Numerical methods for solving discrete event systems, Grassmann, Winfried Tavakoli, Javad

Автор: Train Kenneth E
Название: Discrete Choice Methods with Simulation
ISBN: 0521747384 ISBN-13(EAN): 9780521747387
Издательство: Cambridge Academ
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Цена: 49630.00 T
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Описание: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Each of the major models is covered including logit, generalized extreme value, or GEV, probit, and mixed logit, plus a variety of specifications that build on these basics.

Автор: Mohit Kumar Sharma, Suresh Chandra
Название: Numerical Methods and Data Analysis
ISBN: 9386768518 ISBN-13(EAN): 9789386768513
Издательство: Mare Nostrum (Eurospan)
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Цена: 29260.00 T
Наличие на складе: Невозможна поставка.
Описание: Discusses numerical techniques: interpolation, differentiation, integration, roots of equation, simultaneous linear equations, eigenvalues and eigenvectors, differential equations, partial differential equations, random numbers, statistical parameters, and the error analysis.

Автор: Ming-Jun Lai, Yang Wang
Название: Sparse Solutions of Underdetermined Linear Systems
ISBN: 1611976502 ISBN-13(EAN): 9781611976502
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
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Описание: This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.

Автор: Bates
Название: Numerically Solving Polynomial Systems with Bertini
ISBN: 1611972698 ISBN-13(EAN): 9781611972696
Издательство: Mare Nostrum (Eurospan)
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Цена: 100710.00 T
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Описание: This book is a guide to concepts and practice in numerical algebraic geometry - the solution of systems of polynomial equations by numerical methods. Through numerous examples, the authors show how to apply the well-received and widely used open-source Bertini software package to compute solutions, including a detailed manual on syntax and usage options. The authors also maintain a complementary web page where readers can find supplementary materials and Bertini input files.Numerically Solving Polynomial Systems with Bertini approaches numerical algebraic geometry from a user's point of view with numerous examples of how Bertini is applicable to polynomial systems. It treats the fundamental task of solving a given polynomial system and describes the latest advances in the field, including algorithms for intersecting and projecting algebraic sets, methods for treating singular sets, the nascent field of real numerical algebraic geometry, and applications to large polynomial systems arising from differential equations.Those who wish to solve polynomial systems can start gently by finding isolated solutions to small systems, advance rapidly to using algorithms for finding positive-dimensional solution sets (curves, surfaces, etc.), and learn how to use parallel computers on large problems. These techniques are of interest to engineers and scientists in fields where polynomial equations arise, including robotics, control theory, economics, physics, numerical PDEs, and computational chemistry.

Автор: Ciaramella, Gabriele Gander, Martin J.
Название: Iterative methods and preconditioners for systems of linear equations
ISBN: 1611976898 ISBN-13(EAN): 9781611976892
Издательство: Mare Nostrum (Eurospan)
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Цена: 66050.00 T
Наличие на складе: Поставка под заказ.
Описание: Iterative methods use successive approximations to obtain more accurate solutions. Iterative Methods and Preconditioners for Systems of Linear Equationspresents historical background,derives complete convergence estimates for all methods, illustrates and provides Matlab codes for all methods, and studies and tests all preconditioners first as stationary iterative solvers.This textbook is appropriate for undergraduate and graduate students in need of an overview or of deeper knowledge about iterative methods. It can be used in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. Scientists and engineers interested in new topics and applications will also find the text useful.

Автор: Stuart G. Whittington
Название: Numerical Methods for Polymeric Systems
ISBN: 1461272491 ISBN-13(EAN): 9781461272496
Издательство: Springer
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Цена: 46570.00 T
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Описание: An important feature of the book is the treatment of Monte Carlo methods, including umbrella sampling and multiple Markov chain methods, which are useful for strongly interacting systems such as polymers at low temperatures and in compact phases.

Автор: Guy Cohen; Jean-Pierre Quadrat
Название: 11th International Conference on Analysis and Optimization of Systems: Discrete Event Systems
ISBN: 3540198962 ISBN-13(EAN): 9783540198963
Издательство: Springer
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Цена: 81050.00 T
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Описание: The conference, coorganized by INRIA and Ecole des Mines de Paris, focuses on Discrete Event Systems (DES) and is aimed at engineers, scientists and mathematicians working in the fields of Automatic Control, Operations Research and Statistics who are interested in the modelling, analysis and optimization of DES.

