
An Introduction to Scientific Computing with MATLAB® and Python Tutorials
by: Sheng Xu (Author)
Publisher:
Edition: 1st
Publication Date: 2022/6/9
Language: English
Print Length: 381 pages
ISBN-10: 1032063157
ISBN-13: 9781032063157
Book Description
This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing.This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions.•Where is the method applied?•How is the method developed?•How is the method implemented?•How well does the method work?The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills.
About the Author
This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing.This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions.•Where is the method applied?•How is the method developed?•How is the method implemented?•How well does the method work?The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills. Read more
An Introduction to Scientific Computing with MATLAB® and Python Tutorials
相关推荐
The VES Handbook of Visual Effects: Industry Standard VFX Practices and Procedures, Fourth Edition
Kickstart IoT Systems Engineering: Build Intelligent IoT Systems from Embedded Devices to Cloud and Edge AI
Modern Computer Architecture and Organization: A systems-level guide to modern computer architectures, from hardware foundations to AI datacenters 3rd Edition
Financial Mathematics for Cryptocurrencies
Reactive Patterns with RxJS and Angular Signals - Second Edition: Elevate your Angular 18 applications with RxJS Observables, subjects, operators, and Angular Signals
Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform
Computer Fundamentals and Programming in C
Fundamentals of Web Development, Global Edition
电子书百科大全
评论前必须登录!
立即登录 注册