algorithms, and Systems
Author(s): Michael L Pinedo
Date:2016
Edition:5th ed. 2016
Size:1 online resource (21 p.)
Note:10.1007/978-3-319-26580-3
Contents:Preface -- Supplementary Electronic Material -- Introduction -- Part I: Deterministic Models -- Deterministic Models: Preliminaries -- Single Machine Models (Deterministic) -- Advanced Single Machine Models (Deterministic) -- Parallel Machines Model s (Deterministic) -- Flow Shops and Flexible Flow Shops (Deterministic) -- Job Shops (Deterministic) -- Open Shops (Deterministic) -- Part II Stochastic Models -- Stochastic Models: Preliminaries -- Single Machine Models (Stochastic) -- Single Machine Mod els with Release Dates (Stochastic) -- Parallel Machine Models (Stochastic) -- Flow Shops, Job Shops and Open Shops (Stochastic) -- Part III Scheduling in Practice -- General Purpose Procedures for Deterministic Scheduling -- More Advanced General Purpose Procedures -- Modeling and Solving Scheduling Problems in Practice -- Design and Implementation of Scheduling Systems: Basic Concepts -- Design and Implementation of Scheduling Systems: More Advanced Concepts -- Examples of System Designs
and Implementations -- What Lies Ahead? -- Appendices
ISBN:9783319265803
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , System theory , Operations research , Management science , Probabilities , Industrial engineering , Production engineering , Mathematics , Operations Research, Management Science , Industrial and Production Engineering , Probability Theory and Stochastic Processes , Systems Theory, Control
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Call number:SPRINGER-2016-9783319211060:ONLINE Show nearby items on shelf
Title:Applications of Systems Thinking and Soft Operations Research in Managing Complexity From Problem Framing to Problem Solving
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (61 p.)
Note:10.1007/978-3-319-21106-0
Contents:Part 1: Organizational Theme -- Using systems modeling to examine law enforcement collaboration in the response to serious crime -- Managing Complexity in Organizations through a Systemic Network of Projects -- Family of Related
Systemic Elements (FoRSE™) Matrix: Big(ger) Picture Thinking and Application for Business and Organizations -- Part 2: Disaster Management Theme -- Disentangling wicked problems: a reflexive approach towards resilience governance --
Post-disaster reconstruction – what does it mean to rebuild with resilience -- Black swans, dragon kings and beyond: towards predictability and suppression of extreme all-hazards events through modeling and simulation -- Part 3:
Systems approaches Theme -- Supporting Intelligence Analysis through visual thinking -- The Benefits of systems-thinking approach to accident investigation -- Systems Theory as a foundation for discovery of pathologies from complex
system problem formulation -- Soft (?) social systems and shocks: an experiment with an agent based model -- System Failure? Why humanitarian assistance can’t met its objectives without systems thinking- and why it finds it so hard to
use it -- Using First Nations systems thinking to operationalize sustainable development
ISBN:9783319211060
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Operations research , Decision making , Computer simulation , System safety , Statistical physics , Dynamical systems , Social sciences , Physics , Statistical Physics, Dynamical Systems and Complexity , Operation Research/Decision Theory , Methodology of the Social Sciences , Security Science and Technology , Simulation and Modeling
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Call number:SPRINGER-2014-9783319047201:ONLINE Show nearby items on shelf
Title:Applications of Mathematics and Informatics in Science and Engineering [electronic resource]
Author(s): Nicholas J Daras
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference heldin April 2013 at the He llenic Military Academy, and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions and pursuits of scientists that pertain to engineeringsciences. It is also presents the theoretical backgr ound required for algorithms and techniques applied to a large variety of concrete problems. A number of open questions as well as new future areas are also highlighted. This bookwill appeal to operations research analysts, engineers, community decision m akers, academics, the military community, practitioners sharing the current state-of-the-art, and analysts from coalition partners. Topics coveredinclude Operations Research, Games and Control Theory, Computational Number Theory and Information Security, Scientific Computing and Applications, Statistical Modeling and Applications, Systems of Monitoring and Spatial Analysis
Contents:Parametric Design and Optimization of Multi
Rotor Aerial Vehicles (C. Ampatis, E. Papadopoulos)
Scattering Relations for a Multi
Layered Chiral Scatterer in an Achiral Environment (C. Athanasiadis, E. Athanasiadou, S. Dimitroula, E. Kikeri)
Almost Periodic Solutions of NavierStokesOhm Type Equations in Megneto
Hydrodynamics (E.S. Athanasiadou, V.F. Dionysatos, P.N. Koumantos, P.K. Pavlakos)
Admission Control Policies in a Finite Capacity Geo/Geo/1 Queue under Partial State Observations (A. Burnetas, Ch. Kokaliaris)
Error Bounds for Trapezoid Type Quadrature Rules with Applica
ISBN:9783319047201
Series:eBooks
Series:SpringerLink
Series:Springer Optimization and Its Applications, 1931-6828 : v91
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Number theory , Mathematical optimization , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783319042503:ONLINE Show nearby items on shelf
Title:A Kaizen Approach to Food Safety [electronic resource] : Quality Management in the Value Chain from Wheat to Bread
Author(s): Victoria Hill
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book provides a Management Science approach to quality management in food production. Aspects of food quality, product conformance and reliability/food safety are examined, starting with wheat and ending with its value chaintransformation into b read. Protein qualities that influence glycemic index levels in bread are used to compare the value chains of France and the US. With Kaizen models the book shows how changes in these characteristics are the resultof management decisions made by the wheat growers in response to government policy and industry strategy. Lastly, it provides step-by-step instructions on how to apply kaizen methodology and Deming's work on quality improvement to makethe HACCPs (Hazard Analysis and Critical Control Points) in f ood safety systems more robust
Contents:The Bread VC: Its Health Impact and Structure in France and the U.S
Government Regulation of Food Quality: International and in France and the U.S
Industry Regulation of Quality in Bread, Flour and Wheat in France and the U.S
Discussion of Literature Review and Preliminary Data Analysis
Modelling the Value Stream for Bread, Flour and Wheat Production
QFD Models of French and U.S. Wheat Management Practices
HACCP and VSM Models of French and U.S. Wheat Production Processes
Findings, Recommendations and Conclusion
ISBN:9783319042503
Series:eBooks
Series:SpringerLink
Series:Contributions to Management Science, 1431-1941
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Food science , Mathematical optimization , System safety , Operations research
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Call number:SPRINGER-2014-9781461495666:ONLINE Show nearby items on shelf
Title:Integrating Routing Decisions in Public Transportation Problems [electronic resource]
Author(s): Marie E Schmidt
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This book treats three planning problems arising in public railway transportation planning: line planning, timetabling, and delay management, with the objective to minimize passengers travel time. While many optimizationapproaches simplify these prob lems by assuming that passengers route choice is independent of the solution, this book focuses on models which take into account that passengers will adapt their travel route to the implementedplanning solution. That is, a planning solution and passenger s routes are determined and evaluated simultaneously. This work is technically deep, with insightful findings regarding complexity and algorithmic approaches to publictransportation problems with integrated passenger routing. It is intended for researcher s in the fields of mathematics, computer science, or operations research, working in the field of public transportation from an optimizationstandpoint. It is also ideal for students who want to gain intuition and experience in doing complexity proofs and designing polynomial-time algorithms for network problems. The book models line planning, timetabling, and delaymanagement as combined design and routing problems on networks. In a complexity analysis, the border between NP-hard and polynomially solvable problems is illustrated. Based on that, the insights gained are used to develop solutionapproaches for the considered problems. Besides integer programming formulations, a heuristic method iterating planning and routing steps is proposed to solve the prob lems
Contents:1. Introduction
2. Line Planning
3. Timetabling
4. Delay Management
5. An Iterative Solution Approach for General Network Problems with Routing
6. Conclusions and Outlook
Frequently Used Notation
References
Index
ISBN:9781461495666
Series:eBooks
Series:SpringerLink
Series:Springer Optimization and Its Applications, 1931-6828 : v89
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer software , Civil engineering
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Call number:SPRINGER-2013-9783642324604:ONLINE Show nearby items on shelf
Title:Traffic Flow Dynamics [electronic resource] : Data, Models and Simulation
Author(s): Martin Treiber
Arne Kesting
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specializedmonographs, accessible to a b road readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineeringand, more generally, also at students and professi onals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The mainpart, after presenting different categories of traffic data, is devoted t o a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopicmany-particle models in which each particle corresponds to a vehicle and its driver.Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way.Finally, thetheoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transpor tation systems, traffic operations management, and a detailed physics-based model for fuelconsumption and emissions
Note:Springer eBooks
Contents:Introduction
Part I Traffic Data: Trajectroy and Floating
Car Data
Cross
Sectional Data
Representations of Cross
Sectional Data
Spatiotemporal Reconstruction of the Traffic State
Part II Traffic Flow Modeling: General Aspects
Continuity Equation
The Lighthill
Whitham
Richards Model
Macroscopic Models with Dynamic Velocity
Elementary Car
Following Models
Car
Following Models based on Driving Strategies
Modeling Human Aspects of Driving Behavior
Cellular Automata
Lane
Changing and other Discrete
Choice Situations
Stability Analysis
Calibration and Val
ISBN:9783642324604
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Mathematical optimization , Engineering , Operations research
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Call number:SPRINGER-2013-9783319000350:ONLINE Show nearby items on shelf
Title:Algorithms from and for Nature and Life [electronic resource] : Classification and Data Analysis
Author(s): Berthold Lausen
Dirk Van den Poel
Alfred Ultsch
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. Inaddition to theory-o riented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicologydescribe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl),the German Association for PatternRecognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011
Note:Springer eBooks
Contents:Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
Bioinformatics and Biostatistics
Archaeology and Geography, Psychology and Educational Sciences
Text Mining, Social Networks and Clustering
Banking and Finance
Marketing and Management
Music Classification Workshop
ISBN:9783319000350
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Social sciences Data processing , Mathematical statistics , Economics Statistics , Operations research
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Call number:SPRINGER-2013-9781461480426:ONLINE Show nearby items on shelf
Title:Introduction to Global Optimization Exploiting Space-Filling Curves [electronic resource]
Author(s): Yaroslav D Sergeyev
Roman G Strongin
Daniela Lera
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Introduction to Global Optimization Exploiting Space-Filling Curves provides an overview of classical and new results pertaining to the usage of space-filling curves in global optimization. The authors look at a family ofderivative-free numerical alg orithms applying space-filling curves to reduce the dimensionality of the global optimization problem along with a number of unconventional ideas, such as adaptive strategies for estimating Lipschitzconstant, balancing global and local information to acce lerate the search. Convergence conditions of the described algorithms are studied in depth and theoretical considerations are illustrated through numerical examples. This workalso contains a code for implementing space-filling curves that can be used for constructing new global optimization algorithms. Basic ideas from this text can be applied to a number of problems including problems with multiextremaland partially defined constraints and non-redundant parallel computations can be organized. Professors, students, researchers, engineers, and other professionals in the fields of pure mathematics, nonlinear sciences studying fractals,operations research, management science, industrial and applied mathematics, computer science, engineering, economics, and t he environmental sciences will find this title useful .
