Numerical Analysis with Algorithms and Programming - Info and Reading Options
By Santanu Saha Ray
"Numerical Analysis with Algorithms and Programming" was published by Taylor & Francis Group in 2018, the book is classified in Mathematics genre, it has 708 pages and the language of the book is English.
“Numerical Analysis with Algorithms and Programming” Metadata:
- Title: ➤ Numerical Analysis with Algorithms and Programming
- Author: Santanu Saha Ray
- Language: English
- Number of Pages: 708
- Is Family Friendly: Yes - No Mature Content
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Genres: Mathematics
“Numerical Analysis with Algorithms and Programming” Subjects and Themes:
- Subjects: ➤ Numerical analysis - Problems, exercises - Engineering mathematics - Data processing - Algorithms - Analyse numérique - Problèmes et exercices - Mathématiques de l'ingénieur - Informatique - Algorithmes - MATHEMATICS - Numerical Analysis
Edition Identifiers:
- Google Books ID: yDH3DwAAQBAJ
- The Open Library ID: OL33725100M - OL25159698W
- ISBN-13: 9781315362212
- ISBN-10: 131536221X
- All ISBNs: 9781315362212 - 131536221X
AI-generated Review of “Numerical Analysis with Algorithms and Programming”:
Snippets and Summary:
Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica® programs, the book includes the standard algorithms for numerical computation: Root finding for nonlinear equations Interpolation and approximation of ...
"Numerical Analysis with Algorithms and Programming" Description:
Google Books:
Numerical Analysis with Algorithms and Programming is the first comprehensive textbook to provide detailed coverage of numerical methods, their algorithms, and corresponding computer programs. It presents many techniques for the efficient numerical solution of problems in science and engineering. Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica® programs, the book includes the standard algorithms for numerical computation: Root finding for nonlinear equations Interpolation and approximation of functions by simpler computational building blocks, such as polynomials and splines The solution of systems of linear equations and triangularization Approximation of functions and least square approximation Numerical differentiation and divided differences Numerical quadrature and integration Numerical solutions of ordinary differential equations (ODEs) and boundary value problems Numerical solution of partial differential equations (PDEs) The text develops students’ understanding of the construction of numerical algorithms and the applicability of the methods. By thoroughly studying the algorithms, students will discover how various methods provide accuracy, efficiency, scalability, and stability for large-scale systems.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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