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SPIRES-BOOKS: FIND KEYWORD MATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS *END*INIT* use /tmp/qspiwww.webspi1/22169.144 QRY 131.225.70.96 . find keyword mathematical modeling and industrial mathematics ( in books using www Cover
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Call number:9789811019265:ONLINE Show nearby items on shelf
Title:Proceedings of the 7th International Conference on Discrete Element Methods
Author(s):
Date:2017
Size:1 online resource (XLIX, 1455 p. 966 illus p.)
ISBN:9789811019265
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Computer-aided engineering , Mathematical models , Applied mathematics , Engineering mathematics , Continuum mechanics , Physics , Numerical and Computational Physics, Simulation , Appl.Mathematics/Computational Methods of Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Continuum Mechanics and Mechanics of Materials , Mathematical Modeling and Industrial Mathematics
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Call number:9783319500386:ONLINE Show nearby items on shelf
Title:Stochastic Modeling
Author(s): Nicolas Lanchier
Date:2017
Size:1 online resource (XIII, 303 p. 63 illus., 6 illus. in color p.)
Contents:1. Basics of Measure and Probability Theory -- 2. Distribution and Conditional Expectation -- 3. Limit Theorems -- 4. Stochastic Processes: General Definition -- 5. Martingales -- 6. Branching Processes -- 7. Discrete-time Markov
Chains -- 8. Symmetric Simple Random Walks -- 9. Poisson Point and Poisson Processes -- 10. Continuous-time Markov Chains -- 11. Logistic Growth Process -- 12. Wright-Fisher and Moran Models -- 13. Percolation Models -- 14. Interacting
Particle Systems -- 15. The Contact Process -- 16. The Voter Model -- 17. Numerical Simulations in C and Matlab
ISBN:9783319500386
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Mathematics , Mathematical models , Probabilities , Mathematics , Probability Theory and Stochastic Processes , Mathematical Modeling and Industrial Mathematics
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Call number:9781493967926:ONLINE Show nearby items on shelf
Title:Pricing Derivatives Under Lévy Models Modern Finite-Difference and Pseudo-Differential Operators Approach
Author(s): Andrey Itkin
Date:2017
Size:1 online resource (XX, 308 p. 64 illus., 62 illus. in color p.)
Contents:Basics of a finite-difference method -- Modern finite-difference approach -- An M-matrix theory and FD -- Brief Introduction into Lévy processes -- Pseudo-parabolic and fractional equations of option pricing -- Pseudo-parabolic
equations for various Lévy models -- High-order splitting methods for forward PDEs and PIDEs -- Multi-dimensional structural default models and correlated jumps -- LSV models with stochastic interest rates and correlated jumps --
Stochastic skew model -- Glossary -- References -- Index
ISBN:9781493967926
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Mathematics , Partial differential equations , Economics, Mathematical , Computer mathematics , Mathematical models , Mathematics , Quantitative Finance , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering , Partial Differential Equations
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Call number:SPRINGER-2016-9788847057821:ONLINE Show nearby items on shelf
Title:Modellistica Numerica per Problemi Differenziali
Author(s): Alfio Quarteroni
Date:2016
Edition:6a edizione
Size:1 online resource (640 p.)
Note:10.1007/978-88-470-5782-1
Contents:1 Richiami sulle equazioni alle derivate parziali -- 2 Richiami di analisi funzionale -- 3 Equazioni di tipo ellittico -- 4 Il metodo di Galerkin-elementi finiti per problemi ellittici -- 5 Equazioni paraboliche -- 6 Generazione di griglie in 1D e 2D -- 7 Algoritmi di risoluzione di sistemi lineari -- 8 Cenni di programmazione degli elementi finiti -- 9 Il metodo dei volumi finiti -- 10 I metodi spettrali -- 11 Metodi con elementi discontinui -- 12 Equazioni di diffusione-trasporto-reazione -- 13 D ifferenze finite per equazioni iperboliche -- 14 Elementi finiti e metodi spettrali per equazioni iperboliche -- 15 Cenni a problemi iperbolici non lineari -- 16 Le equazioni di Navier-Stokes -- 17 Introduzione al controllo ottimale per equazioni a deriva te parziali -- 18 Il metodo di decomposizione dei domini
ISBN:9788847057821
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:UNITEXT: 97
Keywords: Mathematics , Mathematical analysis , Analysis (Mathematics) , Applied mathematics , Engineering mathematics , Computer mathematics , Numerical analysis , Mathematical models , Mathematics , Mathematics, general , Analysis , Numerical Analysis , Mathematical Modeling and Industrial Mathematics , Applications of Mathematics , Computational Mathematics and Numerical Analysis
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Call number:SPRINGER-2016-9783319327266:ONLINE Show nearby items on shelf
Title:Scaling of Differential Equations
Author(s): Hans Petter Langtangen
Date:2016
Size:1 online resource (138 p.)
Note:10.1007/978-3-319-32726-6
Contents:Preface -- 1 Dimensions and Units -- 2 Ordinary Differential Equations Models -- 3 Basic Partial Differential Equations Models -- Advanced Partial Differential Equations Models -- References -- Index
ISBN:9783319327266
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Simula SpringerBriefs on Computing : 2
Keywords: Mathematics , Computer simulation , Differential equations , Partial differential equations , Computer mathematics , Mathematical models , Mathematics , Ordinary Differential Equations , Partial Differential Equations , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering , Simulation and Modeling
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Call number:SPRINGER-2016-9783319321462:ONLINE Show nearby items on shelf
Title:Numerical Simulation in Physics and Engineering Lecture Notes of the XVI 'Jacques-Louis Lions' Spanish-French School
Author(s):
Date:2016
Size:1 online resource (59 p.)
Note:10.1007/978-3-319-32146-2
Contents:1 L. Beirão da Veiga, A. Buffa, G. Sangalli, and R. Vázquez: An introduction to the numerical analysis of isogeometric methods -- 2 M. Hassell and F.–J. Sayas: Convolution Quadrature for Wave Simulations -- 3 A. Baeza: Mathematical Methods in I mage Processing and Computer Vision -- 4 E. Balsa-Canto, A. A. Alonso, A. Arias-Méndez, M.R. García, A. López-Núñez, M. Mosquera-Fernández, C. Vázquez, and C. Vilas: Modeling and optimization techniques with applications in food processes, bio-proc esses and bio-systems -- 5 J. M. Mantas, M. De la Asunción, and M. J. Castro: An introduction to GPU computing for numerical simulation
ISBN:9783319321462
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:SEMA SIMAI Springer Series: 9
Keywords: Mathematics , Computer programming , Image processing , Partial differential equations , Numerical analysis , Mathematical models , Mathematics , Mathematical Modeling and Industrial Mathematics , Numerical Analysis , Partial Differential Equations , Image Processing and Computer Vision , Programming Techniques
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Call number:SPRINGER-2016-9783319310893:ONLINE Show nearby items on shelf
Title:Brownian Motion, Martingales, and Stochastic Calculus
Author(s): Jean-François Le Gall
Date:2016
Size:1 online resource (1 p.)
Note:10.1007/978-3-319-31089-3
Contents:Gaussian variables and Gaussian processes -- Brownian motion -- Filtrations and martingales -- Continuous semimartingales -- Stochastic integration -- General theory of Markov processes -- Brownian motion and partial differential equations -- Stoch astic differential equations -- Local times -- The monotone class lemma -- Discrete martingales -- References
ISBN:9783319310893
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Graduate Texts in Mathematics: 274
Keywords: Mathematics , Measure theory , Economics, Mathematical , System theory , Mathematical models , Probabilities , Mathematics , Probability Theory and Stochastic Processes , Quantitative Finance , Measure and Integration , Mathematical Modeling and Industrial Mathematics , Systems Theory, Control
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Call number:SPRINGER-2016-9783319303994:ONLINE Show nearby items on shelf
Title:Scientific Computing in Electrical Engineering SCEE 2014, Wuppertal, Germany, July 2014
Author(s):
Date:2016
Size:1 online resource (67 p.)
Note:10.1007/978-3-319-30399-4
Contents:Part I Device Modelling, Electric Circuits and Simulation -- Part II Computational Electromagnetics -- Part III Coupled Problems -- Part IV Model Order Reduction -- Part V Uncertainty Quantification
ISBN:9783319303994
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematics in Industry: 23
Keywords: Mathematics , Computer simulation , Computer-aided engineering , Computer mathematics , Mathematical models , Physics , Applied mathematics , Engineering mathematics , Mathematics , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering , Appl.Mathematics/Computational Methods of Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Simulation and Modeling , Numerical and Computational Physics
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Call number:SPRINGER-2016-9783319301150:ONLINE Show nearby items on shelf
Title:Simulation-Driven Design by Knowledge-Based Response Correction Techniques
Author(s): Slawomir Koziel
Date:2016
Size:1 online resource (93 p.)
