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B-Series: Algebraic Analysis of Numerical Methods, Butcher John C.


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Автор: Butcher John C.
Название:  B-Series: Algebraic Analysis of Numerical Methods
ISBN: 9783030709556
Издательство: Springer
Классификация:
ISBN-10: 3030709558
Обложка/Формат: Hardcover
Страницы: 310
Вес: 0.63 кг.
Дата издания: 25.05.2021
Язык: English
Размер: 23.39 x 15.60 x 1.91 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: Chapter six, on multivalue methods, gives a traditional review of linear multistep methods and expands this to general linear methods, for which the B-series approach is both natural and essential.

Numerical Methods and Data Analysis

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.

Numerical analysis

Автор: Burden Annette, Burden Richard, Faires J. Douglas
Название: Numerical analysis
ISBN: 1305253663 ISBN-13(EAN): 9781305253667
Издательство: Cengage Learning
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Цена: 62820.00 T
Наличие на складе: Есть
Описание: Introduces readers to the theory and application of modern numerical approximation techniques. Providing an accessible treatment that only requires a calculus prerequisite, the authors explain how, why, and when approximation techniques can be expected to work - and why, in some situations, they fail.

Numerically Solving Polynomial Systems with Bertini

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
Наличие на складе: Поставка под заказ.
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.

Introduction To Numerical Computation, An

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.

Sparse Solutions of Underdetermined Linear Systems

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
Наличие на складе: Поставка под заказ.
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.

Numerical Methods in Engineering with MATLAB

Автор: Kiusalaas
Название: Numerical Methods in Engineering with MATLAB
ISBN: 1107120578 ISBN-13(EAN): 9781107120570
Издательство: Cambridge Academ
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Цена: 92930.00 T
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Описание: The third edition of this text describes a range of widely used numerical methods, with an emphasis on problem solving. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. MATLAB (R) M-files accompany each method and are available online, as are solutions to the problems.

Dirichlet-Dirichlet Domain Decomposition Methods For Elliptic Problems: H And Hp Finite Element Discretizations

Автор: Korneev Vadim Glebiovich Et Al
Название: Dirichlet-Dirichlet Domain Decomposition Methods For Elliptic Problems: H And Hp Finite Element Discretizations
ISBN: 9814578452 ISBN-13(EAN): 9789814578455
Издательство: World Scientific Publishing
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Цена: 163680.00 T
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Описание:

Domain decomposition (DD) methods provide powerful tools for constructing parallel numerical solution algorithms for large scale systems of algebraic equations arising from the discretization of partial differential equations. These methods are well-established and belong to a fast developing area. In this volume, the reader will find a brief historical overview, the basic results of the general theory of domain and space decomposition methods as well as the description and analysis of practical DD algorithms for parallel computing. It is typical to find in this volume that most of the presented DD solvers belong to the family of fast algorithms, where each component is efficient with respect to the arithmetical work. Readers will discover new analysis results for both the well-known basic DD solvers and some DD methods recently devised by the authors, e.g., for elliptic problems with varying chaotically piecewise constant orthotropism without restrictions on the finite aspect ratios.

The hp finite element discretizations, in particular, by spectral elements of elliptic equations are given significant attention in current research and applications. This volume is the first to feature all components of Dirichlet-Dirichlet-type DD solvers for hp discretizations devised as numerical procedures which result in DD solvers that are almost optimal with respect to the computational work. The most important DD solvers are presented in the matrix/vector form algorithms that are convenient for practical use.


Numerical Differential Equations: Theory And Technique, Ode Methods, Finite Differences, Finite Elements And Collocation

Автор: Loustau John
Название: Numerical Differential Equations: Theory And Technique, Ode Methods, Finite Differences, Finite Elements And Collocation
ISBN: 9814719498 ISBN-13(EAN): 9789814719490
Издательство: World Scientific Publishing
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Цена: 126720.00 T
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Описание: The book presents numerical differential equations to graduate (doctoral) students. It includes the three standard approaches to numerical PDE, FDM, FEM and CM, and the two most common time stepping techniques, FDM and Runge-Kutta. We present both the numerical technique and the supporting mathematical theory.

Solutions Manual to Accompany An Introduction to Numerical Methods and Analysis Revised Edition

Автор: Epperson
Название: Solutions Manual to Accompany An Introduction to Numerical Methods and Analysis Revised Edition
ISBN: 0470603518 ISBN-13(EAN): 9780470603512
Издательство: Wiley
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Цена: 37960.00 T
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Описание: Praise for the First Edition "... outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises. " -Zentrablatt Math "... carefully structured with many detailed worked examples... " -The Mathematical Gazette "...

B-Series: Algebraic Analysis of Numerical Methods

Автор: Butcher John C.
Название: B-Series: Algebraic Analysis of Numerical Methods
ISBN: 3030709582 ISBN-13(EAN): 9783030709587
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter six, on multivalue methods, gives a traditional review of linear multistep methods and expands this to general linear methods, for which the B-series approach is both natural and essential.

Methods in computational science /

Автор: Hoffman, Johan,
Название: Methods in computational science /
ISBN: 1611976715 ISBN-13(EAN): 9781611976717
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
Наличие на складе: Невозможна поставка.
Описание: Computational methods are an integral part of most scientific disciplines, and a rudimentary understanding of their potential and limitations is essential for any scientist or engineer. This textbook introduces computational science through a set of methods and algorithms with the aim of familiarizing the reader with the field's theoretical foundations and providing the practical skills to use and develop computational methods. Methods in Computational Scienceextends the classical syllabus with new material, including high performance computing, adjoint methods, machine learning, randomized algorithms, and quantum computing,is centered around a set of fundamental algorithms presented in the form of pseudocode,presents theoretical material alongside several examples and exercises, andprovides Python implementations of many key algorithms.Methods in Computational Science is a textbook for computer science and data science students at the advanced undergraduate and graduate level. 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. Because the text is self-contained, it can also be used to support continuous learning for practicing mathematicians, data scientists, computer scientists, and engineers in the field of computational science.

Python for Scientists

Автор: John M. Stewart
Название: Python for Scientists
ISBN: 1316641236 ISBN-13(EAN): 9781316641231
Издательство: Cambridge Academ
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Цена: 33780.00 T
Наличие на складе: Поставка под заказ.
Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.


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