Автор: Jerzy Tyszer
Название: Object-Oriented Computer Simulation of Discrete-Event Systems
ISBN: 1461372879 ISBN-13(EAN): 9781461372875
Издательство: Springer
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Цена: 214280.00 T
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Описание: Object-Oriented Computer Simulation of Discrete-Event Systems offers a comprehensive presentation of a wide repertoire of computer simulation techniques available to the modelers of dynamic systems.

Автор: Vasile Dragan; Toader Morozan; Adrian-Mihail Stoic
Название: Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
ISBN: 1441906290 ISBN-13(EAN): 9781441906298
Издательство: Springer
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Цена: 135090.00 T
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Описание: This book provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps. These subjects are typically covered independently.

Автор: Shen Wen
Название: Introduction To Numerical Computation, An
ISBN: 9814730068 ISBN-13(EAN): 9789814730068
Издательство: World Scientific Publishing
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Цена: 53850.00 T
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Описание: Developed during ten years of teaching experience, this book serves as a set of lecture notes for an introductory course on numerical computation, at the senior undergraduate level.

Автор: Temme Nico M
Название: Asymptotic Methods For Integrals
ISBN: 9814612154 ISBN-13(EAN): 9789814612159
Издательство: World Scientific Publishing
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Цена: 211200.00 T
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Описание:

This book gives introductory chapters on the classical basic and standard methods for asymptotic analysis, such as Watson's lemma, Laplace's method, the saddle point and steepest descent methods, stationary phase and Darboux's method. The methods, explained in great detail, will obtain asymptotic approximations of the well-known special functions of mathematical physics and probability theory. After these introductory chapters, the methods of uniform asymptotic analysis are described in which several parameters have influence on typical phenomena: turning points and transition points, coinciding saddle and singularities. In all these examples, the special functions are indicated that describe the peculiar behavior of the integrals.

The text extensively covers the classical methods with an emphasis on how to obtain expansions, and how to use the results for numerical methods, in particular for approximating special functions. In this way, we work with a computational mind: how can we use certain expansions in numerical analysis and in computer programs, how can we compute coefficients, and so on.

Автор: Muсoz-Ruiz Marнa Luz, Parйs Carlos, Russo Giovanni
Название: Recent Advances in Numerical Methods for Hyperbolic Pde Systems: Numhyp 2019
ISBN: 3030728498 ISBN-13(EAN): 9783030728496
Издательство: Springer
Цена: 139750.00 T
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Описание: Part I: Numerical methods for general problems.- 1 J.M. Gallardo et al., Incomplete Riemann solvers based on functional approximations to the absolute value function.- 2 M. Frank et al., Entropy-based methods for uncertainty quantification of hyperbolic conservation laws.- 3 I. Gomez Bueno et al., Well-balanced reconstruction operator for systems of balance laws: numerical implementation.- 4 V. Michel-Dansac and A. Thomann, On high-precision L?-stable IMEX schemes for scalar hyperbolic multi-scale Equations.- Part II: Numerical methods for speci_c problems.- 5 D. Grapsas et al., A staggered preassure correction numerical scheme to compute a travellimg reactive interface in a partially premixed mixture.- 6 M. Lukacova et al., New Invariant Domain Preserving Finite Volume Schemes for Compressible Flows.- 7 S. Jцns et al., Recent Advances and Complex Applications of the Compressible Ghost-Fluid Method.- 8 J. P. Berberich and C. Klingenberg, Entropy Stable Numerical Fluxes for Compressible Euler Equations which are Suitable for All Mach Numbers.- 9 P. Poullet et al., Residual based method for sediment transport.- Part III: New ow models.- 10 B. B. Dhia et al., Pseudo-compressibility, dispersive model and acoustic waves in shallow water flows.- 11 M. Ali Debyaoui and M. Ersoy, A Generalised Serre-Green-Naghdi equations for variable rectangular open channel hydraulics and its finite volume approximation.