Note:10.1007/978-3-319-30115-0
Contents:Introduction -- Simulation-Driven Design -- Fundamentals of Numerical Optimization -- Introduction to Surrogate-Based Modeling and Surrogate-Based Optimization -- Design Optimization Using Response Correction Techniques -- Surrogate-Based Optimizat ion Using Parametric Response Correction -- Non-Parametric Response Correction Techniques -- Expedited Simulation-Driven Optimization Using Adaptively Adjusted Design Specification -- Surrogate-Assisted Design Optimization Using Response Features -- Enhan cing Response Correction Techniques by Adjoint Sensitivity -- Multi-Objective Optimization Using Variable-Fidelity Models and Response Correction -- Physics-Base Surrogate Models Using Response Correction -- Summary and Discussion -- References.
ISBN:9783319301150
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer mathematics , Mathematical models , Mathematical optimization , Mathematics , Discrete Optimization , Continuous Optimization , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering
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Call number:SPRINGER-2016-9783319279398:ONLINE Show nearby items on shelf
Title:Mathematics in Everyday Life
Author(s): John Haigh
Date:2016
Edition:1st ed. 2016
Size:1 online resource (14 p.)
Note:10.1007/978-3-319-27939-8
Contents:Money -- Differential Equations -- Sport and Games -- Business Applications -- Social Sciences -- TV Game Shows
ISBN:9783319279398
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Differential equations , Game theory , Mathematical models , Mathematics , Mathematics, general , Ordinary Differential Equations , Game Theory, Economics, Social and Behav. Sciences , Mathematical Modeling and Industrial Mathematics
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Call number:SPRINGER-2016-9783319278360:ONLINE Show nearby items on shelf
Title:Mathematical Modelling
Author(s): Matti Heiliö
Date:2016
Size:1 online resource (13 p.)
Note:10.1007/978-3-319-27836-0
Contents:1 Introduction by S. Pohjolainen and M. Heiliö -- 2 Models and Applications by M. Heiliö -- 3 Viewpoints on Systems and Models by E. Laitinen -- 4 Integer Models by R. Silvennoinen and J. Merikoski -- 5 Data Based Models by J. Merikoski et al -- 6 Soft Computing Methods by E. Turunen et al -- 7 Dimensional Analysis by T. Tiihonen -- 8 Modelling With Differential Equations by J. Tuomela -- 9 Continuum Models by T. Tiihonen -- 10 Simplification of Models by T. Tiihonen -- 11 Acoustic Modelling by S . Pohjolainen and A. Suutala -- 12 Inverse Problems by M. Vauhkonen et al -- 13 Project Titles by M. Heiliö
ISBN:9783319278360
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Computer mathematics , Mathematical models , Applied mathematics , Engineering mathematics , Mathematics , Mathematical Modeling and Industrial Mathematics , Appl.Mathematics/Computational Methods of Engineering , Computational Science and Engineering , Simulation and Modeling
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Call number:SPRINGER-2016-9783319275178:ONLINE Show nearby items on shelf
Title:Simulation-Driven Modeling and Optimization ASDOM, Reykjavik, August 2014
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (51 p.)
Note:10.1007/978-3-319-27517-8
Contents:Numerical Aspects of Model Order Reduction for Gas Transportation Networks (Grundel, S., Hornung, N. & Roggendorf, S.) -- Parameter Studies for Energy Networks with Examples from Gas Transport (Clees, T.) -- Fast Multi-Objective Aerodynamic Optimiza tion Using Space-Mapping-Corrected Multi-Fidelity Models and Kriging Interpolation (Leifsson, L. et al.) -- Assessment of Inverse and Direct Methods for Airfoil and Wing Design (Zhang, M. & Rizzi, A.W.) -- Performance Optimization of EBG-Based Common Mode Filters for Signal Integrity Applications (Orlandi, A. et al.) -- Unattended Design of Wide-Band Planar Filters using a Two-Step Aggressive Space Mapping (ASM) Optimization Algorithm (Boria, V. et al.) -- Two-Stage Gaussian Process Modeling of Microwave Structures for Design Optimization (Jacobs, J.P. & Koziel, S.) -- Efficient Reconfigurable Microstrip Patch Antenna Modeling Exploiting Knowledge Based Artificial Neural Networks (Simsek, M. & Aoad, A.) -- Expedited Simulation-Driven
Multi-Objective Design Optimization of Quasi-Isotropic Dielectric Resonator Antenna (Bekasiewicz, A. et al.) -- Optimal Design of Photonic Crystal Nanostructures (Hassan, A.-K., Rafat, N. & Mohamed, A.S.A.) -- Design Optimization of LNAs and Reflect array Antennas using the Full-Wave Simulation based Artificial Intelligence Models with the Novel Metaheuristic Algorithms (Güneş, F., Demirel, S. & Nesil, S.) -- Stochastic Decision-Making in Waste Management Using a Firefly Algorithm-Driven Simulation -Optimization Approach for Generating Alternatives (Yeomans, J.S., Imanirad, R. & Yang, X.-S.) -- Linear and Nonlinear System Identification using Evolutionary Optimisation (Worden, K. et al.) -- A Surrogate-Model-Assisted Evolutionary Algorithm for Compu tationally Expensive Design Optimization Problems with Inequality Constraints (Liu, B., Zhang, Q. & Gielen, G.) -- Sobol Indices for Dimension Adaptivity in Sparse Grids (Dwight, R.P., Desmedt, S.G.L., & Omrani, P.S.).
ISBN:9783319275178
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Proceedings in Mathematics & Statistics: 153
Keywords: Mathematics , Computer mathematics , Mathematical models , Calculus of variations , Mathematics , Calculus of Variations and Optimal Control Optimization , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering
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Call number:SPRINGER-2016-9783319270814:ONLINE Show nearby items on shelf
Title:Scientific Models Red Atoms, White Lies and Black Boxes in a Yellow Book
Author(s): Philip Gerlee
Date:2016
Size:1 online resource (8 p.)
Note:10.1007/978-3-319-27081-4
Contents:Prologue -- History.- Structure, Relation and Use -- Interviews.- Worked Examples -- Epilogue -- Further Reading
ISBN:9783319270814
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematics , Mathematical models , Biomathematics , Mathematics , Mathematical Modeling and Industrial Mathematics , Mathematical and Computational Biology , Philosophy of Mathematics
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Call number:SPRINGER-2016-9783319254548:ONLINE Show nearby items on shelf
Title:UK Success Stories in Industrial Mathematics
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (303 p.)
Note:10.1007/978-3-319-25454-8
ISBN:9783319254548
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Mathematical models , Mathematics , Mathematical Modeling and Industrial Mathematics , Applications of Mathematics
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Call number:SPRINGER-2016-9783319154312:ONLINE Show nearby items on shelf
Title:Reduced Basis Methods for Partial Differential Equations An Introduction
Author(s): Alfio Quarteroni
Date:2016
Size:1 online resource (296 p.)
Note:10.1007/978-3-319-15431-2
Contents:1 Introduction -- 2 Representative problems: analysis and (high-fidelity) approximation -- 3 Getting parameters into play -- 4 RB method: basic principle, basic properties -- 5 Construction of reduced basis spaces -- 6 Algebraic and geometrical str ucture -- 7 RB method in actions -- 8 Extension to nonaffine problems -- 9 Extension to nonlinear problems -- 10 Reduction and control: a natural interplay -- 11 Further extensions -- 12 Appendix A Elements of functional analysis
ISBN:9783319154312
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:UNITEXT: 92
Keywords: Mathematics , Partial differential equations , Mathematical models , Applied mathematics , Engineering mathematics , Fluid mechanics , Mathematics , Partial Differential Equations , Mathematical Modeling and Industrial Mathematics , Appl.Mathematics/Computational Methods of Engineering , Engineering Fluid Dynamics
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Call number:SPRINGER-2016-9783319040363:ONLINE Show nearby items on shelf
Title:Dynamic Systems Models New Methods of Parameter and State Estimation
Author(s): Josif A Boguslavskiy
Date:2016
Edition:1st ed. 2016
Size:1 online resource (201 p.)
Note:10.1007/978-3-319-04036-3
Contents:From the Contents: Linear Estimators of a Random-Parameter Vector.-Basis of the Method of Polynomial Approximation -- Polynomial Approximation and Optimization of Control -- Polynomial Approximation Technique Applied to Inverse Vector
Functions -- Identification of Parameters of Nonlinear Dynamical Systems: Smoothing, Filtering and Forecasting the State Vector -- Estimating Status Vectors from Sight Angles -- Estimation of Parameters of Stochastic Models --
Designing the Control of Motion to a Target Point of Phase Space -- Inverse Problems of Dynamics Algorithm for Identifying Parameters of an Aircraft
ISBN:9783319040363
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Economics, Mathematical , Mathematical models , Statistical physics , Aerospace engineering , Astronautics , Physics , Nonlinear Dynamics , Mathematical Modeling and Industrial Mathematics , Aerospace Technology and Astronautics , Signal, Image and Speech Processing , Quantitative Finance
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Call number:SPRINGER-2016-9781493937837:ONLINE Show nearby items on shelf
Title:An Introduction to Mathematical Finance with Applications Understanding and Building Financial Intuition
Author(s): Arlie O Petters
Date:2016
Size:1 online resource (12 p.)