Note:Springer eBooks
Contents:1. Introduction
2. Approximations to Peano curves
3. Global optimization algorithms using curves to reduce dimensionality of the problem
4. Ideas for acceleration
5. A brief conclusion
References
ISBN:9781461480426
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Optimization, 2190-8354
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geometry, algebraic , Computer software , Numerical analysis , Cell aggregation Mathematics
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Call number:SPRINGER-2013-9781461462774:ONLINE Show nearby items on shelf
Title:Networks Against Time [electronic resource] : Supply Chain Analytics for Perishable Products
Author(s): Anna Nagurney
Min Yu
Amir H Masoumi
Ladimer S Nagurney
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chainnetwork analytics framewo rk is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food andfrom fashion apparel to technology. This Brie f provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability ofthe product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustratethe power of the framework in practice. The models and algorithms are fully described alon g with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and forapplications in practice. Researchers and practitioners in mathematics, in operations research and management sc ience, operations management, as well as in economics and computer science will find this book useful to gain a broaderappreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced und ergraduate students and graduate students in the disciplines noted above to familiarize themselveswith methodologies and supply chain network models and applications
Note:Springer eBooks
Contents:1. Introduction and Scope
2. Blood Supply Chains
3. Medical Nuclear Supply Chains
4. Food Supply Chains
5. Pharmaceutical Supply Chains
6. Fast Fashion Apparel Supply Chains
References.
ISBN:9781461462774
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Optimization, 2190-8354
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization
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Call number:SPRINGER-2013-9781461449096:ONLINE Show nearby items on shelf
Title:Matrix-Analytic Methods in Stochastic Models [electronic resource]
Author(s): Guy Latouche
Vaidyanathan Ramaswami
Jay Sethuraman
Karl Sigman
Mark S Squillante
David Yao
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic andrelated methods seeks to dis cover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, andapply these probabilistic structures and/or compu tational algorithms within a wide variety of fields. This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and relatedmethods in stochastic models and the application of matrix-analytic and re lated methods in various fields, which includes but is not limited to computer science and engineering, communication networks and telephony, electrical andindustrial engineering, operations research, management science, financial and risk analysis, and b io-statistics. These research studies provide deep insights and understanding of the stochastic models of interest from amathematicsandapplications perspective, as well as identify directions for future research
Note:Springer eBooks
Contents:Factorization properties for a MAP
modulated fluid flow model under server vacation policies
A compressed cyclic reduction for QBDs with low rank upper and lower transitions
Bilateral matrix
exponential distribution
AutoCAT: Automated Product
Form Solution of Stochastic Models
Markovian trees subject to catastrophes: Would they survive forever?
Majorization and Extremal PH
Distributions
Acceptance
rejection methods for generating random variates from matrix exponential distributions and rational arrival processes
Revisit to the tail asymptotics of the double QBD process: R
ISBN:9781461449096
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v27
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Numerical analysis , Distribution (Probability theory)
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Call number:SPRINGER-2012-9783034804363:ONLINE Show nearby items on shelf
Title:Mathematical Optimization of Water Networks [electronic resource]
Author(s): Alexander Martin
Kathrin Klamroth
Jens Lang
Gnter Leugering
Antonio Morsi
Martin Oberlack
Manfred Ostrowski
Roland Rosen
Date:2012
Publisher:Basel : Springer Basel : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Water supply- and drainage systems and mixed water channel systems are networks whose high dynamic is determined and/or affected by consumer habits on drinking water on the one hand and by climate conditions, in particularrainfall, on the other hand. According to their size, water networks consist of hundreds or thousands of system elements. Moreover, different types of decisions (continuous and discrete) have to be taken in the water management. Thenetworks have to be optimized in terms of topology and operation by targeting a variety of criteria. Criteria may for example be economic, social or ecological ones and may compete with each other. The development of complex modelsystems and their use for deriving optimal decisions in water management is taking place at a rapid pace. Simulation and optimization methods originating in Operations Research have been used for several decades usually with verylimited direct cooperation with applied mathematics. The research presented here aims at bridging this gap, thereby opening up space for synergies and innovation. It is directly applicable for relevant practical problems and has beencarried out in cooperation with utility and dumping companies, infrastructure providers and planning offices. A close and di rect connection to the practice of water management has been established by involving application-orientedknow-how from the field of civil engineering. On the mathematical side all necessary disciplines were involved, including mixed-integer optimization, multi-objective and facility location optimization, numerics for cross-linked dynamictransportation systems and optimization as well as control of hybrid systems. Most of the presented research has been supported by the joint project Discret-continuous o ptimization of dynamic water systems of the federalministry of education and research (BMBF)
Note:Springer eBooks
Contents:Part I Optimization of Water Supply Networks
Modelling and Numerical Simulation of Pipe Flow Problems in Water Supply Systems
Simulation and Continuous Optimization
Mixed Integer Optimizationof Water Supply Networks
Nonlinear and Mixed Integer Linear Programming
Part II Optimal Control of Sewer Networks
Optimal Control of Sewer Networks Problem Description
Modelling of Channel Flows with Transition Interface Separating Free Surface and Pressurized Channel Flows
Optimal Control of Sewer Networks Engineers View
Real
Time Control of Urban Drainage Systems
Performance
ISBN:9783034804363
Series:e-books
Series:SpringerLink (Online service)
Series:International Series of Numerical Mathematics : v162
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Mathematical optimization
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Call number:SPRINGER-2012-9781461441090:ONLINE Show nearby items on shelf
Title:Applications of Mathematics and Informatics in Military Science [electronic resource]
Author(s): Nicholas J Daras
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Analysis, assessment, and data management are core tools required for operation research analysts. The April 2011 conference held at the Helenic Army Academy addressed these topics with efforts to collect valuable recommendationsfor improving analyst s capabilities to assess and communicate necessary qualitative data to military leaders. This unique volume is comprised of contributions from the fields of science, mathematics, and the military, andincludes a foreword written by the general manager of the NATO Consultation Command and Control Agency (NC3A). This work will be of interest to a diverse audience including military operations research analysts, the militarycommunity at large, and practitioners working with mathematical methods and applicati ons to informatics and military science. Applications of Mathematics and Informatics in Military Science covers a wide variety of mathematicalmethods used with application to defense and security. Each contribution considers directions and pursuits of sci entists that pertain to the military as well as the theoretical background required for methods, algorithms, andtechniques used in military applications. The direction of theoretical results in these applications is conveyed and open problems and future a reas of focus are highlighted. Topics covered include: applied OR and militaryapplications, signal processing, scattering, scientific computing and applications, combat simulation and statistical modeling, satellite remote sensing, and applied informatic s (cryptography and coding)
Note:Springer eBooks
Contents:Foreword
Preface
Table of Contents
1. The Significance of Research and Development for the National Defence and its Relation with the Military University Institutions (N. Uzunoglu)
2. Selected Topics in Critical Element Detection (J.L. Walteros, P.M. Pardalos)
3. Study of Engagement with Mobile Targets (S. Tassopoulos)
4. Solving an Electromagnetic Scattering Problem in Chiral Media (C. Athanasiadis, S. Dimitroula, K. Skourogiannis)
5. Orthonormality in Interpolation Schemes for Reconstructing Signals (N.J. Daras)
6. Computer Graphics Techniques in Military Applications
ISBN:9781461441090
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v71
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision , Computer science , Mathematical optimization
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Call number:SPRINGER-2012-9781461437734:ONLINE Show nearby items on shelf
Title:Financial Decision Making Using Computational Intelligence [electronic resource]
Author(s): Michael Doumpos
Constantin Zopounidis
Panos M Pardalos
Date:2012
Publisher:Boston, MA : Springer US : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Financial Decision Making Using Computational Intelligence covers all the recent developments in complex financial decision making through computational intelligence approaches. Computational intelligence has evolved rapidly inrecent years and it is now one of the most active fields in operations research and computer science. The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to applytraditional modeling and algorithmic procedures. In th is context, the field of computational intelligence provides a wide range of useful techniques, including new modeling tools for decision making under risk and uncertainty, datamining techniques for analyzing complex data bases, and powerful algorithms fo r complex optimization problems. This book presents the recent advances made in financial decision making using computational intelligence, covering bothnew methodological developments as well as new emerging application areas. This work covers a wide ra nge of topics related to financial decision making, financial modeling, risk management, and financial engineering, includingalgorithmic trading, financial time-series analysis, asset pricing, portfolio management, auction markets, and insurance services. Practitioners in the financial industry as well as operations researchers, management scientists, anddata analysts will find this publication highly useful
Note:Springer eBooks
Contents:Preface
List of Contributors
1. Statistically Principled Application of Computational Intelligence Techniques for Finance (J.V. Healy)
2. Can Artificial Traders Learn and Err Like Human Traders? A New Direction for Computational Intelligence in Behavioral Finance (S
H. Chen, K
C. Shih, C
C. Tai)
3. Application of Intelligent Systems for News Analytics (C. Bozic, S. Chalup, D. Seese)
4. Modelling and Trading the Greek Stock Market with Hybrid ARMA
Neural Network Models (C. L. Dunis, J. Laws, A. Karathanasopoulos)
5. Pattern Detection and Analysis in Financial Time Series Us
ISBN:9781461437734
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v70
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2011-9783642167294:ONLINE Show nearby items on shelf
Title:The Linear Ordering Problem [electronic resource] Exact and Heuristic Methods in Combinatorial Optimization
