Practical Numerical Methods with C# (Second Edition): Numerical Programming and Math Functions for Real-World .NET Applications with C# (C# Math Application)

Xu, Jack

ISBN 10: 1695895576 / ISBN 13: 9781695895577

Published by Independently published, 2019

About this Item

470 pages. 9.25x7.50x1.06 inches. In Stock.

Seller Inventory # zk1695895576

Bibliographic Details

• Title: Practical Numerical Methods with C# (Second Edition): Numerical Programming and Math Functions for Real-World .NET Applications with C# (C# Math Application)
• Publisher: Independently published
• Publication Date: 2019
• Language: English
• ISBN 10: 1695895576
• ISBN 13: 9781695895577
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

The second edition of this book builds all teh code example within a single project by incorporating new advancements in C# .NET technology and open-source math libraries. It also uses C# Interactive Window to test numerical computations without compiling or running the complete project code. The second edition includes three new chapters, including "Plotting", Fourier Analysis" and "Math Expression Parser". As in the first edition, this book presents an in-depth exposition of the various numerical methods used in real-world scientific and engineering computations. It emphasizes the practical aspects of C# numerical methods and mathematical functions programming, and discusses various techniques in details to enable you to implement these numerical methods in your .NET application. Ideal for scientists, engineers, and students who would like to become more adept at numerical methods, teh second edition of this book covers the following content: - Overview of C# programming. - The mathematical background and fundamentals of numerical methods. - plotting the computation results using a 3D chart control. - Math libraries for complex numbers and functions, real and complex vector and matrix operations, and special functions. - Numerical methods for generating random numbers and random distribution functions. - Various numerical methods for solving linear and nonlinear equations. - Numerical differentiation and integration. - Interpolations and curve fitting. - Optimization of single-variable and multi-variable functions with a variety of techniques, including advanced simulated annealing and evolutionary algorithms. - Numerical techniques for solving ordinary differential equations. - Numerical methods for solving boundary value problems. - Eigenvalue problems. - Fourier analysis. - mathematical expression parser and evaluator.In addition, this book provides testing examples for every math function and numerical method to show you how to use these functions and methods in your own .NET applications in a manageable and step-by-step fashion. Please visit the author's website for more information about this book at https://drxudotnet.com and https://gincker.com.