Note:10.1007/978-1-4939-3783-7
Contents:Preface -- 1. Preliminaries and Financial Markets -- 2. The Time Value of Money -- 3. Markowitz Portfolio Theory -- 4. Capital Market Theory and Portfolio Risk Measures -- 5. Binomial Trees and Security Pricing Modeling -- 6. Stochastic Calculus an d Geometric Brownian Motion Model -- 7. Derivatives: Forwards, Futures, Swaps and Options -- 8. The BSM Model and European Option Pricing -- Index.
ISBN:9781493937837
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Economics, Mathematical , Actuarial science , Mathematical models , Probabilities , Mathematics , Quantitative Finance , Mathematical Modeling and Industrial Mathematics , Probability Theory and Stochastic Processes , Actuarial Sciences
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Call number:SPRINGER-2016-9781493933815:ONLINE Show nearby items on shelf
Title:Waves and Compressible Flow
Author(s): Hilary Ockendon
Date:2016
Edition:2nd ed. 2016
Size:1 online resource (243 p.)
Note:10.1007/978-1-4939-3381-5
Contents:Introduction -- The Equations of Inviscid Compressible Flow -- Models for Linear Wave Propagation -- Theories for Linear Waves -- Nonlinear Waves in Fluids -- Shock Waves -- Epilogue
ISBN:9781493933815
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Texts in Applied Mathematics: 47
Keywords: Mathematics , Mathematical models , Mathematical physics , Continuum physics , Fluid mechanics , Mathematics , Mathematical Modeling and Industrial Mathematics , Engineering Fluid Dynamics , Classical Continuum Physics , Mathematical Physics
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Call number:SPRINGER-2014-9789400702028:ONLINE Show nearby items on shelf
Title:Mathematical Models for Eddy Currents and Magnetostatics [electronic resource] : With Selected Applications
Author(s): Rachid Touzani
Jacques Rappaz
Date:2014
Publisher:Dordrecht : Springer Netherlands : Imprint: Springer
Size:1 online resource
Note:This monograph addresses fundamental aspects of mathematical modeling and numerical solution methods of electromagnetic problems involving low frequencies, i.e. magnetostatic and eddy current problems which are rarely presented inthe applied mathemat ics literature. In the first part, the authors introduce the mathematical models in a realistic context in view of their use for industrial applications. Several geometric configurations of electric conductorsleading to different mathematical models are c arefully derived and analyzed, and numerical methods for the solution of the obtained problems are given. Related issues such as convergence of the approximations and error estimates arediscussed. The second part of the monograph presents various coupled problems that involve eddy current or magnetostatic problems, in particular magneto-hydrodynamic problems and magnetic shaping problems concerning the melt flow ofelectrically conducting metals, induction heating processes, inductively coupled plasmas and ferromagnetic screening modeling. The presentation of each model comes with numerical illustration from industrial applications
Contents:Part I Eddy Current Models
Mathematical framework
Introduction
Preliminaries
The Three
Dimensional Case
The Two
Dimensional Case
Maxwell and eddy current equations
Introduction
Maxwell equations
Low frequency approximation
Static cases
Time{Harmonic Regime
Eddy Current Equations
Two
dimensional models
Introduction
A solenoidal two
dimensional model
A transversal model
Three
dimensional models
A current density formulation
A magnetic field formulation
An electric field model
Axisymmetric models
Axisymmetric setting
A magneti
ISBN:9789400702028
Series:eBooks
Series:SpringerLink
Series:Scientific Computation, 1434-8322
Series:Physics and Astronomy (Springer-11651)
Keywords: Mathematics , Computer science , Engineering mathematics
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Call number:SPRINGER-2014-9783319053653:ONLINE Show nearby items on shelf
Title:Progress in Industrial Mathematics at ECMI 2012 [electronic resource]
Author(s): Magnus Fontes
Michael Gnther
Nicole Marheineke
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book contains the proceedings of the 17th European Conference on Mathematics for Industry, ECMI2012, held in Lund, Sweden, July 2012, at which ECMI celebrated its 25th anniversary. It covers mathematics in a wide range ofapplications and methods , from circuit and electromagnetic devices, environment, fibers, flow, medicine, robotics and automotive industry, further applications to methods and education. The book includes contributions from leadingfigures in business, science and academia who pro mote the application of mathematics to industry and emphasize industrial sectors that offer the most exciting opportunities. The contributions reinforce the role of mathematics as beinga catalyst for innovation as well as an overarching resource for indus try and business. The book features an accessible presentation of real-world problems in industry and finance, provides insight and tools for engineers andscientists which will help them to solve similar problems, and offers modeling and simulation techni ques that will provide mathematicians with a source of fresh ideas and inspiration
Contents:Preface
25 Years of ECMI: A View Back to its Childhood
Part I Circuits and Electromagnetic Devices
Part II Environment
Part III Fibers
Part IV Flow
Part V Medicine
Part VI Robotics and Automotive Industry
Part VII Further Applications
Part VIII Methods
Part IX Education
ISBN:9783319053653
Series:eBooks
Series:SpringerLink
Series:Mathematics in Industry, 1612-3956 : v19
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Differential equations, partial , Finance , Computer science Mathematics , Mathematical optimization
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Call number:SPRINGER-2014-9783319028392:ONLINE Show nearby items on shelf
Title:Advances in Numerical Simulation in Physics and Engineering [electronic resource] : Lecture Notes of the XV 'Jacques-Louis Lions' Spanish-French School
Author(s): Carlos Pars
Carlos Vzquez
Frdric Coquel
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book, based on the lecture notes from the XVth Spanish-French School on Numerical Simulation in Physics and Engineering, covers a range of advances in numerical simulation in physics and engineering. The main subjectsaddressed are: biomechanics, stochastic calculus, geophysical flow simulation, and shock-capturing numerical methods for hyperbolic systems of partial differential equations. The book is mainly aimed at young graduate students inmathematics, engineering, and natural sciences who are starting to confront numerical simulation, either at a research level or in the field of industrial applications. It will also be helpful for researchers or even technicians whoare working in an industrial environment and are interested in the state-of-t he-art numerical techniques in these fields. Finally, the book will be useful as a textbook for master's or PhD level courses in mathematics, physics, orengineering
Contents:1 Begona Calvo and Estefania Pena: Fundamental aspects in modeling the constitutive behaviour of the fibered soft tissues
2 Enrique D. Fernandez Nieto: Some remarks on avalanche modeling. An introduction to shallow flow models
3 Emmanuel Gobet: Introduction to stochastic calculus and to the resolution of PDEs using Monte Carlo simulations
4 Philippe G. LeFloch: Structure
preserving shock
capturing methods and applications
5 Carlos Castro: Numerical approximation of optimal design problems in aerodynamics. From the mathematical analysis to industrial codes
6Emanuele Schiavi: Me
ISBN:9783319028392
Series:eBooks
Series:SpringerLink
Series:SEMA SIMAI Springer Series, 2199-3041 : v3
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geology , Computer vision , Differential equations, partial , Computer science Mathematics
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Call number:SPRINGER-2013-9783642309045:ONLINE Show nearby items on shelf
Title:Advances in Network Analysis and its Applications [electronic resource]
Author(s): Evangelos Kranakis
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:As well as highlighting potentially useful applications for network analysis, this volume identifies new targets for mathematical research that promise to provide insights into network systems theory as well as facilitating thecross-fertilization of ideas between sectors. Focusing on financial, security and social aspects of networking, the volume adds to the growing body of evidence showing that network analysis has applications to transportation,communication, health, finance, and social policy mor e broadly. It provides powerful models for understanding the behavior of complex systems that, in turn, will impact numerous cutting-edge sectors in science and engineering, such aswireless communication, network security, distributed computing and social networking, financial analysis, and cyber warfare. The volume offers an insider' s view of cutting-edge research in network systems, including methodologieswith immense potential for interdisciplinary application. The contributors have all presented mate rial at a series of workshops organized on behalf of Canadas MITACS initiative, which funds projects and study grants inmathematics for information technology and complex systems. These proceedings include papers from workshops on financial networks, netw ork security and cryptography, and social networks. MITACS has shown that the partlyghettoized nature of network systems research has led to duplicated work in discrete fields, and thus this initiative has the potential to save time and accelerate the pac e of research in a number of areas of network systemsresearch
Note:Springer eBooks
Contents:FINANCIAL NETWORKS: 1. Mathematical modeling of systemic risk: H. Amini, A. Minca
2. Systemic risk in banking networks without Monte Carlo simulation: J. P. Gleeson, T. R. Hurd, S. Melnik, A. Hackett
3. Systemic Valuation of Banks Interbank Equilibrium and Contagion: G. Haaj
4. An Open Problem: J. B. Walsh
II SECURITY NETWORKS: 5. Dynamic Trust Management: Network Profiling for High Assurance Resilience: M. Burmester , W. O. Redwood
6. Security Issues in Link State Routing Protocols for MANETs: G.Cervera, M.Barbeau, J. Garcia
Alfaro, E.Kranakis
7. TCHo: a Code
bas
ISBN:9783642309045
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics in Industry, 1612-3956 : v18
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Bioinformatics , Computer engineering , Industrial organization (Economic theory)
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Call number:SPRINGER-2013-9783034806152:ONLINE Show nearby items on shelf