Author(s): Rafael Mart
Gerhard Reinelt
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Complex optimization problems abound in the real world. In the face of these challenges, established methods often fall short of providing solutions. However, exact and heuristic techniques are dramatically enhancingour ability to solve significant p ractical problems in the world of optimization. They are changing the landscape in the field, broadening the frontiers of the possible, and allowing us to engage effectively with a whole new range ofchallenges. This monograph sets out state-of-the-art opt imization methods for tackling the linear ordering problem (LOP). Whereas important applications in business, engineering and economics lie beyond the reach of methodologiesthat have been the focus of academic research for three decades, the fresh approac hes set out in this volume provide practical solutions to the LOP. The focus on the LOP does not limit the monographs scope and applicability,however. The exact and heuristic techniques outlined in these pages can be put to use in any number of combinator ial optimization problems. While the authors employ the LOP to illustrate cutting-edge optimization technologies, the bookis also a tutorial on how to design effective and successful implementations of exact and heuristic procedures alike. The information in these pages provides readers with a toolkit that can be employed in a variety of settings. As aresult, the book will be of great interest to researchers and practitioners in a number of fields, including computer science, mathematics, operations resea rch, management science, industrial engineering, and economics. It is alsosuitable for use as a textbook on issues of practical optimization in a masters course, or as a reference book for engineering optimization algorithms. The authors have sought to ma ke the book accessible to as wide an audience aspossible by providing the reader with basic definitions and concepts in optimization. In addition, the numerous tutorials aid speedy
Note:Springer eBooks
Contents:1 Introduction
2 Heuristic Methods
3 Meta
Heuristics
4 Branch
and
Bound
5 Branch
and
Cut
6 The Linear Ordering Polytope
7 Further Aspects
References
Index
ISBN:9783642167294
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Mathematical Sciences, 0066-5452 : v175
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computational complexity , Computer science , Algorithms , Mathematical optimization
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Call number:SPRINGER-2011-9781441977878:ONLINE Show nearby items on shelf
Title:Statistics and Data Analysis for Financial Engineering [electronic resource]
Author(s): David Ruppert
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration ofconcepts with financial marke ts and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduatetextbook Statistics and Finance: An Introduction, thi s book differs from that earlier volume in several important aspects: it is graduate-level computations and graphics are done in R and many advanced topics are covered, forexample, multivariate distributions, copulas, Bayesian computations, VaR and expect ed shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure tofinance is helpful. David Ruppert is Andrew Schultz, Jr., Professor of Engineering and Professor of Statist ical Science, School of Operations Research and Information Engineering, Cornell University, where he teaches statistics andfinancial engineering and is a member of the Program in Financial Engineering. His research areas include asymptotic theory, semipa rametric regression, functional data analysis, biostatistics, model calibration, measurement error, andastrostatistics. Professor Ruppert received his PhD in Statistics at Michigan State University. He is a Fellow of the American Statistical Association a nd the Institute of Mathematical Statistics and won the Wilcoxon prize. He isEditor of the Electronic Journal of Statistics, former Editor of the Institute of Mathematical Statistics's Lecture Notes--Monographs Series, and former Associate Editor of sever al major statistics journals. Professor Ruppert haspublished over 100 scientific papers and four books: Transformation and Weighting in Regression, Measurement Error in Nonlinear Models, Semiparametri
Note:Springer eBooks
Contents:Introduction
Returns
Fixed income securities
Exploratory data analysis
Modeling univariate distributions
Resampling
Multivariate statistical models
Copulas
Time series models: basics
Time series models: further topics
Portfolio theory
Regression: basics
Regression: troubleshooting
Regression: advanced topics
Cointegration
The capital asset pricing model
Factor models and principal components
GARCH models
Risk management
Bayesian data analysis and MCMC
Nonparametric regression and splines
ISBN:9781441977878
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics
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Call number:SPRINGER-2011-9781441917720:ONLINE Show nearby items on shelf
Title:Introduction to Modeling and Analysis of Stochastic Systems [electronic resource]
Author(s): V. G Kulkarni
Date:2011
Edition:2
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and publicpolicy. It employs a large number of examples to teach the students to use stochastic models of real-life systems to predict their performance, and use this analysis to design better systems. The book is devoted to the study ofimportant classes of stochastic processes: discre te and continuous time Markov processes, Poisson processes, renewal and regenerative processes, semi-Markov processes, queueing models, and diffusion processes. The book systematicallystudies the short-term and the long-term behavior, cost/reward models, and first passage times. All the material is illustrated with many examples, and case studies. The book provides a concise review of probability in the appendix.The book emphasizes numerical answers to the problems. A collection of MATLAB programs to acco mpany the this book can be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maxim.zip. A graphical user interface to access the above filescan be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maximgui.zip . The second edition incorporates several c hanges. First its title reflects the changes in content: the chapters on design and control have been removed. The booknow contains several case studies that teach the design principles. Two new chapters have been added. The new chapter on Poisson process es gives more attention to this important class of stochastic processes than the first edition did.The new chapter on Brownian motion reflects its increasing importance as an appropriate model for a variety of real-life situations, including finance. V. G . Kulkarni is Professor in the Department of Statistics and Operations Researchin the University of North Carolina, Chapel Hill. He has authored a graduate-level text Modeling and Analysis of Stochastic
Note:Springer eBooks
Contents:Introduction
Discrete
Time Markov Models
Poisson Processes
Continuous
Time Markov Models
Generalized Markov Models
Queueing Models
Brownian Motion
ISBN:9781441917720
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
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Call number:SPRINGER-2010-9783540928287:ONLINE Show nearby items on shelf
Title:Handbook of Multicriteria Analysis [electronic resource]
Author(s): Constantin Zopounidis
Panos M Pardalos
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteriaanalysis, including multicrit eria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incompleteinformation, are also discussed, together with ap plications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including amongothers data mining, artificial intelligence, and evolutionary methods
Note:Springer eBooks
Contents:Issues in Decision Aiding
To Better Respond to the Robustness Concern in Decision Aiding: Four Proposals Based on a Twofold Observation
Multi
Criteria Decision Analysis for Strategic Decision Making
Multiple Criteria Decision Aid Methodologies
ELECTRE Methods: Main Features and Recent Developments
The Analytic Hierarchy and Analytic Network Measurement Processes: The Measurement of Intangibles
Preference Programming Multicriteria Weighting Models under Incomplete Information
New Trends in Aggregation
Disaggregation Approaches
Disaggregation Analysis and Statistical
ISBN:9783540928287
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Optimization, 1384-6485 : v103
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Operations research , Engineering
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Call number:SPRINGER-2010-9781441916365:ONLINE Show nearby items on shelf
Title:Complex Intelligent Systems and Their Applications [electronic resource]
Author(s): Fatos Xhafa
Leonard Barolli
Petraq J Papajorgji
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Complex Intelligent Systems and Their Applications presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts inareas of research relevant to the study of complex, intelligent and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and artificial intelligence. Thisbook is divided into three parts focusing on complex intelligent network systems, efficient resource management in complex systems, and artificial data mining systems. Through the presentation of these diverse areas of application, thevolume provides insights into the multidisciplinary nature of complex pro blems. Throughout the entire book, special emphasis is placed on optimization and efficiency in resource management, network interaction, and intelligent systemdesign. Key Features of Complex Intelligent Systems and Their Applications include: - Considers the multi-disciplinary nature of complex problems in intelligent systems and a range of state-of-the-art techniques used to resolvethese problems. - Graduate students as well as researchers will find this a useful guide to the most up-to-date techniques available to resolve complex problems in networking, optimization, and artificial intelligence. - Real lifeexamples presented throughout the book extend the texts suitability to practitioners. This book presents the most recent interdisciplinary results i n this area of research and can serve as a valuable tool for researchers interestedin defining and resolving the types of complex problems that arise in networking, optimization, and artificial intelligence
Note:Springer eBooks
Contents:Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models
An Ontology
Based Approach for Supporting Business
IT Alignment
EPCIS
Based Supply Chain Event Management
Cost
Benefit Analysis to Hedge with Third
Party Producers in Demand
Driven Production
A Security Assurance Model to Holistically Assess the Information Security Posture
Risk
Aware Business Process ManagementEstablishing the Link Between Business and Security
Self
Optimised Tree Overlays Using Proximity
Driven Self
Organised Agents
Filtering Order Adaptation B
ISBN:9781441916365
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v41
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer network architectures , Computer system performance , Computer science , Artificial intelligence , Operations research
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Call number:SPRINGER-2010-9780387854618:ONLINE Show nearby items on shelf
Title:Elements of Adaptive Testing [electronic resource]
Author(s): Wim J van der Linden
Cees A.W Glas
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items toautomatically adapt their selectio n to a real-time update of the test takers ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensionalabilities, sequencing adaptive test batteries, multistage a daptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing.It also shows how these features are used in the daily operations of several larg e-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometrictheory and methods, and he has been an active researcher of adaptive testing throughout his career. Fo r Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He isa past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Mea surement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor ofSocial Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis o n item response theory, adaptive testing, model fit analysis, and missing data.Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programsfor international student assessment (PISA) and the assessment of adult competencies (PIAAC)
