Applied Scientific Computing: With Python

Name: Applied Scientific Computing: With Python
Brand: Springer
SKU: 9783319895741
Price: 3639.0 INR
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by Peter R. Turner

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ISBN13: 9783319895741
Binding: Hardcover
Subject: N/A
Publisher: Springer
Publisher Imprint: Springer
Publication Date: July 31, 2018
Pages: 272
Original Price: EUR 49.99
Language: English
Edition: 2018
Item Weight: 577 grams
BISAC Subject(s): Programming / Algorithms, Computer Simulation, and Applied

About The Book

From the Back Cover

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.

Dr. Peter R. Turner is the Founding Director of the Institute for STEM Education at Clarkson University, Potsdam, NY, USA. Dr. Thomas Arildsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark. Dr. Kathleen Kavanagh is a Professor in the Department of Mathematics at Clarkson University.

About The Author

Dr. Peter R. Turner is the Founding Director of the Institute for STEM Education at Clarkson University, Potsdam, NY USA.

Dr. Thomas Arildsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark.

Dr. Kathleen Kavanagh is a Professor in the Department of Mathematics at Clarkson University.

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