Title:Evolution Equations Arising in the Modelling of Life Sciences [electronic resource]
Author(s): Messoud Efendiev
Date:2013
Publisher:Basel : Springer Basel : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book deals with the modeling, analysis and simulation of problems arising in the life sciences, and especially in biological processes. The models and findings presented result from intensive discussions with microbiologists,doctors and medical staff, physicists, chemists and industrial engineers and are based on experimental data. They lead to a new class of degenerate density-dependent nonlinear reaction-diffusion convective equations that simultaneouslycomprise two kinds of degeneracy: porous -medium and fast-diffusion type degeneracy. To date, this class is still not clearly understood in the mathematical literature and thus especially interesting. The author both derivesrealistic life science models and their above-mentioned governing equat ions of the degenerate types and systematically studies these classes of equations. In each concrete case well-posedness, the dependence of solutions on boundaryconditions reflecting some properties of the environment, and the large-time behavior of solut ions are investigated and in some instances also studied numerically
Note:Springer eBooks
Contents:Preface
1 Auxiliary Materials
2 Global attractors for autonomous evolution equations
3 Verifying life science models containing diffusion, transport and interaction of species
4 Positivity criterion for systems of stochastic PDEs
Existence and longtime behaviour of a biofilm model
6 The blood coagulation cascade in a perfusion experiment: example from pharmaceutical industry
Index
ISBN:9783034806152
Series:e-books
Series:SpringerLink (Online service)
Series:International Series of Numerical Mathematics : v163
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biological models , Ecology , Differential equations, partial , Physiology Mathematics
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Call number:SPRINGER-2012-9783642249747:ONLINE Show nearby items on shelf
Title:Optimization for Industrial Problems [electronic resource]
Author(s): Patrick Bangert
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields as a conversation between the theory of mathematics and computer science and casestudies demonstrating e ngineering and management. Most of all, the case studies illustrate what may reasonably be expected from an optimization project in a commercial enterprise. While many other books treat some of the aspects ofthis book, it is practical and may be used as a manual for conducting an optimization project. This book will not make its reader into a mathematician but it will help him to improve his plant. The book requires no mathematical ortechnical background beyond a good high school training all else is addr essed within. It is aimed at managers or engineers of industrial facilities and is also suitable for university students and their professors as an illustrationof how academic material may be used in real life. The book includes 19 case studies that were conducted in real plants. They include chemical plants, fossil power plants, wind power plants, nuclear power plants, oil refineries, oilproduction plants, injection molding fascilities and retail industry shops. All case studies were conducted by the aut hor in cooperation and co-authorship with some of the leading industrial enterprises including RWE, Vattenfall, EDF,PetroChina, Vestolit, Sasol, and Hella
Note:Springer eBooks
Contents:Overview of Heuristic Optimization
Statistical Analysis in Solution Space
Project Management
Pre
processing: Cleaning up Data
Data Mining: Knowledge from Data
Modeling: Neural Networks
Optimization: Simulated Annealing
The Human Aspect in Sustainable Change and Innovation
ISBN:9783642249747
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization
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Call number:SPRINGER-2012-9783642202360:ONLINE Show nearby items on shelf
Title:Analysis for Science, Engineering and Beyond [electronic resource] : The Tribute Workshop in Honour of Gunnar Sparr held in Lund, May 8-9, 2008
Author(s): Kalle strm
Lars-Erik Persson
Sergei D Silvestrov
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book project was initiated at The Tribute Workshop in Honour of Gunnar Sparr and the follow-up workshop Inequalities, Interpolation, Non-commutative Analysis, Non-commutative Geometry and Applications, held at the Centre forMathematical Sciences , Lund University in May and November of 2008. The resulting book is dedicated in celebration of Gunnar Sparr's sixty-fifth anniversary and more than forty years of exceptional service to mathematics and itsapplications in engineering and technology, math ematics and engineering education, as well as interdisciplinary, industrial and international cooperation. This book presents new advances in several areas of mathematics andengineering mathematics including applications in modern technology, engineering and life sciences. Thirteen high-quality chapters put forward many new methods and results, reviews of up to date research and open directions andproblems for future research. A special chapter by Gunnar Sparr and Georg Lindgren contains a historical acc ount and important aspects of engineering mathematics research and education, and the implementation of the highly successfuleducation programme in Engineering Mathematics at Lund Institute of Technology, where not only the mathematical sciences have play ed a role. This book will serve as a source of inspiration for a broad spectrum of researchers andresearch students
Note:Springer eBooks
Contents:1 Gunnar Sparr
the Remarkable Mathematician, Entrepreneur and Ambassador for Mathematics by Lars
Erik Persson
2 The Engineering Mathematics Study Programme in Lund
Background and Implementation by Georg Lindgren and Gunnar Sparr
3 Theory of EdgeDetection by Jan J. Koenderink
4 Shape Modeling by Optimising Description Length Using Gradients and Parameterisation Invariance by Johan Karlsson, Anders Ericsson and Kalle strm
5 On the Bijectivity of Thin
Plate Splines by Anders P. Erikson and Kalle strm
6 Statistical and Knowledge Supported Visualization of Multiv
ISBN:9783642202360
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics, 2190-5614 : v6
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Global analysis (Mathematics) , Engineering mathematics
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Call number:SPRINGER-2012-9781461419273:ONLINE Show nearby items on shelf
Title:Mixed Integer Nonlinear Programming [electronic resource]
Author(s): Jon Lee
Sven Leyffer
Date:2012
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set offeasible and optimal sol utions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discretevariables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers andpractitioners including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers are interested insolving large-scale MINLP instances
Note:Springer eBooks
Contents:Foreword
Preface
Algorithms and software for convex mixed integer nonlinearprograms
Subgradient based outer approximation for mixed integer secondorder cone programming
Perspective reformulation and applications
Generalized disjunctive programming: A framework for formulation and alternative algorithms for MINLP optimization
Disjunctive cuts for nonconvex MINLP
Sequential quadratic programming methods
Using interior
point methods within an outer approximation framework for mixed integer nonlinear programming
Using expression graphs in optimization algorithms
Symmetry i
ISBN:9781461419273
Series:e-books
Series:SpringerLink (Online service)
Series:The IMA Volumes in Mathematics and its Applications, 0940-6573 : v154
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algorithms
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Call number:SPRINGER-2012-9781461405740:ONLINE Show nearby items on shelf
Title:Regression Analysis Under A Priori Parameter Restrictions [electronic resource]
Author(s): Pavel S Knopov
Arnold S Korkhin
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:Construction of various models of objects under uncertainty is one of the most important problems in modern decision making theory. Regression models are some of the most prevalent tools for modeling under uncertainty and arewidely applied in differe nt branches of science such as in industrial research, agriculture, medicine, and business and economics. Regression Analysis Under A Priori Parameter Restrictions will be of interest to a broad spectrum ofreaders in applied mathematics, mathematical stat istics, identification theory, systems analysis, econometrics, finance, optimization, and other scientific disciplines. Requiring a background in algebra, probability theory,mathematical statistics, and mathematical programming, this work may also be a us eful supplement for advanced graduate courses in estimation theory, regression analysis, mathematical statistics, econometrics, mathematical programmingand optimal control, and stochastic optimization. The material contained in this monographsuccessfully combines interesting theoretical results with methods and algorithms for solving practical problems. It focuses on theconstruction of regression models with linear and non-linear constraint inequalities and is the first book in which the theoretical resul ts lying in the background of construction and studying regression models with inequalityconstraints on parameters are presented systematically and solidly. Problems are described and studied in a clear, precise, and rigorous method and include: calculati on of estimates for regression parameters, determination of theirasymptotic properties and accuracy of estimation, point and interval prediction by the regression, parameters of which are estimated under inequality constraints. The authors approach lends itself to numerous applications in variouspractical problems, several of which are discussed in detail
Note:Springer eBooks
ISBN:9781461405740
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v54
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2012-9780817683467:ONLINE Show nearby items on shelf
Title:An Introduction to Continuous-Time Stochastic Processes [electronic resource] Theory, Models, and Applications to Finance, Biology, and Medicine
Author(s): Vincenzo Capasso
David Bakstein
Date:2012
Edition:2nd ed. 2012