Note:Springer eBooks
Contents:Item selection and ability estimation in adaptive testing
Constrained adaptive testing with shadow tests
Principles of multidimensional adaptive testing
Multidimensional adaptive testing with Kullback
Liebler information item selection
Sequencing an adaptive test battery
Adaptive tests for measuring anxiety and depression
MATHCAT: A flexible testing system in mathematics education for adults
Implementing the Graduate Management admission test computerized adaptive test
Designing and implementing a multistage adaptive test: The uniform CPA exam
A Japanese adaptive tes
ISBN:9780387854618
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Educational tests and measurements , Psychometrics
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Call number:SPRINGER-2009-9783642025471:ONLINE Show nearby items on shelf
Title:Continuous-Time Markov Decision Processes [electronic resource] : Theory and Applications
Author(s): Xianping Guo
Onsimo Hernndez-Lerma
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueingsystems), computer science , communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentationof recent developments on the theory and applic ations of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of thematerial appears for the first time in book form
Note:Springer eBooks
Contents:and Summary
Continuous
Time Markov Decision Processes
Average Optimality for Finite Models
Discount Optimality for Nonnegative Costs
Average Optimality for Nonnegative Costs
Discount Optimality for Unbounded Rewards
Average Optimality for Unbounded Rewards
Average Optimality for Pathwise Rewards
Advanced Optimality Criteria
Variance Minimization
Constrained Optimality for Discount Criteria
Constrained Optimality for Average Criteria
ISBN:9783642025471
Series:e-books
Series:SpringerLink (Online service)
Series:Stochastic Modelling and Applied Probability, 0172-4568 : v62
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Operations research , Distribution (Probability theory)
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Call number:SPRINGER-2009-9781848009387:ONLINE Show nearby items on shelf
Title:Game Theoretic Problems in Network Economics and Mechanism Design Solutions [electronic resource]
Author(s): Hastagiri Prakash
Ramasuri Narayanam
Dinesh Garg
Y Narahari
Date:2009
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:With the advent of the Internet and other modern information and communication technologies, a magnificent opportunity has opened up for introducing new, innovative models of commerce, markets, and business. Creating theseinnovations calls for signif icant interdisciplinary interaction among researchers in computer science, communication networks, operations research, economics, mathematics, sociology, and management science. In the emerging era of newproblems and challenges, one particular tool that has found widespread applications is mechanism design. The focus of this book is to explore game theoretic modeling and mechanism design for problem solving in Internet and networkeconomics. It provides a sound foundation of relevant concepts and theory, to help apply mechanism design to problem solving in a rigorous way
Note:Springer eBooks
Contents:From the contents Motivating Problems in Network Economics
Foundations of Mechanisms Design
Strategic Form Games
Dominant Strategy Equilibria
Pure Strategy Nash Equilibrium
Bayesian Games
Social Choice Functions
Incentive Compatibility and the Revelation Theorem
Properties of Social Choice Functions
Bayesian Implementation
Revenue Equivalence Theorem
Mechanism Design for Sponsored Search Auctions
Internet Advertising
Sponsored Search Auction
Individual Rationality
Computational Complexity
Mechanism Design for Resource Procurement in Grid Computin
ISBN:9781848009387
Series:e-books
Series:SpringerLink (Online service)
Series:Advanced Information and Knowledge Processing
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Computer science , Artificial intelligence , Social sciences Data processing
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Call number:SPRINGER-2009-9780387886176:ONLINE Show nearby items on shelf
Title:Optimization and Logistics Challenges in the Enterprise [electronic resource]
Author(s): Wanpracha Chaovalitwongse
Kevin C Furman
Panos M Pardalos
Date:2009
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap from mathematical modeling and optimization techniques, to practical solutions of enterprise operations.Mathematically distinct from classi cal supply chain management, this burgeoning research area has proven to be useful and applicable to a wide variety of industries for example, pharmaceutical, chemical, transportation, and shipping,to name a few. This book consists of high quality researc h results and may serve as a one-stop shop to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computationaloptimization. This work is intended for practitioners from industry who use techn iques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering. Itwill also be of value to advanced graduate and PhD students and researchers in operations research, syste ms engineering, and management science
Note:Springer eBooks
Contents:I Process Industry
Challenges in Enterprise Wide Optimization for the Process Industries
Multi
Product Inventory Logistics Modeling in the Process Industries
Modeling and Managing Uncertainty in Process Planning and Scheduling
A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity
II Supply Chain and Logistics Design
An Enterprise Risk Management Model for Supply Chains
Notes On Using Optimization And DSS Techniques to Support Supply Chain And Logistics Operations
On the Quadratic Programming Approach for Hub Locatio
ISBN:9780387886176
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v30
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Mathematical optimization , Industrial engineering , Economics , Business logistics
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Call number:SPRINGER-2009-9780387781655:ONLINE Show nearby items on shelf
Title:Monte Carlo and Quasi-Monte Carlo Sampling [electronic resource]
Author(s): Christiane Lemieux
Date:2009
Edition:1
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:QuasiMonte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their successful implementation on practical problems, especially in finance, has motivated thedevelopment of several new resea rch areas within this field to which practitioners and researchers from various disciplines currently contribute. This book presents essential tools for using quasiMonte Carlo sampling in practice.The first part of the book focuses on issues related to Mo nte Carlo methodsuniform and non-uniform random number generation, variance reduction techniquesbut the material is presented to prepare the readers for the next step,which is to replace the random sampling inherent to Monte Carlo by quasirandom sampling. The second part of the book deals with this next step. Several aspects of quasi-Monte Carlo methods are covered, including constructions,randomizations, the use of ANOVA decompositions, and the concept of effective dimension. The third part of the book i s devoted to applications in finance and more advanced statistical tools like Markov chain Monte Carlo and sequentialMonte Carlo, with a discussion of their quasiMonte Carlo counterpart. The prerequisites for reading this book are a basic knowledge of sta tistics and enough mathematical maturity to follow through the various techniques usedthroughout the book. This text is aimed at graduate students in statistics, management science, operations research, engineering, and applied mathematics. It should also be useful to practitioners who want to learn more about MonteCarlo and quasiMonte Carlo methods and researchers interested in an up-to-date guide to these methods. Christiane Lemieux is an Associate Professor and the Associate Chair for Actuarial Science in the Department of Statistics andActuarial Science at the University of Waterloo in Canada. She is an Associate of the Society of Actuaries and was the winner of a Young Researc
Note:Springer eBooks
Contents:The Monte Carlo Method
Sampling from Known Distributions
Pseudorandom Number Generators
Variance Reduction Techniques
QuasiMonte Carlo Constructions
Using QuasiMonte Carlo in Practice
Financial Applications
Beyond Numerical Integration
ISBN:9780387781655
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2009-9780387097077:ONLINE Show nearby items on shelf
Title:Parallel Scientific Computing and Optimization [electronic resource] : Advances and Applications
Author(s): Raimondas iegis
David Henty
Bo Kgstrm
Julius ilinskas
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys,written by distinguished r esearchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programmingmodels and data, with the largest focus on paralle l scientific computing in industrial applications. Key features include: * construction and analysis of parallel algorithms for linear algebra and optimization problems * differentaspects of parallel architectures, including distributed memory computers w ith multicore processors * a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jetaerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, a nd molecular and cell dynamics. This volume is intended for scientists and graduate students specializing in computer science andapplied mathematics who are engaged in parallel scientific computing
Note:Springer eBooks
Contents:Preface
I. Parallel Algorithms for Matrix Computations
II. Parallel Optimization
III. Management of Data and Programs on Modern Supercomputers
IV. Parallel Scientific Computing in Industrial Applications
Index
ISBN:9780387097077
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v27
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Matrix theory , Numerical analysis , Operations research
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Call number:SPRINGER-2008-9780387789354:ONLINE Show nearby items on shelf
Title:Scheduling [electronic resource] : Theory, Algorithms, and Systems
Author(s): Michael L Pinedo
Date:2008
Edition:Third Edition
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book on scheduling covers theoretical models as well as scheduling problems in the real world. The book consists of three parts. The first part focuses on deterministic scheduling with the associated combinatorial problems.The second part covers probabilistic scheduling models. In this part it is assumed that processing times and other problem data are not known in advance. The third part deals with scheduling in practice. It covers heuristics that arepopular with practitioners and discusses sys tem design and development issues. Each chapter contains a series of computational and theoretical exercises. This book is of interest to theoreticians and practitioners alike. Graduatestudents in operations management, operations research, industrial eng ineering and computer science will find the book to be an accessible and invaluable resource. Scheduling will serve as an essential reference for professionalsworking on scheduling problems in manufacturing and computing environments. Michael Pinedo is th e Julius Schlesinger Professor of Operations Management at New York University
Note:Springer eBooks
Contents:Deterministic Models
Deterministic Models: Preliminaries
Single Machine Models (Deterministic)
Advanced Single Machine Models (Deterministic)
Parallel Machine Models (Deterministic)
Flow Shops and Flexible Flow Shops (Deterministic)
Job Shops (Deterministic)
Open Shops (Deterministic)
Stochastic Models
Stochastic Models: Preliminaries
Single Machine Models (Stochastic)
Single Machine Models with Release Dates (Stochastic)
Parallel Machine Models (Stochastic)
Flow Shops, Job Shops and Open Shops (Stochastic)
Scheduling in Practice
General Purpose Pro
ISBN:9780387789354
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Systems theory , Operations research , Distribution (Probability theory) , Industrial engineering
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Call number:SPRINGER-2008-9780387094212:ONLINE Show nearby items on shelf
