Name: Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ (en Inglés)
Price: 351.53 USD
Availability: InStock
Author: Beu, Titus A.
ISBN: 9781138413351

portada Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ (en Inglés)

Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ (en Inglés)

Formato

Libro Físico

Autor

Titus A. Beu

Editorial

CRC Press

Idioma

Inglés

N° páginas

674

Encuadernación

Tapa Dura

ISBN13

9781138413351

N° edición

Categorías

Sistemas numéricos
Matemáticas aplicadas
Física

Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ (en Inglés)

Titus A. Beu (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ (en Inglés)"

Makes Numerical Programming More Accessible to a Wider Audience Bearing in mind the evolution of modern programming, most specifically emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C plus plus utilizes the author's many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts. Adopting a practical, broad appeal, this user-friendly book offers guidance to anyone interested in using numerical programming to solve science and engineering problems. Emphasizing methods generally used in physics and engineering from elementary methods to complex algorithms it gradually incorporates algorithmic elements with increasing complexity. Develop a Combination of Theoretical Knowledge, Efficient Analysis Skills, and Code Design Know-How The book encourages algorithmic thinking, which is essential to numerical analysis. Establishing the fundamental numerical methods, application numerical behavior and graphical output needed to foster algorithmic reasoning, coding dexterity, and a scientific programming style, it enables readers to successfully navigate relevant algorithms, understand coding design, and develop efficient programming skills. The book incorporates real code, and includes examples and problem sets to assist in hands-on learning. Begins with an overview on approximate numbers and programming in Python and C/C plus plus, followed by discussion of basic sorting and indexing methods, as well as portable graphic functionality Contains methods for function evaluation, solving algebraic and transcendental equations, systems of linear algebraic equations, ordinary differential equations, and eigenvalue problems Addresses approximation of tabulated functions, regression, integration of one-