Publisher:Boston, MA : Birkhuser Boston : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:From reviewsof First Edition: The book is... an account of fundamental concepts as they appear in relevant modern applications and literature.... The book addresses three main groups: first, mathematicians working in adifferent field second, other sc ientists and professionals from a business or academic background third, graduate or advanced undergraduate students of a quantitative subject related to stochastic theory and/or applications.Zentralblatt MATH This is an introductory text on continuous ti me stochastic processes and their applications to finance and biology. ... The book will be useful for applied mathematicians who are not probabilists to get a quickflavour of the techniques of stochastic calculus, and for professional probabilists to get a quick flavour of the applications. Mathematical Reviews Revised and enhanced, this conciselywritten second edition of An Introduction toContinuous-Time Stochastic Processes is a rigorousand self-contained introduction to the theoryof continuous-time st ochastic processes, stochastic integrals,and stochastic differentialequations. Expertly balancing theory andapplications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and ins urance using stochastic methods. No previous knowledge of stochastic processes isrequired. Key topicsinclude: * Markov processes * Stochastic differential equations * Arbitrage-free markets and financial derivatives * Insurance risk * Population dynamics * Agent-based models New to the Second Edition: * Improvedpresentation of original concepts * Expanded background on probability theory * Substantial material applicable tofinance and biology, including stable laws, Lvy processes, and It-Lvy calculus *Sup plemental appendix toprovidebasic facts on semigroups of linear operators An Introduction to Continuous-Time Stochastic Processes, Second Editionwill be of inte
Note:Springer eBooks
Contents:Part I. The Theory of Stochastic Processes
Fundamentals of Probability
Stochastic Processes
The It Integral
Stochastic Differential Equations
Part II. The Applications of Stochastic Processes
Applications to Finance and Insurance
Applications to Biology and Medicine
Part III. Appendices
Measure and Integration
Convergence of Probability Measures on Metric Spaces
Elliptic and Parabolic Operators
D Semigroups and Linear Operators
E Stability of Ordinary Differential Equations
References
ISBN:9780817683467
Series:e-books
Series:SpringerLink (Online service)
Series:Modeling and Simulation in Science, Engineering and Technology, 2164-3679
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Engineering mathematics
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Call number:SPRINGER-2011-9781461402374:ONLINE Show nearby items on shelf
Title:Introduction to Stochastic Programming [electronic resource]
Author(s): John R Birge
Franois Louveaux
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:The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research,mathematics, and probability. A t the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a firstcourse in stochastic programming suitable for student s with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Itsprime goal is to help students develop an intuition on how to model uncerta inty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems.In this extensively updated new edition there is more material on methods and examples includin g several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter onrelationships to other methods including approximate dynamic programming, robust optimization and online methods. T he book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers andpractitioners in operations research and the optimization area will find it particularly of interest. Review of First Edition: The discussion on modeling issues, the large number of examples used to illustrate the material, and thebreadth of the coverage make'Introduction to Stochastic Programming' an ideal textbook for the area. (Interfaces, 1998)
Note:Springer eBooks
Contents:Introduction and Examples
Uncertainty and Modeling Issues
Basic Properties and Theory
The Value of Information and the Stochastic Solution
Two
Stage Recourse Problems
Multistage Stochastic Programs
Stochastic Integer Programs
Evaluating and Approximating Expectations
Monte Carlo Methods
Multistage Approximations
Sample Distribution Functions
References
ISBN:9781461402374
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 , Mathematical statistics
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Call number:SPRINGER-2010-9780387895529:ONLINE Show nearby items on shelf
Title:Mathematical Optimization and Economic Analysis [electronic resource]
Author(s): Mikuls Luptcik
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:Mathematical Optimization and Economic Analysis is a self-contained introduction to various optimization techniques used in economic modeling and analysis such as geometric, linear, and convex programming and data envelopmentanalysis. Through a syste matic approach, this book demonstrates the usefulness of these mathematical tools in quantitative and qualitative economic analysis. The book presents specific examples to demonstrate each techniquesadvantages and applicability as well as numerous applica tions of these techniques to industrial economics, regulatory economics, trade policy, economic sustainability, production planning, and environmental policy. Key Featuresinclude: - A detailed presentation of both single-objective and multiobjective optim ization - An in-depth exposition of various applied optimization problems - Implementation of optimization tools to improve the accuracy of variouseconomic models - Extensive resources suggested for further reading. This book is intended for graduate and postgraduate students studying quantitative economics, as well as economics researchers and applied mathematicians.Requirements include a basic knowledge of calculus and linear algebra, and a familiarity with economic modeling
Note:Springer eBooks
Contents:Single
Objective Optimization
Scarcity and Efficiency
KuhnTucker Conditions
Convex Programming
Linear Programming
Data Envelopment Analysis
Geometric Programming
Multiobjective Optimization
Fundamentals of Multiobjective Optimization
Multiobjective Linear Programming
Multiobjective Geometric Programming
ISBN:9780387895529
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v36
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Economics , Economics, Mathematical
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Call number:SPRINGER-2009-9780817648046:ONLINE Show nearby items on shelf
Title:Data Modeling for Metrology and Testing in Measurement Science [electronic resource]
Author(s): Franco Pavese
Alistair B Forbes
Date:2009
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having abroad range of real- world applications in measurement science. Mainstream methods of data modeling and analysis typically rely on certain assumptions that do not hold for many practical applications. Developed in this work are methodsand computational tools to address genera l models that arise in practice, allowing for a more valid treatment of calibration and test data and providing a deeper understanding of complex situations in measurement science. Additionalfeatures and topics of the book include: * Introduction to model ing principles in metrology and testing * Presentation of a basic probability framework in metrology and statistical approaches to uncertainty assessment * Discussion ofthe latest developments in data analysis using least squares, Fast Fourier Transform, wavelets, and fuzzy logic methods * Data fusion using neural networks, fuzzy methods, decision making, and risk analysis * A computer-assisted,rigorous approach to data evaluation and analysis of measurement software validity * Introduction to virtual ins truments, and an overview of IT tools for measurement science Data Modeling for Metrology and Testing in MeasurementScience may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists,mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science
Note:Springer eBooks
Contents:Preface
List of Contributors
An Introduction to Data Modelling Principles in Metrology and Testing
Probability in Metrology
Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty
Interval Computations and Interval
Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements
Parameter Estimation Based on Least Squares Methods
Frequency and TimeFrequency Domain Analysis Tools in Measurement
Data Fusion, Decision
Making, and Risk Analysis: Mathematical Tools and Techniq
ISBN:9780817648046
Series:e-books
Series:SpringerLink (Online service)
Series:Modeling and Simulation in Science, Engineering and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Distribution (Probability theory) , Mathematical statistics , Statistics , Industrial engineering
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Call number:SPRINGER-2009-9780387894942:ONLINE Show nearby items on shelf
Title:Analysis and Design of Discrete Part Production Lines [electronic resource]
Author(s): Diomidis Spinellis
Michael J Vidalis
Michael E. J O'Kelly
Chrissoleon T Papadopoulos
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:Analysis and Design of Discrete Part Production Lines provides a complete overview of production systems, investigating several production line problems, and describing the best approaches to the analysis of production lineperformance. Written by exp erts in the field of production and manufacturing research, this book also presents numerous techniques that can be used to describe and model various types of production lines. Special Features: * Includesaccess to a supplementary web-based software pack age, providing algorithms and examples, developed by distinguished experts of the field. * Describes new results for evaluative techniques and design algorithms as well as several openproblems in production line optimization. * Presents in detail the theo ry and techniques that underlie production system management, design, and analysis, allowing the book to serve as an excellent introduction to newcomers in thefield. * Has potential for use in a graduate level course in industrial or manufacturing enginee ring, or in a business course with a manufacturing focus. * Contains appendices providing an overview of several mathematical techniquesemployed to design and evaluate production line models. This book is intended for researchers, production managers, and graduate students in industrial, mechanical, and systems engineering. Using the resources presented, consultants,engineers, and researchers will be able to design, evaluate, determine the behavior, and optimize the performance of both new and existing pr oduction lines
Note:Springer eBooks
Contents:Manufacturing Systems: Types and Modeling