Title:Level Crossing Methods in Stochastic Models [electronic resource]
Author(s): Percy H Brill
Date:2008
Publisher:Boston, MA : Springer US : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Since its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly popular among researchers. This volume traces the evolution of level crossing theory for obtainingprobability distributi ons of state variables and demonstrates solution methods in a variety of stochastic models including: queues, inventories, dams, renewal models, counter models, pharmacokinetics, and the natural sciences. Resultsfor both steady-state and transient distrib utions are given, and numerous examples help the reader apply the method to solve problems faster, more easily, and more intuitively. The book includes introductory material for readers new tothe area, as well as advanced material for experienced users of the method, highlighting its usefulness for analyzing a broad class of models and illustrating its flexibility and adaptivity. The concepts, techniques, examples,applications and theoretical results in this book may suggest potentially new theory and new applications. The result is an essential resource for researchers, students, and professionals in operations research, management science,engineering, applied probability, statistics, actuarial science, mathematics, and the natural sciences
Note:Springer eBooks
Contents:Preface
Origin of level crossing method
Sample path and system point
M/G/1 queues and variants
M/M/C queues
G/M/c queues
Dams and inventories
Multi
dimensional models
Embedded level crossing methods
Level crossing estimation
Additional applications
References
Partial bibliography
Index
ISBN:9780387094212
Series:e-books
Series:SpringerLink (Online service)
Series:International Series in Operations Research & Management Science, 0884-8289 : v123
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer system performance , Distribution (Probability theory) , Industrial engineering , Business logistics
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Call number:SPRINGER-2007-9780387346755:ONLINE Show nearby items on shelf
Title:Stochastic Orders [electronic resource]
Author(s): Moshe Shaked
J. George Shanthikumar
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex stochastic systems. This reference text presents a comprehensivecoverage of the various no tions of stochastic orderings, their closure properties, and their applications. Some of these orderings are routinely used in many applications in economics, finance, insurance, management science, operationsresearch, statistics, and various other fields of study. And the value of the other notions of stochastic orderings still needs to be explored further. This book is an ideal reference for anyone interested in decision making underuncertainty and interested in the analysis of complex stochastic system s. It is suitable as a text for advanced graduate course on stochastic ordering and applications. Moshe Shaked is Professor of Mathematics at the University ofArizona, Tucson, AZ. He has made several fundamental contributions to the development of stochas tic ordering and stochastic convexity, with applications in reliability theory and economics. He has published over 150 papers in this andrelated areas. J. George Shanthikumar is Professor of Industrial Engineering and Operations Research at the Universit y of California, Berkeley, CA. He has made fundamental contributions to the application of stochastic ordering andstochastic convexity to queueing and related problems that arise in operations research and management science. He has published over 250 pap ers in this and related fields
Note:Springer eBooks
Contents:Univariate stochastic orders
Mean residual life orders
Univariate variability orders
Univariate monotone convex and related orders
The Laplace transform and related orders
Multivariate stochastic orders
Multivariate variability and related orders
Stochastic convexity and concavity
Postive dependence orders
ISBN:9780387346755
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2006-9780387334776:ONLINE Show nearby items on shelf
Title:Production Planning by Mixed Integer Programming [electronic resource]
Author(s): Yves Pochet
Laurence A Wolsey
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and related supply chain planning problems, covering topics from a basic introduction to planning systems,mixed integer programmi ng (MIP) models and algorithms through the advanced description of mathematical results in polyhedral combinatorics required to solve these problems. This book addresses the solution of real life or industrialproduction planning problems (involving comple x production structures with multiple production stages) using a MIP modeling and reformulation approach. It is based on close to twenty years of research in which the authors have played asignificant role. One of the goals of this book is to allow non-ex pert readers, students in business, engineering, applied mathematics and computer science to solve such problems using standard modeling tools and MIP software. Toachieve this the book provides a unique collection of reformulation results, integrating the m into a comprehensive modeling and reformulation approach, as well as an easy to use problem-solving library. Moreover this approach isdemonstrated through a series of real life case studies, exercises and detailed illustrations. Graduate students and re searchers in operations research, management, science and applied mathematics wishing to gain a deeper understandingof the formulations and mathematics underlying this approach will find this book useful because of its detailed treatment of the polyhedral structure of the basic lot-sizing problems and simple mixed integer sets that arise in thedecomposition of more complicated problems. This book will allow the reader to improve formulations of non-standard MIP models and produce state-of-the-art models a nd algorithms
Note:Springer eBooks
Contents:Production Planning and MIP
The Modeling and Optimization Approach
Production Planning Models and Systems
Mixed Integer Programming Algorithms
Classification and Reformulation
Reformulations in Practice
Basic Polyhedral Combinatorics for Production Planning and MIP
Mixed Integer Programming Algorithms and Decomposition Approaches
Single
Item Uncapacitated Lot
Sizing
Basic MIP and Fixed Cost Flow Models
Single
Item Lot
Sizing
Lot
Sizing with Capacities
Backlogging and Start
Ups
Single
Item Variants
Multi
Item Lot
Sizing
Multi
Item Single Level Proble
ISBN:9780387334776
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Operations research , Industrial engineering , Business logistics , Management information systems
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Call number:SPRINGER-2005-9783540283973:ONLINE Show nearby items on shelf
Title:Data Analysis and Decision Support [electronic resource]
Author(s): Daniel Baier
Reinhold Decker
Lars Schmidt-Thieme
Date:2005
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The volume presents recent advances in data analysis and decision support and gives an actual overview on the interface between mathematics, operations research, statistics, computer science, and management science. Areas thatreceive considerable att ention in the book are discrimination and clustering, multidimensional scaling, data mining and decision support systems as well as applications in marketing and corporate planning. The reader will find materialon recent technical and methodological devel opments and a large number of applications demonstrating the usefulness of the newly developed techniques
Note:Springer eBooks
ISBN:9783540283973
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data structures (Computer science) , Computer science , Information systems , Mathematical statistics , Management information systems
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Call number:SPRINGER-2005-9780387235813:ONLINE Show nearby items on shelf
Title:Supply Chain Optimisation [electronic resource] : Product/Process Design, Facility Location and Flow Control
Author(s): Alexandre Dolgui
Jerzy Soldek
Oleg Zaikin
Date:2005
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of productionsystems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisationproblems taking into account supply chain paradi gms, which create a pivotal idea to increase the productivity of modern production systems. The first part of the book presents a set of modelling techniques taking into account theenterprise integration problem, the knowledge management in the SME networ ks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and managementwhich are based on mathematical programming and metaheuristics. The third part of this book de als with some examples of advanced applied decision aid tools directly linked to real industrial problems. Audience This volume is suitablefor industrial engineers, faculty staff and graduate students in industrial engineering, management science, operati ons research, artificial intelligence and computer sciences. This book can be used as a reference for graduate coursesand also for researchers and industrial engineers to capture current trends in this field
Note:Springer eBooks
Contents:Contributing Authors
Preface
An Initiative for International Consensus on Enterprise
Towards Knowledge Logistics in Agile SME Networks
A Modelling Framework for Human Resource
Based Business Processes
Managing Service
Sensitive Demand Through Simulation
Robust Modeling of Consumer Behaviour
Sizing, Cycle Time and Plant Control Using Dioid Algebra
Concurrent Processes Flow Prototyping
Modelling of the Supply Chain
Hybrid Methods for Line Balancing Problems
Stability of Optimal Line Balance
Simple Plant Location Problem
Concave Cost Supply Management
Pro
ISBN:9780387235813
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Optimization, 1384-6485 : v94
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Mathematical optimization , Operations research
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Call number:SPRINGER-2005-9780387228273:ONLINE Show nearby items on shelf
Title:Tutorials on Emerging Methodologies and Applications in Operations Research [electronic resource] : Presented at Informs 2004, Denver, CO
Author(s): H J G
Date:2005
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Operations Research emerged as a quantitative approach to problem-solving in World War II. Its founders, who were physicists, mathematicians, and engineers, quickly found peace-time uses for this new field. Moreover, we can saythat Operations Researc h (OR) was born in the same incubator as computer science, and through the years, it has spawned many new disciplines, including systems engineering, health care management, and transportation science.Fundamentally, Operations Research crosses discipline domains to seek solutions on a range of problems and benefits diverse disciplines from finance to bioengineering. Many disciplines routinely use OR methods. Many scientificresearchers, engineers, and others will find the methodological presentations in th is book useful and helpful in their problem-solving efforts. ORs strengths are modeling, analysis, and algorithm design. It provides a quantitativefoundation for a broad spectrum of problems, from economics to medicine, from environmental control to sport s, from e-commerce to computational geometry. The primary purpose of TUTORIALS ON EMERGING METHODOLOGIES AND APPLICATIONS INOPERATIONS RESEARCH is to provide a reference for practitioners and academics who seek a clear, concise presentation of developing methodologies, hence providing themselves with the capability to apply these methods to new problems.The field of Operations Research is always changing. Its changes are driven by the technology it uses and that it extends, and the applications that it af fects. Relevant changes in the field have a permanent effect on the conduct of ORand are vital to anyone who wants to be current in the field. Each chapter presents a new developing methodology in Operations Research. Each chapter examines each topic with clarity and depth, and organizes the examination around thefollowing questions: (1) What the developing methodology basically is about? (2) Why is it important? and (3) Where can I learn more?
