Description: Applied Scientific Computing : With Python, Hardcover by Turner, Peter R.; Arildsen, Thomas; Kavanagh, Kathleen, ISBN 3319895745, ISBN-13 9783319895741, Like New Used, Free shipping in the US
This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python.
Topics and features: provides an accessible and applications-oriented approach, supported by working Python code for many of the methods; encourages both problem- and project-based learning through extensive examples, exercises, and projects drawn from practical applications; introduces the main concepts in modeling, python programming, number representation, and errors; explains the essential details of numerical calculus, linear, and nonlinear equations, including the multivariable Newton method; discusses interpolation and the numerical solution of differential equations, covering polynomial interpolation, splines, and the Euler, Runge–Kutta, and shooting methods; presents largely self-contained chapters, arranged in a logical order suitable for an introductory course on scientific computing.Undergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social science.
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Location: Jessup, Maryland
End Time: 2024-12-27T09:16:18.000Z
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Book Title: Applied Scientific Computing : With Python
Number of Pages: X, 272 Pages
Language: English
Publication Name: Applied Scientific Computing : with Python
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Engineering (General), Numerical Analysis, Programming Languages / Python
Type: Textbook
Item Weight: 21 Oz
Author: Kathleen Kavanagh, Thomas Arildsen, Peter R. Turner
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Item Width: 6.1 in
Series: Texts in Computer Science Ser.
Format: Hardcover