Evaluative Models of Discrete Part Production Lines
The Design of Production Lines
Work
Load and Server Allocation Problems
The Buffer Allocation Problem
Double and Triple Optimization
Cost Considerations
ISBN:9780387894942
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v31
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Engineering design , Industrial engineering
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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-2009-9780387786919:ONLINE Show nearby items on shelf
Title:Device and Materials Modeling in PEM Fuel Cells [electronic resource]
Author(s): Stephen J Paddison
Keith S Promislow
Date:2009
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:Device and Materials Modeling in PEM Fuel Cells is a specialized text that compiles the mathematical details and results of both device and materials modeling in a single volume. Proton exchange membrane (PEM) fuel cells willlikely have an impact on our way of life similar to the integrated circuit. The potential applications range from the micron scale to large scale industrial production. Successful integration of PEM fuel cells into the mass market willrequire new materials and a deeper understand ing of the balance required to maintain various operational states. This book contains articles from scientists who contribute to fuel cell models from both the materials and deviceperspectives. Topics such as catalyst layer performance and operation, rea ctor dynamics, macroscopic transport, and analytical models are covered under device modeling. Materials modeling include subjects relating to the membrane andthe catalyst such as proton conduction, atomistic structural modeling, quantum molecular dynamic s, and molecular-level modeling of the anode and cathode electrocatalysts. Device and Materials Modeling in PEM Fuel Cells is ideal forprofessionals and researchers working with fuel cells, as well as electrical engineers and graduate students performing computational materials research, applied mathematics, and molecular physics
Note:Springer eBooks
Contents:Part I: Device Modeling: Modeling of PEMFC Catalyst Layer Performance and Degradation
Catalyst Layer Operation in PEM Fuel Cells: From Structural Pictures to Tractable Models
Reactor Dynamics of PEM Fuel Cells
Coupled Proton and Water Transport in Polymer Electrolyte Membranes
A Combination Model for Macroscopic Transport in Polymer
Electrolyte Membranes
Analytical models of a polymer electrolyte fuel cell
Phase change and Hysteresis in PEMFCs
Modeling of two
phase flow and catalytic reaction kinetics for DMFCs
Thermal and Electrical Coupling in Stacks
Part II: Mater
ISBN:9780387786919
Series:e-books
Series:SpringerLink (Online service)
Series:Topics in Applied Physics, 0303-4216 : v113
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Chemistry, Physical organic , Production of electric energy or power
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Call number:SPRINGER-2009-9780387096537:ONLINE Show nearby items on shelf
Title:Nonsmooth Dynamics of Contacting Thermoelastic Bodies [electronic resource]
Author(s): Yuriy Pyr'yev
Jan Awrejcewicz
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:This work is devoted to an intensive study in contact mechanics, treating the nonsmooth dynamics of contacting bodies. Mathematical modeling is illustrated and discussed in numerous examples of engineering objects working indifferent kinematic and dy namic environments. Topics covered in five self-contained chapters examine non-steady dynamic phenomena which are determined by key factors: i.e., heat conduction, thermal stresses, and the amount of wearing.New to this monograph is the importance of the inertia factor, which is considered on par with thermal stresses. Principal features: * Unique monograph to address the topic of dynamic contact problems in thermoelasticity, which takeinto account inertial effects and influence of thermoelastic coupling for models of solids in contact * Mathematical modeling methods are illustrated and applied to practical engineering problems: e.g., for improving the reliabilityand durability of machines and mechanisms under friction, heat, and amount of wear in contact * Presents solutions that describe many interesting nonlinear effects Nonsmooth Dynamics of Contacting Thermoelastic Bodies is an engagingaccessible practical reference for engineers (civil, mechanical, industrial) and researchers in theoretical and appl ied mechanics, applied mathematics, physicists, and graduate students
Note:Springer eBooks
Contents:Preface
Nomenclature
1. Introduction
2. Thermoelastic Contact of Shaft and Bush in Wear Regime
3. Thermoelastic Contact of Parallelepiped Moving Along Walls
4. Contact Characteristics During Braking Process
5. Thermoelastic Contact of Two Moving Layers with Friction and Wear
Bibiography
Index
ISBN:9780387096537
Series:e-books
Series:SpringerLink (Online service)
Series:Advances in Mechanics and Mathematics, 1571-8689 : v16
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differentiable dynamical systems , Numerical analysis , Mechanics , Mechanics, applied
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Call number:SPRINGER-2008-9783540772033:ONLINE Show nearby items on shelf
Title:Mathematics Key Technology for the Future [electronic resource] : Joint Projects Between Universities and Industry 20042007
Author(s): Hans-Joachim Krebs
Willi Jger
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is about the results of a number of projects funded by the BMBF in the initiative Mathematics for Innovations in Industry and Services. It shows that a broad spectrum of analytical and numerical mathematicalmethods and programming technique s are used to solve a lot of different specific industrial or services problems. The main focus is on the fact that the mathematics used is not usually standard mathematics or black box mathematics butis specifically developed for specific industrial or s ervices problems. Mathematics is more than a tool box or an ancilarry science for other scientific disciplines or users. Through this book the reader will gain insight into thedetails of mathematical modeling and numerical simulation for a lot of industri al applications
Note:Springer eBooks
ISBN:9783540772033
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Chemistry Mathematics , Computer vision , Computer science , Visualization , Statistics , Engineering mathematics
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Call number:SPRINGER-2008-9783540719922:ONLINE Show nearby items on shelf
Title:Progress in Industrial Mathematics at ECMI 2006 [electronic resource]
Author(s): Luis L Bonilla
Miguel Moscoso
Gloria Platero
Jose M Vega
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:ECMI is synonymous with European Mathematics for Industry and organizes successful biannual conferences. The 14th European Conference for Mathematics in Industry held in Legans (Madrid) focused on Aerospace, Information andCommunications, Materials, Energy and Environment, Imaging, Biology and Biotechnology, Life Sciences, Finances and other topics including Education in Industrial Mathematics and web learning. Attendees came from all over the world.Overall, these proceedings give a lively overview o f the importance of mathematical modeling, analysis and numerical methods when addressing and solving problems from todays real world applications. The accessible presentation ofreal problems from industry and finance, modeling, solutions via appropriate numerical and mathematical techniques are a source of fresh ideas and inspiration for mathematicians. Engineers and scientists in application fields may finduseful ideas and techniques presented in familiar contexts that may help them to solve related pro blems in industry. Educators may find discussions of novel teaching experiences and examples from industrial contexts that could beuseful devising curricula which include industrial mathematics and web learning
Note:Springer eBooks
Contents:Plenary Lectures
Minisymposia
Contributed Papers
ISBN:9783540719922
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics in Industry, The European Consortium for Mathematics in Industry, 1612-3956 : v12
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential equations, partial , Computer science Mathematics , Computer science , Numerical analysis , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2008-9780817647254:ONLINE Show nearby items on shelf
Title:An Introduction to Queueing Theory [electronic resource] Modeling and Analysis in Applications
Author(s): U. Narayan Bhat
Date:2008
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with theanalysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such ascomputer science, operations research, and e ngineering. Key features: * An introductory chapter including a historical account of the growth of queueing theory in the last 100 years. * A modeling-based approach with emphasis onidentification of models using topics such as collection of data and tes ts for stationarity and independence of observations. * Rigorous treatment of the foundations of basic models commonly used in applications with appropriatereferences for advanced topics. * A chapter on modeling and analysis using computational tools. * A comprehensive treatment of statistical inference for queueing systems. * A discussion of operational and decision problems. * Modelingexercises as a motivational tool, and review exercises covering background material on statistical distributions. An Int roduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computerscience, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineeri ng. Upper-level undergraduate students in mathematics, statistics, and engineering may alsouse the book in an elective introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literatu re, the work may also be useful to applied scientists and practitionersas a self-study reference for applications and further research
Note:Springer eBooks
Contents:Preface
Introduction
System Element Models
Basic Concepts in Stochastic Processes
Simple Markovian Queueing Systems
Imbedded Markov Chain Models
Extended Markov Models
Queueing Networks
Renewal Process Models
The General Queue G/G/1 and Approximations
Statistical Inference for Queueing Models
Decision Problems in Queueing Theory
Modeling and Analysis Using Computational Tools
Appendix A. Poisson Process: Properties and Related Distributions
Appendix B. Markov Process
Appendix C. Results from Mathematics
References
Index
ISBN:9780817647254