Note:Springer eBooks
Contents:Heuristic Search for Network Design
Polyhedral Combinatorics
Radiation Oncology and Optimization
Parallel Algorithm Design for Branch and Bound
Computer
Aided Design for Electrical and Computer Engineering
Nonlinear Programming and Engineering Applications
Connecting MRP, MRP II and ERP
Supply Chain Production Planning via Optimization Models
ISBN:9780387228273
Series:e-books
Series:SpringerLink (Online service)
Series:International Series in Operations Research & Management Science, 0884-8289 : v76
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Computational complexity , Computer aided design , Computer science Mathematics , Operations research
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Call number:SPRINGER-2004-9783540247777:ONLINE Show nearby items on shelf
Title:Knapsack Problems
Author(s): Hans Kellerer
Date:2004
Size:1 online resource (548 p.)
Note:10.1007/978-3-540-24777-7
Contents:1 Introduction -- 1.1 Introducing the Knapsack Problem -- 1.2 Variants and Extensions of the Knapsack Pr©blem -- 1.3 Single-Capacity Versus All-Capacities Problem -- 1.4 Assumptions on the Input Data -- 1.5 Performance of Algorithms
-- 2. Basic Algorithmic Concepts -- 2.1 The Greedy Algorithm -- 2.2 Linear Programming Relaxation -- 2.3 Dynamic Programming -- 2.4 Branch-and-Bound -- 2.5 Approximation Algorithms -- 2.6 Approximation Schemes -- 3. Advanced
Algorithmic Concepts -- 3.1 Finding the Split Item in Linear Time -- 3.2 Variable Reduction -- 3.3 Storage Reduction in Dynamic Programming -- 3.4 Dynamic Programming with Lists -- 3.5 Combining Dynamic Programming and Upper Bounds --
3.6 Balancing -- 3.7 Word RAM Algorithms -- 3.8 Relaxations -- 3.9 Lagrangian Decomposition -- 3.10 The Knapsack Polytope -- 4. The Subset Sum Problem -- 4.1 Dynamic Programming -- 4.2 Branch-and-Bound -- 4.3 Core Algorithms -- 4.4
Computational Results: Exact Algorithms -- 4.5 Polynomial Time Approximation Schemes for Subset Sum -- 4.6 A Fully Polynomial Time Approximation Scheme for Subset Sum -- 4.7 Computational Results: FPTAS -- 5. Exact Solution of the
Knapsack Problem -- 5.1 Branch-and-Bound -- 5.2 Primal Dynamic Programming Algorithms -- 5.3 Primal-Dual Dynamic Programming Algorithms -- 5.4 The Core Concept -- 5.5 Computational Experiments -- 6. Approximation Algorithms for the
Knapsack Problem -- 6.1 Polynomial Time Approximation Schemes -- 6.2 Fully Polynomial Time Approximation Schemes -- 7. The Bounded Knapsack Problem -- 7.1 Introduction -- 7.2 Dynamic Programming -- 7.3 Branch-and-Bound -- 7.4
Approximation Algorithms -- 8. The Unbounded Knapsack Problem -- 8.1 Introduction -- 8.2 Periodicity and Dominance -- 8.3 Dynamic Programming -- 8.4 Branch-and-Bound -- 8.5 Approximation Algorithms -- 9 Multidimensional Knapsack
Problems -- 9.1 Introduction -- 9.2 Relaxations and Reductions -- 9.3 Exact Algorithms -- 9.4 Approximation -- 9.5 Heuristic Algorithms -- 9.6 The Two-Dimensional Knapsack Problem -- 9.7 The Cardinality Constrained Knapsack Problem --
9.8 The Multidimensional Multiple-Choice Knapsack Problem -- 10. Multiple Knapsack Problems -- 10.1 Introduction -- 10.2 Upper Bounds -- 10.3 Branch-and-Bound -- 10.4 Approximation Algorithms -- 10.5 Polynomial Time Approximation
Schemes -- 10.6 Variants of the Multiple Knapsack Problem -- 11. The Multiple-Choice Knapsack Problem -- 11.1 Introduction -- 11.2 Dominance and Upper Bounds -- 11.3 Class Reduction -- 11.4 Branch-and-Bound -- 11.5 Dynamic Programming
-- 11.6 Reduction of States -- 11.7 Hybrid Algorithms and Expanding Core Algorithms -- 11.8 Computational Experiments -- 11.9 Heuristics and Approximation Algorithms -- 11.10 Variants of the Multiple-Choice Knapsack Problem -- 12. The
Quadratic Knapsack Problem -- 12.1 Introduction -- 12.2 Upper Bounds -- 12.3 Variable Reduction -- 12.4 Branch-and-Bound -- 12.5 The Algorithm by Caprara, Pisinger and Toth -- 12.6 Heuristics -- 12.7 Approximation Algorithms -- 12.8
Computational Experiments Exact Algorithms -- 12.9 Computational Experiments Upper Bounds -- 13. Other Knapsack Problems -- 13.1 Multiobjective Knapsack Problems -- 13.2 The Precedence Constraint Knapsack Problem (PCKP) -- 13.3 Further
Variants -- 14. Stochastic Aspects of Knapsack Problems -- 14.1 The Probabilistic Model -- 14.2 Structural Results -- 14.3 Algorithms with Expected Performance Guarantee -- 14.4 Expected Performance of Greedy-Type Algorithms -- 14.5
Algorithms with Expected Running Time -- 14.6 Results for the Subset Sum Problem -- 14.7 Results for the Multidimensional Knapsack Problem -- 14.8 The On-Line Knapsack Problem -- 15. Some Selected Applications -- 15.1 Two-Dimensional
Two-Stage Cutting Problems -- 15.2 Column Generation in Cutting Stock Problems -- 15.3 Separation of Cover Inequalities -- 15.4 Financial Decision Problems -- 15.5 Asset-Backed Securitization -- 15.6 Knapsack Cryptosystems -- 15.7
Combinatorial Auctions -- A. Introduction to NP-Completeness of Knapsack Problems -- A.1 Definitions -- A.2 NP-Completeness of the Subset Sum Problem -- A.3 NP-Completeness of the Knapsack Problem -- A.4 NP-Completeness of Other
Knapsack Problems -- References -- Author Index
ISBN:9783540247777
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Operations research , Decision making , Computer science , Mathematical optimization , Management science , Mathematics , Optimization , Operation Research/Decision Theory , Discrete Mathematics in Computer Science , Operations Research, Management Science
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Call number:SPRINGER-2004-9781475740783:ONLINE Show nearby items on shelf
Title:Introduction to Rare Event Simulation
Author(s): James Antonio Bucklew
Date:2004
Size:1 online resource (268 p.)
Note:10.1007/978-1-4757-4078-3
Contents:1. Random Number Generation -- 2. Stochastic Models -- 3. Large Deviation Theory -- 4. Importance Sampling -- 5. The Large Deviation Theory of Importance Sampling Estimators -- 6. Variance Rate Theory of Conditional Importance
Sampling Estimators -- 7. The Large Deviations of Bias Point Selection -- 8. Chernoff’s Bound and Asymptotic Expansions -- 9. Gaussian Systems -- 10. Universal Simulation Distributions -- 11. Rare Event Simulation for Level Crossing
and Queueing Models -- 12. Blind Simulation -- 13. The (Over-Under) Biasing Problem in Importance Sampling -- 14. Tools and Techniques for Importance Sampling -- A. Convex Functions and Analysis -- B. A Covering Lemma -- C.
Pseudo-Random Number Generator Programs -- References
ISBN:9781475740783
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Computer communication systems , Computer simulation , Operations research , Management science , Probabilities , Applied mathematics , Engineering mathematics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Simulation and Modeling , Probability Theory and Stochastic Processes , Computer Communication Networks , Operations Research, Management Science , Appl.Mathematics/Computational Methods of Engineering
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Call number:SPRINGER-2004-9781468493931:ONLINE Show nearby items on shelf
Title:Feynman-Kac Formulae Genealogical and Interacting Particle Systems with Applications
Author(s): Pierre Del Moral
Date:2004
Size:1 online resource (556 p.)
