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
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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: 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: 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: 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
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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
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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: Mu?oz-Ruiz
Название: Recent Advances in Numerical Methods for Hyperbolic PDE Systems
ISBN: 3030728528 ISBN-13(EAN): 9783030728526
Издательство: Springer
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Цена: 139750.00 T
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Описание: The present volume contains selected papers issued from the sixth edition of the International Conference "Numerical methods for hyperbolic problems" that took place in 2019 in M?laga (Spain). NumHyp conferences, which began in 2009, focus on recent developments and new directions in the field of numerical methods for hyperbolic partial differential equations (PDEs) and their applications. The 11 chapters of the book cover several state-of-the-art numerical techniques and applications, including the design of numerical methods with good properties (well-balanced, asymptotic-preserving, high-order accurate, domain invariant preserving, uncertainty quantification, etc.), applications to models issued from different fields (Euler equations of gas dynamics, Navier-Stokes equations, multilayer shallow-water systems, ideal magnetohydrodynamics or fluid models to simulate multiphase flow, sediment transport, turbulent deflagrations, etc.), and the development of new nonlinear dispersive shallow-water models. The volume is addressed to PhD students and researchers in Applied Mathematics, Fluid Mechanics, or Engineering whose investigation focuses on or uses numerical methods for hyperbolic systems. It may also be a useful tool for practitioners who look for state-of-the-art methods for flow simulation.

Автор: Kelley, C. T.
Название: Solving nonlinear equations with iterative methods
ISBN: 1611977266 ISBN-13(EAN): 9781611977264
Издательство: Mare Nostrum (Eurospan)
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Цена: 70230.00 T
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Описание: This user-oriented guide describes state-of-the-art methods for nonlinear equations and shows, via algorithms in pseudocode and Julia with several examples, how to choose an appropriate iterative method for a given problem and write an efficient solver or apply one written by others.A sequel to the author's Solving Nonlinear Equations with Newton's Methods (SIAM, 2003), this book contains new material on pseudo-transient continuation, mixed-precision solvers, and Anderson acceleration. It is supported by a Julia package and a suite of Jupyter notebooks and includes examples of nonlinear problems from many disciplines.This book is will be useful to researchers who solve nonlinear equations, students in numerical analysis, and the Julia community.

Автор: Stuart G. Whittington
Название: Numerical Methods for Polymeric Systems
ISBN: 0387985573 ISBN-13(EAN): 9780387985572
Издательство: Springer
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Цена: 130430.00 T
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Описание: Contains contributions from a workshop on numerical methods for polymeric systems, held at the IMA in May 1996. The two major approaches used in the field are molecular dynamics and Monte Carlo methods, and this book includes reviews of both approaches as well as applications to particular polymeric systems.

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.