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Industry and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Operations research , Distribution (Probability theory) , Mathematical statistics , Industrial engineering
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Call number:SPRINGER-2007-9780387681672:ONLINE Show nearby items on shelf
Title:Numerical Techniques for Chemical and Biological Engineers Using MATLAB [electronic resource] : A Simple Bifurcation Approach
Author(s): Said S. E. H Elnashaie
Frank Uhlig
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:This is a textbook for undergraduate students of chemical and biological engineering. It is also useful for graduate students, professional engineers and numerical analysts. All reactive chemical and biological processes arehighly nonlinear allowing for multiple steady states. This book addresses the bifurcation characteristics of chemical and biological processes as the general case and treats systems with a unique steady state as special cases. It usesa system approach which is the most efficient f or knowledge organization and transfer. The book develops mathematical models for many commercial processes utilizing the mass-, momentum-, and heat-balance equations coupled to the ratesof the processes that take place within the boundaries of the system . The models are solved numerically through MATLAB codes with emphasis on the design and optimization of the chemical and biological industrial equipment and plants,such as single and batteries of CSTRs, porous and nonporous catalyst pellets and their eff ectiveness factors, tubular catalytic and noncatalytic reactors, fluidized bed catalytic reactors, coupled fluidized beds such asreactor-regenerator systems (industrial fluid catalytic cracking units), fluidized bed reformers for producing hydrogen or syn gas, fermenters for fuel ethanol, simulation of the brain acetylcholine neurocycle, anaerobic digesters, co-and countercurrent absorption columns, and many more. The book also includes verification against industrial data. The algorithms include solving t ranscendental and algebraic equations, with and without bifurcation as well as initialand boundary value ordinary differential equations. Said Elnashaie is Professor of Chemical and Biological Engineering at the University of British Columbia. Frank Uhlig is Professor of Mathematics at Auburn University. Chadia Affaneis a Ph.D. candidate in Applied Mathematics at Auburn with a B.S. in Chemical Engineering
Note:Springer eBooks
Contents:Introduction
Computations and MATLAB
Modeling, Simulation and Design
Some Models with Scalar Equations
Initial Value Problems
Boundary Value Problems
Heterogeneous and Multistage Systems
Industrial Problems
Appendix 1: Linear Algebra and Matrices
Appendix 2: Bifurcation, Instability and Chaos in Chemical and Biological Systems
Appendix 3: Contents of the CD and How to Use it
Resources
Epilogue
Index
List of Photographs
ISBN:9780387681672
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biochemical engineering , Chemical engineering , Computer science Mathematics , Computer science
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Call number:SPRINGER-2007-9780387377353:ONLINE Show nearby items on shelf
Title:Principles of Mathematics in Operations Research [electronic resource]
Author(s): Levent Kandiller
Date:2007
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. Its purpose is to provide students and professionals with an understanding of thefundamental mathematica l principles used in Industrial Mathematics/OR in modeling problems and application solutions. All the concepts presented in each chapter have undergone the learning scrutiny of the author and his students. Theconceptual relationships within the chapter m aterial have been developed in the classroom experience working with the students' level of understanding. The illustrative material throughout the book (i.e., worked-out problems andexamples of the mathematical principles) was refined for student compreh ension as the manuscript developed through its iterations, and the chapter exercises are refined from the previous year's exercises. In sum, the author hascarefully developed a pedagogically strong survey textbook of OR and Industrial Mathematics
Note:Springer eBooks
Contents:Preliminary Linear Algebra
Orthogonality
Eigen Values and Vectors
Positive Definiteness
Computational Aspects
Convex Sets
Linear Programming
Number Systems
Basic Topology
Continuity
Differentiation
Power Series and Special Functions
Special Transformations
ISBN:9780387377353
Series:e-books
Series:SpringerLink (Online service)
Series:International Series in Operations Research & Management Science, 0884-8289 : v97
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Mathematical optimization , Economics
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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-2005-9783540288473:ONLINE Show nearby items on shelf
Title:Neural Networks [electronic resource] : Methodology and Applications
Author(s): G Dreyfus
Date:2005
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer whowants make the best use o f the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provideengineers and researchers with clear methodologi es for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gaindeeper knowledge of the topics, the book features appendices that pro vide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts andsseemlessly edited to present a coherent and comprehensive, yet not redundant, practically-ori ented introduction
Note:Springer eBooks
Contents:Neural Networks: An Overview
Modeling with Neural Networks: Principles and Model Design Methodology
Modeling Metholodgy: Dimension Reduction and Resampling Methods
Neural Identification of Controlled Dynamical Systems and Recurrent Networks
Closed
Loop Control Learning
Discrimination
Self
Organizing Maps and Unsupervised Classification
Neural Networks without Training for Optimization
ISBN:9783540288473
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Artificial intelligence , Mathematics , Mathematical physics , Engineering , Telecommunication
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Call number:SPRINGER-2005-9780817644284:ONLINE Show nearby items on shelf
Title:An Introduction to Continuous-Time Stochastic Processes [electronic resource] Theory, Models, and Applications to Finance, Biology, and Medicine
Author(s): Vincenzo Capasso
David Bakstein
Date:2005
Publisher:Boston, MA : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-worldproblems from biology, me dicine, industrial applications, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required. Key topics covered include: * Interacting particles and agent-basedmodels: from polymers to ants * Population dyna mics: from birth and death processes to epidemics * Financial market models: the non-arbitrage principle * Contingent claim valuation models: the risk-neutral valuation theory * Riskanalysis in insurance An Introduction to Continuous-Time Stochastic Proce sses will be of interest to a broad audience of students, pure and applied mathematicians, and researchers or practitioners in mathematical finance,biomathematics, biotechnology, and engineering. Suitable as a textbook for graduate or advanced undergradua te courses, the work may also be used for self-study or as a reference. Prerequisites include knowledge of calculus and someanalysis exposure to probability would be helpful but not required since the necessary fundamentals of measure and integration are provided
Note:Springer eBooks
Contents:Preface
Part I: The Theory of Stochastic Processes
Fundamentals of Probability
Stochastic Processes
The Ito Integral
Stochastic Differential Equations
Part II: The Applications of Stochastic Processes
Applications to Finance and Insurance
Applications to Biology and Medicine
Part III: Appendices
A. Measure and Integration
B. Convergence of Probability Measures on Metric Spaces
C. Maximum Principles of Elliptic and Parabolic Operators
D. Stability of Ordinary Differential Equations
References
ISBN:9780817644284
Series:e-books
Series:SpringerLink (Online service)
Series:Modeling and Simulation in Science, Engineering and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biology Mathematics , Finance , Distribution (Probability theory) , Engineering mathematics
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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-2004-9789401704274:ONLINE Show nearby items on shelf
Title:A Celebration of Mathematical Modeling The Joseph B. Keller Anniversary Volume
Author(s):
Date:2004
Size:1 online resource (241 p.)
Note:10.1007/978-94-017-0427-4
Contents:Monte Carlo Simulation for American Options -- Some Problems in Electromagnetics -- Pattern Formation in a Suspension of Swimming Microorganisms: Nonlinear Aspects -- Non-Reflecting Boundaries: High-Order Treatment -- Nonreflecting
Boundary Conditions for Time Dependent Waves -- Weak Shock Reflection -- Bifurcation Theory, Symmetry Breaking and Homogenization in Continuum Mechanics Descriptions of DNA -- On Flames as Discontinuity Surfaces in Gasdynamic Flows --
Contact Lines -- Eikonal Functions: Old and New -- Physical Insight, Mathematical Modeling and Asymptotics -- Waves, Bubbles and Jets
ISBN:9789401704274
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Mathematical models , Biomathematics , Physics , Mathematics , Mathematical Modeling and Industrial Mathematics , Theoretical, Mathematical and Computational Physics , Applications of Mathematics , Mathematical and Computational Biology
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Call number:SPRINGER-2004-9783662101766:ONLINE Show nearby items on shelf
Title:Symbolic Asymptotics
Author(s): John R Shackell
Date:2004
Size:1 online resource (243 p.)
Note:10.1007/978-3-662-10176-6
Contents:Zero Equivalence -- Hardy Fields -- Output Data Structures -- Algorithms for Function Towers -- Algebraic Differential Equations -- Inverse Functions -- Implicit Functions -- Star-Product Expansions -- Oscillating Functions --
References
ISBN:9783662101766
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Algorithms and Computation in Mathematics: 12
Keywords: Mathematics , Computer science , Mathematical analysis , Analysis (Mathematics) , Approximation theory , Algorithms , Mathematical models , Mathematics , Mathematical Modeling and Industrial Mathematics , Algorithms , Analysis , Symbolic and Algebraic Manipulation , Mathematics of Computing , Approximations and Expansions
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Call number:SPRINGER-2004-9783662097755:ONLINE Show nearby items on shelf
Title:Robust Control Systems Theory and Case Studies
Author(s): Uwe Mackenroth
Date:2004
Size:1 online resource (520 p.)