Note:10.1007/978-1-4684-9393-1
Contents:1 Introduction -- 1.1 On the Origins of Feynman-Kac and Particle Models -- 1.2 Notation and Conventions -- 1.3 Feynman-Kac Path Models -- 1.4 Motivating Examples -- 1.5 Interacting Particle Systems -- 1.6 Sequential Monte Carlo
Methodology -- 1.7 Particle Interpretations -- 1.8 A Contents Guide for the Reader -- 2 Feynman-Kac Formulae -- 2.1 Introduction -- 2.2 An Introduction to Markov Chains -- 2.4 Structural Stability Properties -- 2.5 Distribution Flows
Models -- 2.6 Feynman-Kac Models in Random Media -- 2.7 Feynman-Kac Semigroups -- 3 Genealogical and Interacting Particle Models -- 3.1 Introduction -- 3.2 Interacting Particle Interpretations -- 3.3 Particle models with Degenerate
Potential -- 3.4 Historical and Genealogical Tree Models -- 3.5 Particle Approximation Measures -- 4 Stability of Feynman-Kac Semigroups -- 4.1 Introduction -- 4.2 Contraction Properties of Markov Kernels -- 4.3 Contraction Properties
of Feynman-Kac Semigroups -- 4.4 Updated Feynman-Kac Models -- 5 Invariant Measures and Related Topics -- 5.1 Introduction -- 5.2 Existence and Uniqueness -- 5.3 Invariant Measures and Feynman-Kac Modeling -- 5.4 Feynman-Kac and
Metropolis-Hastings Models -- 5.5 Feynman-Kac-Metropolis Models -- 6 Annealing Properties -- 6.1 Introduction -- 6.2 Feynman-Kac-Metropolis Models -- 6.3 Feynman-Kac Trapping Models -- 7 Asymptotic Behavior -- 7.1 Introduction -- 7.2
Some Preliminaries -- 7.3 Inequalities for Independent Random Variables -- 7.4 Strong Law of Large Numbers -- 8 Propagation of Chaos -- 8.1 Introduction -- 8.2 Some Preliminaries -- 8.3 Outline of Results -- 8.4 Weak Propagation of
Chaos -- 8.5 Relative Entropy Estimates -- 8.6 A Combinatorial Transport Equation -- 8.7 Asymptotic Properties of Boltzmann-Gibbs Distributions -- 8.8 Feynman-Kac Semigroups -- 9 Central Limit Theorems -- 9.1 Introduction -- 9.2 Some
Preliminaries -- 9.3 Some Local Fluctuation Results -- 9.4 Particle Density Profiles -- 9.5 A Berry-Esseen Type Theorem -- 9.6 A Donsker Type Theorem -- 9.7 Path-Space Models -- 9.8 Covariance Functions -- 10 Large-Deviation Principles
-- 10.1 Introduction -- 10.2 Some Preliminary Results -- 10.3 Crámer’s Method -- 10.4 Laplace-Varadhan’s Integral Techniques -- 10.5 Dawson-Gärtner Projective Limits Techniques -- 10.6 Sanov’s Theorem -- 10.7 Path-Space and Interacting
Particle Models -- 10.8 Particle Density Profile Models -- 11 Feynman-Kac and Interacting Particle Recipes -- 11.1 Introduction -- 11.2 Interacting Metropolis Models -- 11.3 An Overview of some General Principles -- 11.4 Descendant and
Ancestral Genealogies -- 11.5 Conditional Explorations -- 11.6 State-Space Enlargements and Path-Particle Models -- 11.7 Conditional Excursion Particle Models -- 11.8 Branching Selection Variants -- 11.9 Exercises -- 12 Applications --
12.1 Introduction -- 12.2 Random Excursion Models -- 12.3 Change of Reference Measures -- 12.4 Spectral Analysis of Feynman-Kac-Schrödinger Semigroups -- 12.5 Directed Polymers Simulation -- 12.6 Filtering/Smoothing and Path estimation
-- References
ISBN:9781468493931
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical models , Operations research , Management science , Probabilities , Statistical physics , Dynamical systems , Statistics , Applied mathematics , Engineering mathematics , Mathematics , Probability Theory and Stochastic Processes , Statistical Physics, Dynamical Systems and Complexity , Mathematical Modeling and Industrial Mathematics , Operations Research, Management Science , Appl.Mathematics/Computational Methods of Engineering , Statistical Theory and Methods
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Call number:SPRINGER-2004-9781402081057:ONLINE Show nearby items on shelf
Title:Goal Programming Techniques for Bank Asset Liability Management
Author(s): Kyriaki Kosmidou
Date:2004
Size:1 online resource (166 p.)
Note:10.1007/b106009
Contents:Review of the asset liability management techniques -- Bank asset liability management methodology -- Application -- Conclusions and future perspectives
ISBN:9781402081057
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 90
Keywords: Finance , Management , Operations research , Decision making , Management science , Finance , Finance, general , Operations Research, Management Science , Operation Research/Decision Theory , Management
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Call number:SPRINGER-2003-9783662130520:ONLINE Show nearby items on shelf
Title:Stochastic Networks and Queues
Author(s): Philippe Robert
Date:2003
Size:1 online resource (399 p.)
Note:10.1007/978-3-662-13052-0
Contents:1. Point Processes: 1.1 General Definitions 1.2 Poisson Processes 1.3 Poisson Point Processes on the Real Line 1.4 Renewal Point Processes -- 2. The GI/GI/1 FIFO Queue and Random Walks: 2.1 General results on the GI/GI/1 FIFO Queue
2.2 Wiener-Hopf Factorization 2.3 Applications to the GI/GI/1 Queue 2.4 The GI/M/1 and M/GI/1 Queues 2.5 The H/G/1 Queue 2.6 A Probabilistic Proof -- 3. Limit Theorems for the GI/GI/1 Queue: 3.1 Introduction 3.2 The Biased Random Walk
3.3 The Tail Distribution of W 3.4 The Maximum of a Busy Period 3.5 The GI/GI/1 Queue near Saturation 3.6 The Random Walk Conditioned to Hit Level a -- 4. Stochastic Networks and Reversibility: 4.1 Introduction 4.2 Reversibility of
Markov Processes 4.3 Local Balance Equations 4.4 Queueing Networks with Product Form -- 5. The M/M/1 Queue: 5.1 Introduction 5.2 Exponential Martingales 5.3 Hitting Times: Downward 5.4 Convergence to Equilibrium 5.5 Hitting Times:
Upward 5.6 Rare Events 5.7 Fluid Limits 5.8 Large Deviations 5.9 Appendix -- 6. The M/M/infinity Queue: 6.1 Introduction 6.2 Positive Martingales 6.3 Hitting Times: Downward 6.4 Hitting Times: Upward 6.5 Fluid Limits 6.6 A Functional
Central Limit Theorem 6.7 The M/M/N/N Queue 6.8 Appendix -- 7. Queues with Poisson Arrivals: 7.1 FIFO Queue 7.2 Infinite Server Queue 7.3 LIFO Queue with Preemptive Service 7.4 Processor-Sharing Queue 7.5 The Insensitivity Property 7.6
The Distribution Seen by Customers -- 8. Recurrence and Transience of Markov Chains: 8.1 Recurrence of Markov Chains 8.2 Ergodicity 8.3 Transience 8.4 Ergodicity of Markov Processes 8.5 Some Applications 8.6 The Classical Version of
Lyapunov's Theorem -- 9. Rescaled Markov Processes and Fluid Limits: 9.1 Introduction 9.2 Rescaled Markov Processes 9.3 The Fluid Limits of a Class of Markov Processes 9.4 Fluid Limits and Skorohod Problems 9.5 Fluid Limits and
Ergodicity Properties 9.6 Fluid Limits and Local Equilibrium 9.7 Bibliographical Notes -- 10. Ergodic Theory: Basic Results: 10.1 Discrete Dynamical Systems 10.2 Ergodic Theorems 10.3 Continuous Time Dynamical Systems 10.4 Markovian
Endomorphisms -- 11. Stationary Point Processes: 11.1 Introduction 11.2 The Palm Space of the Arrival Process 11.3 Construction of a Stationary Point Process 11.4 Relations Between the Palm Space and Its Extension 11.5 Joint
Distribution of the Points Around t=0 11.6 Some Properties of Stationary Point Processes 11.7 Appendix -- 12. The G/G/1 FIFO Queue: 12.1 The Waiting Time 12.2 Virtual Waiting Time 12.3 The Number of Customers 12.4 The Associated
Stationary Point Processes 12.5 The Unstable G/G/1 Queue 12.6 A Queue with Two Servers, the G/G/2 Queue -- A. Martingales: A.1 Discrete Time Parameter Martingales A.2 Continuous Time Martingales A.3 The Stochastic Integral for a
Poisson Process A.4 Stochastic Differential Equations with Jumps -- B. Markovian Jump Processes: B.1 Q-Matrices B.2 Global Balance Equations B.3 The Associated Martingales -- C. Convergence in Distribution: C.1 The Total Variation Norm
on Probability Distributions C.2 Convergence of Stochastic Processes -- D. An Introduction to Skorohod Problems: D.1 Dimension 1 D.2 Multi-Dimensional Skorohod Problems
ISBN:9783662130520
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applications of Mathematics, Stochastic Modelling and Applied Probability: 52
Keywords: Mathematics , Operations research , Management science , Probabilities , Mathematics , Probability Theory and Stochastic Processes , Operations Research, Management Science
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Call number:SPRINGER-2003-9783662050781:ONLINE Show nearby items on shelf
Title:Numerical Optimization Theoretical and Practical Aspects
Author(s): J. Frédéric Bonnans
Date:2003
Size:1 online resource (423 p.)
Note:10.1007/978-3-662-05078-1
Contents:1 General Introduction -- 2 Basic Methods -- 3 Line-Searches -- 4 Newtonian Methods -- 5 Conjugate Gradient -- 6 Special Methods -- 7 Some Theory of Nonsmooth Optimization -- 8 Some Methods in Nonsmooth Optimization -- 9 Bundle
Methods. The Quest of Descent -- 10 Decomposition and Duality -- 11 Background -- 12 Local Methods for Problems with Equality Constraints -- 13 Local Methods for Problems with Equality and Inequality Constraints -- 14 Exact
Penalization -- 15 Globalization by Line-Search -- 16 Quasi-Newton Versions -- 17 Linearly Constrained Optimization and Simplex Algorithm -- 18 Linear Monotone Complementarity and Associated Vector Fields -- 19 Predictor-Corrector
Algorithms -- 20 Non-Feasible Algorithms -- 21 Self-Duality -- 22 One-Step Methods -- 23 Complexity of Linear Optimization Problems with Integer Data -- 24 Karmarkar’s Algorithm -- References
ISBN:9783662050781
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Algorithms , Computer science , Numerical analysis , Mathematical optimization , Calculus of variations , Operations research , Management science , Mathematics , Optimization , Operations Research, Management Science , Calculus of Variations and Optimal Control Optimization , Numerical Analysis , Algorithm Analysis and Problem Complexity , Mathematics of Computing
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Call number:SPRINGER-2003-9783034880244:ONLINE Show nearby items on shelf
Title:Markov Chains and Invariant Probabilities
Author(s): Onésimo Hernández-Lerma
Date:2003
Size:1 online resource (208 p.)
