Numerical methods for engineers and scientists, Hoffman, Joe D. (clinton, Washington, Usa) Hoffman, Joe D. (purdue Universeity, West Lafayette, Indiana, Usa) Frankel, Steven (purdue University, West
Автор: Thomas A. Garrity Название: All the Math You Missed ISBN: 1009009192 ISBN-13(EAN): 9781009009195 Издательство: Cambridge Academ Рейтинг: Цена: 26400.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The second edition of this bestselling book provides an overview of the key topics in undergraduate mathematics, allowing beginning graduate students to fill in any gaps in their knowledge. With numerous examples, exercises and suggestions for further reading, it is a must-have for anyone looking to learn some serious mathematics quickly.
Автор: li zhilin Название: Numerical solution of differential equations ISBN: 1107163226 ISBN-13(EAN): 9781107163225 Издательство: Cambridge Academ Рейтинг: Цена: 89760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This practical and concise guide to finite difference and finite element methods is aimed at graduate students who need to solve differential equations. With few prerequisites, the book is accessible to readers from a range of disciplines across science and engineering. Well-tested MATLAB (R) codes are available online.
Автор: Leo G. Rebholz, Timo Heister Название: Scientific Computing: For Scientists and Engineers ISBN: 3110999617 ISBN-13(EAN): 9783110999617 Издательство: Walter de Gruyter Рейтинг: Цена: 24640.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing.
Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations?
Scientific Computing for Scientists and Engineers covers:
An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems;
Scientific computing fundamentals like floating point representation of numbers and convergence;
Analysis of accuracy and efficiency;
Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems;
Exercises to reinforce all topics.
Автор: Chapra, Steven Canale, Raymond Название: Numerical methods for engineers ISBN: 1260571386 ISBN-13(EAN): 9781260571387 Издательство: McGraw-Hill Рейтинг: Цена: 95730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The eighth edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. The book covers the standard numerical methods employed by both students and practicing engineers. Although relevant theory is covered, the primary emphasis is on how the methods are applied for engineering problem solving.
Each part of the book includes a chapter devoted to case studies from the major engineering disciplines. Numerous new or revised end-of chapter problems and case studies are drawn from actual engineering practice. This edition also includes several new topics including a new formulation for cubic splines, Monte Carlo integration, and supplementary material on hyperbolic partial differential equations.
Автор: William W. Hager Название: Applied Numerical Linear Algebra ISBN: 1611976855 ISBN-13(EAN): 9781611976854 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 74410.00 T Наличие на складе: Нет в наличии. Описание: Applied Numerical Linear Algebra introduces students to numerical issues that arise in linear algebra and its applications. A wide range of techniques are touched on, including direct to iterative methods, orthogonal factorizations, least squares, eigenproblems, and nonlinear equations.Inside Applied Numerical Linear Algebra, readers will find:Clear and detailed explanations on a wide range of topics from condition numbers to the singular value decomposition.Material on nonlinear systems as well as linear systems.Frequent illustrations using discretizations of boundary-value problems or demonstrating other concepts.Exercises with detailed solutions at the end of the book.Supplemental material available at https://bookstore.siam.org/cl87/bonus.This textbook is appropriate for junior and senior undergraduate students and beginning graduate students in 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: Bayen, Alexandre Название: Python Programming And Numerical Methods ISBN: 0128195495 ISBN-13(EAN): 9780128195499 Издательство: Elsevier Science Рейтинг: Цена: 70730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level to allow the students to quickly apply results in practical settings.
Автор: Hoffman, Johan, Название: Methods in computational science / ISBN: 1611976715 ISBN-13(EAN): 9781611976717 Издательство: Mare Nostrum (Eurospan) Рейтинг: 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.
Автор: Ross, Sheldon M. Название: Introduction To Probability And Statistics For Engineers And Scientists ISBN: 0128243465 ISBN-13(EAN): 9780128243466 Издательство: Elsevier Science Рейтинг: Цена: 110030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.
Автор: Kelley, C. T. Название: Solving nonlinear equations with iterative methods ISBN: 1611977266 ISBN-13(EAN): 9781611977264 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 70230.00 T Наличие на складе: Нет в наличии. 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: Chapra Steven C Название: Applied Numerical Methods with MATLAB ISBN: 0073401102 ISBN-13(EAN): 9780073401102 Издательство: McGraw-Hill Рейтинг: Цена: 175020.00 T Наличие на складе: Поставка под заказ. Описание: Written for engineering and science students who want to learn and apply numerical methods in order to solve problems in engineering and science, this book introduces theory to inform key concepts which are framed in applications and demonstrated using MATLAB. It is designed for a one-semester or one-quarter course in numerical methods.
Автор: Kiusalaas Название: Numerical Methods in Engineering with MATLAB ISBN: 1107120578 ISBN-13(EAN): 9781107120570 Издательство: Cambridge Academ Рейтинг: Цена: 92930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Alex Gezerlis Название: Numerical Methods in Physics with Python ISBN: 1009303856 ISBN-13(EAN): 9781009303859 Издательство: Cambridge Academ Рейтинг: Цена: 116160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
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