Note:10.1007/978-3-662-09775-5
Contents:1 Introduction -- 2 Rational Transfer Functions -- 3 SISO Feedback Systems -- 4 Classical Design Methods -- 5 Linear Dynamical Systems -- 6 Basic Properties of Multivariable Feedback Systems -- 7 Norms of Systems and Performance -- 8
H2 Optimal Control -- 9 H? Optimal Control: Riccati-Approach -- 10 H? Optimal Control: LMI-Approach and Applications -- 11 Case Studies for H2 and H? Optimal Control . -- 12 Representation of Uncertainty -- 13 Synthesis of Robust
Controllers -- 14 Case Studies for Robust Control -- A Mathematical Background -- Notation and Symbols
ISBN:9783662097755
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , System theory , Computer mathematics , Mathematical models , Control engineering , Robotics , Mechatronics , Mathematics , Mathematical Modeling and Industrial Mathematics , Computational Mathematics and Numerical Analysis , Control , Control, Robotics, Mechatronics , Systems Theory, Control
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Call number:SPRINGER-2004-9783662095102:ONLINE Show nearby items on shelf
Title:Progress in Industrial Mathematics at ECMI 2002
Author(s):
Date:2004
Size:1 online resource (409 p.)
Note:10.1007/978-3-662-09510-2
Contents:Mathematical Modeling is a Source of Novel Mathematical Problems -- Parameter Identification in Industrial Problems via Iterative Regularization Methods -- Mathematics of Enhanced Oil Recovery -- Business Modelling. Languages and
Tools -- Modelling Tumour Growth and Progression -- Interaction of Viscous Mean Flows and Surface Waves at Low Viscosity -- Modified FEM for Fibre-Fluid Interactions -- Numerical Investigation of the Geometrical Factor for Simulating
the Drying of Wood -- Phase Plane Analysis of Web Drying -- Parameters Identification for Wood Drying -- Numerical Methods in the Simulation of Vehicle-Guideway Interaction -- Parameter Optimization in Mechanical Multibody Systems and
Linearized Runge-Kutta Methods -- Using AD-generated Derivatives in Optimal Control of an Industrial Robot -- Applications to Traffic Breakdown on Highways -- Runge-Kutta-Nyström-Methods with Maximized Stability Domain for Stiff
Mechanical Systems -- Free Boundary Problems Describing Two-Dimensional Pulse Recycling and Motion in Semiconductors -- Mobility for Silicon Semiconductor Derived from the Hydrodynamical Model Based on the Maximum Entropy Principle --
Random Domain-Relocation Times in Semiconductor Superlattices: A Stochastic Discrete Drift-Diffusion Approach -- A Priori Estimates for Multiphysics Models in Electric Circuit Design -- Preconditioned Splitting in Dynamic Iteration
Schemes for Coupled DAE Systems in RC Network Design -- Augmented Lagrangian Algorithm for Optimizing Analog Circuit Design -- Simulating Multi-tone Free-running Oscillators with Optimal Sweep Following -- Jacobi-Davidson Methods and
Preconditioning with Applications in Pole-zero Analysis -- Development and Comparison of Formulas for Scaling ANN Inputs and Outputs in RF-Modeling Applications -- Reduced Order Modelling — Methods and Constraints -- Ghost Field
Gauging Used in Electrodynamic Simulation -- Option Pricing Using Stochastic Volatility Models -- Mathematical Model for Gravitational Cascade Separation of Pourable Materials at Identical Stages of a Classifier -- Parallel Iterative
Solvers for Sparse Linear Systems in Circuit Simulation -- Conservative Averaging Method for Solutions of Inverse Problems for Heat Equation -- Creation of Temperature Field in a Finite Cylinder by Alternated Electromagnetic Force -- A
Finite Element Method for Parabolic Equations -- Reduction of a Mathematical Model for Polymer Crystallization -- Asymptotic and Numerical Aspects of a Nonlinear Singular Integro-Differential Equation for Dryout in a LMFBR Boiler Tube
-- Geostatistics: An Overview of Estimation and Simulation Methods for Oil Reservoirs and Basin Modelling -- Global Uncertainty and Sensitivity Analysis and Neighbourhoods -- A Mathematical Model for Tonometry -- Modelling Capillary
Pressure in a Streamline Reservoir Simulator Using Operator Splitting -- Electromagnetic Simulations in the Electronics Industry -- Reduction of a Non—Linear Parabolic Initial—Boundary Value Problem to Cauchy Problem for a System of
ODEs -- Recent Applications of Multipole Expansions in Computational Electromagnetics -- Examples of Asymptotical Analysis of Hyperbolic Equations -- Monte Carlo Valuation of American Options -- On the Frame — Invariant Description of
the Phase Space of the Folgar—Tucker Equation -- Simulating Bass Loudspeakers Requires Nonlinear Acoustics — a Second Order Correction to the Helmholtz Equation -- A Mathematical Model for Hammocking of a Bandage on a Limb --
Probabilistic Analysis of DAX High Frequency Data -- Optimal and Robust Damping Control for Semi-Active Vehicle Suspension -- A Fast Finite Difference Method for Elliptic PDEs in Domains with Non-Grid Aligned Boundaries with
Application to 3D Linear Elasticity -- Analysis of a Model for Twin-Wire Forming -- Coherent Dynamics of Excitable and Coupled ?-Cells -- A Mathematical Model of the Cardiovascular System -- Mathematical Modelling of the Drawing of
Spun Capillary Tubes -- Mathematical Modelling of CO-oxidation on Modified Pt-Catalyst -- Mathematical Models for Impinging Jets -- Relations Between the Motion-Responses Caused by Fixed and Moving Loads Acting on Discretely Supported
Strings and Beams
ISBN:9783662095102
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:The European Consortium for Mathematics in Industry: 5
Keywords: Mathematics , Chemometrics , Applied mathematics , Engineering mathematics , Economics, Mathematical , Computer mathematics , Mathematical optimization , Mathematics , Applications of Mathematics , Computational Mathematics and Numerical Analysis , Optimization , Math. Applications in Chemistry , Appl.Mathematics/Computational Methods of Engineering , Quantitative Finance
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Call number:SPRINGER-2004-9783662050866:ONLINE Show nearby items on shelf
Title:Topology Optimization Theory, Methods, and Applications
Author(s): Martin P Bendsøe
Date:2004
Edition:Second Edition, Corrected Printing
Size:1 online resource (370 p.)
Note:10.1007/978-3-662-05086-6
Contents:1 Topology optimization by distribution of isotropic material -- 2 Extensions and applications -- 3 Design with anisotropic materials -- 4 Topology design of truss structures -- 5 Appendices -- 6 Bibliographical notes -- References --
Author Index
ISBN:9783662050866
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical models , Mathematical optimization , Topology , Structural mechanics , Mechanical engineering , Engineering design , Mathematics , Mathematical Modeling and Industrial Mathematics , Mechanical Engineering , Topology , Structural Mechanics , Engineering Design , Optimization
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Call number:SPRINGER-2004-9783642187568:ONLINE Show nearby items on shelf
Title:Multiscale Modelling and Simulation
Author(s):
Date:2004
Size:1 online resource (141 p.)
Note:10.1007/978-3-642-18756-8
Contents:I Mathematical Methods -- Some Recent Progress in Multiscale Modeling -- Homogenization Method for Transport of DNA Particles in Heterogeneous Arrays -- Metastability, conformation dynamics, and transition pathways in complex systems
-- Nonlinear Dynamics Analysis through Molecular Dynamics Simulations -- Exploration of coarse free energy surfaces templated on continuum numerical methods -- Damping factors for the gap-tooth scheme -- II Materials Science --
Multiscale Aspects of Polymer Simulations -- Polymers near a Surface: An ab initio Density Functional based Multiscale Modeling Approach -- Dual Resolution Molecular Simulation of Bisphenol-A Polycarbonate Adsorption onto Nickel (111):
Chain Length Effects -- Stress and energy flow field near a rapidly propagating mode I crack -- A Peierls Criterion for Deformation Twinning at a Mode II Crack -- III Physics/Chemistry/Fluid Dynamics/Biology -- Simulation of Transport
in Partially Miscible Binary Fluids: Combination of Semigrandcanonical Monte Carlo and Molecular Dynamics Methods -- Computer simulations of SiO2 and GeO2 -- Large Scale Density Functional Calculations -- Dispersion corrected density
functionals applied to the water naphthalene cluster -- Flow of Aqueous Solutions in Carbon Nanotubes -- Continuum-particle hybrid methods for dense fluids -- Dissipative Particle Dynamics for Modeling Complex Fluidics -- Population
balance modeling of synthesis of nanoparticles in aerosol flame reactors -- Modelling gene expression using stochastic simulation -- Color Plates
ISBN:9783642187568
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Computational Science and Engineering: 39
Keywords: Mathematics , Chemometrics , Computer mathematics , Mathematical models , Applied mathematics , Engineering mathematics , Mathematics , Mathematical Modeling and Industrial Mathematics , Computational Mathematics and Numerical Analysis , Appl.Mathematics/Computational Methods of Engineering , Math. Applications in Chemistry
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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