Note:10.1007/978-3-0348-8024-4
Contents:1 Preliminaries -- 1.1 Introduction -- 1.2 Measures and Functions -- 1.3 Weak Topologies -- 1.4 Convergence of Measures -- 1.5 Complements -- 1.6 Notes -- I Markov Chains and Ergodicity -- 2 Markov Chains and Ergodic Theorems -- 3
Countable Markov Chains -- 4 Harris Markov Chains -- 5 Markov Chains in Metric Spaces -- 6 Classification of Markov Chains via Occupation Measures -- II Further Ergodicity Properties -- 7 Feller Markov Chains -- 8 The Poisson Equation
-- 9 Strong and Uniform Ergodicity -- III Existence and Approximation of Invariant Probability Measures -- 10 Existence of Invariant Probability Measures -- 11 Existence and Uniqueness of Fixed Points for Markov Operators -- 12
Approximation Procedures for Invariant Probability Measures
ISBN:9783034880244
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Progress in Mathematics : 211
Keywords: Mathematics , Operations research , Management science , Probabilities , Physics , Mathematics , Probability Theory and Stochastic Processes , Operations Research, Management Science , Mathematical Methods in Physics
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Call number:SPRINGER-2003-9781475737523:ONLINE Show nearby items on shelf
Title:Operations Research in Space and Air
Author(s):
Date:2003
Size:1 online resource (446 p.)
Note:10.1007/978-1-4757-3752-3
Contents:I Space -- 1 OR Applications in Space Systems Development and Operations -- 2 A Cargo Accommodation Problem for a Space Vehicle -- 3 A Heuristic Procedure for the RC Problem -- 4 3-Dimensional Packing Problems Arising in Space
Engineering -- 5 Spacecraft Design as a Multi-Criteria Decision-Making -- 6 Combining Evolution Programs and Gradient Methods -- 7 MP for Earth Observation Satellite Mission Planning -- 8 On-Orbit Satellite Servicing: a Space-based
Vehicle Routing Problem -- 9 Data Mining in Astronomy -- 10 Launch Capacity Analysis for Commercial Communications Satellites -- 11 Value of Information Based Design of Control Software -- 12 Trajectory Design Combining Low-Thrust and
Gravity Assist Manoeuvres -- II Air -- 13 Solving Multi-Criteria Through-Fleet Assignment Models -- 14 Analysis of Market-Based Demand Management Strategies -- 15 Overhaul-Tasks Scheduling Model -- 16 Airline Recovery Model -- 17
Routing Considerations in Airline Yield Management -- 18 Models and Algorithms for the Airport Capacity Allocation Problem -- 19 A New Yield Management Approach in Multi-variable Environments -- 20 Materialisation Forecasting: A Data
Mining Perspective -- 21 Optimization-Based Integrated Manpower Management for Airlines
ISBN:9781475737523
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 79
Keywords: Computer science , Software engineering , System theory , Mathematical models , Mathematical optimization , Astronomy , Astrophysics , Cosmology , Automotive engineering , Computer Science , Software Engineering/Programming and Operating Systems , Astronomy, Astrophysics and Cosmology , Optimization , Systems Theory, Control , Automotive Engineering , Mathematical Modeling and Industrial Mathematics
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Call number:SPRINGER-2003-9781461502579:ONLINE Show nearby items on shelf
Title:Computational Techniques of the Simplex Method
Author(s): István Maros
Date:2003
Size:1 online resource (325 p.)
Note:10.1007/978-1-4615-0257-9
Contents:I Preliminaries -- 1. The Linear Programming Problem -- 2. The Simplex Method -- 3. Large Scale LP Problems -- II Computational Techniques -- 4. Design Principles of LP Systems -- 5. Data Structures and Basic Operations -- 6. Problem
Definition -- 7. LP Preprocessing -- 8. Basis Inverse, Factorization -- 9. The Primal Algorithm -- 10. The Dual Algorithm -- 11. Various Issues
ISBN:9781461502579
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:International Series in Operations Research & Management Science: 61
Keywords: Mathematics , Operations research , Decision making , Computers , Mathematical optimization , Calculus of variations , Management science , Mathematics , Calculus of Variations and Optimal Control Optimization , Optimization , Operations Research, Management Science , Theory of Computation , Operation Research/Decision Theory
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Call number:SPRINGER-2003-9781461302414:ONLINE Show nearby items on shelf
Title:High Performance Algorithms and Software for Nonlinear Optimization
Author(s):
Date:2003
Size:1 online resource (416 p.)
Note:10.1007/978-1-4613-0241-4
Contents:1. Quasi-Newton Algorithms for Large-Scale Nonlinear Least-Squares -- 2. The Extended Ritz Method in Stochastic Functional Optimizazion: An Example of Dynamic Routing in Traffic Networks -- 3. Efficient Serial and Parallel
Implementation of the Cutting Angle Method -- 4. A Globalization Strategy for Interior Point Methods for Mixed Complementarity Problems -- 5. A Comparative Study of Large-Scale Nonlinear Optimization Algorithms -- 6. A Software System
for PDE-Constrained Optimization Problems -- 7. A Truncated SQP Algorithm for Solving Nonconvex Equality Constrained Optimization Problems -- 8. Newton-Type Methods for the Approximate Solution of Nonlinear Programming Problems in
Real-Time -- 9. Fruitful Uses of Smooth Exact Merit Functions in Constrained Optimization -- 10. New Perspective on the Theorems of Alternative -- 11. Planar-CG Methods and Matrix Tridiagonalization in Large Scale Unconstrained
Optimization -- 12. Filter-type Algorithms for Solving Systems of Algebraic Equations and Inequalities -- 13. A New Algorithm for Solving Large Scale Molecular Distance Geometry Problems -- 14. PENNON A generalized Augmented Lagrangian
Method for Semidefinite Programming -- 15. Understanding Asynchronous Parallel Pattern Search -- 16. Smoothing Techniques for the Solution of Finite and Semi-Infinite Min-Max-Min Problems -- 17. Exploiting Optimality Conditions in
Accurate Static Circuit Tuning -- 18. Efficient Analysis on a Truncated Newton Method with Preconditioned Conjugate Gradient Technique for Optimization
ISBN:9781461302414
Series:eBooks
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Series:Applied Optimization: 82
Keywords: Mathematics , Operations research , Decision making , Computers , Numerical analysis , Mathematical optimization , Management science , Mathematics , Optimization , Numeric Computing , Theory of Computation , Operation Research/Decision Theory , Operations Research, Management Science
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Call number:SPRINGER-2003-9781461302339:ONLINE Show nearby items on shelf
Title:Optimization and Industry: New Frontiers
Author(s):
Date:2003
Size:1 online resource (340 p.)
Note:10.1007/978-1-4613-0233-9
Contents:1 Addressing the Solution of Nonsmooth Optimization Problems Arising in Industry -- 2 Heuristic Approaches to Production-Inventory-Distribution Problems in Supply Chains -- 3 Optimization in the Automotive Industry -- 4 Combinatorial
Optimization in Telecommunications -- 5 Air Traffic Management at Sydney with Cancellations and Curfew Penalties -- 6 Nash Equilibria in Electricity Markets with Fixed Prices Points -- 7 Metaheuristic Algorithms for the Strip Packing
Problem -- 8 On the Role of Nonlocal Correlations in Optimization -- 9 Global minimization of Lennard-Jones clusters by a two-phase monotonic method -- 10 Optimal Placement of Backbone Structures in a Rural Telecommunication Network --
11 Computational Methods for Epilepsy Diagnosis. Visual Perception and EEG -- 12 Evolving Agents for Global Optimization -- 13 A Decomposition Approach for Optimal Processing of Telecommunications and Cyberspace Systems -- 14
Outsourcing Decision Support: A Web-based Approach -- 15 Intelligent Agent Application within Distributed Networking Simulation System
ISBN:9781461302339
Series:eBooks
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Series:Springer eBooks
Series:Applied Optimization: 78
Keywords: Mathematics , Operations research , Decision making , Computer science , Applied mathematics , Engineering mathematics , Mathematical optimization , Management science , Mathematics , Optimization , Operation Research/Decision Theory , Operations Research, Management Science , Mathematics of Computing , Applications of Mathematics
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Call number:SPRINGER-2003-9781441991720:ONLINE Show nearby items on shelf
Title:Lagrange-type Functions in Constrained Non-Convex Optimization
Author(s): Alexander Rubinov
Date:2003
Size:1 online resource (286 p.)
Note:10.1007/978-1-4419-9172-0
ISBN:9781441991720
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 85
Keywords: Mathematics , Convex geometry , Discrete geometry , Mathematical optimization , Operations research , Management science , Mathematics , Optimization , Operations Research, Management Science , Convex and Discrete Geometry
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Call number:SPRINGER-2003-9780387225906:ONLINE Show nearby items on shelf
Title:Asymptotic Cones and Functions in Optimization and Variational Inequalities
Author(s): Alfred Auslender
Date:2003
Size:1 online resource (249 p.)
Note:10.1007/b97594
Contents:Convex Analysis and Set-Valued Maps: A Review -- Asymptotic Cones and Functions -- Existence and Stability in Optimization Problems -- Minimizing and Stationary Sequences -- Duality in Optimization Problems -- Maximal Monotone Maps
and Variational Inequalities
ISBN:9780387225906
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical analysis , Analysis (Mathematics) , Potential theory (Mathematics) , Mathematical models , Mathematical optimization , Calculus of variations , Operations research , Management science , Mathematics , Mathematical Modeling and Industrial Mathematics , Analysis , Potential Theory , Calculus of Variations and Optimal Control Optimization , Optimization , Operations Research, Management Science
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