This book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 (Texts in Computational Science and Engineering, 15)

Computers & Technology

Linge, Svein

Langtangen, Hans Petter

Computer Science

Springer

This textbook teaches finite element methods from a computational point of view. It focuses on how to develop flexible computer programs with Python, a programming language in which a combination of symbolic and numerical tools is used to achieve an explicit and practical derivation of finite element algorithms. The finite element library FEniCS is used throughout the book, but the content is provided in sufficient detail to ensure that students with less mathematical background or mixed programming-language experience will equally benefit. All program examples are available on the Internet.

Introduction to Numerical Methods for Variational Problems (Texts in Computational Science and Engineering, 21)

Science & Math

Mardal, Kent-André

Mathematics

Introduction to Numerical Methods for Variational Problems (Texts in Computational Science and Engineering)

This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The pedagogical strategy is to use one case study – an ordinary differential equation describing exponential decay processes – to illustrate fundamental concepts in mathematics and computer science. The book is easy to read and only requires a command of one-variable calculus and some very basic knowledge about computer programming. Contrary to similar texts on numerical methods and programming, this text has a much stronger focus on implementation and teaches testing and software engineering in particular.

Finite Difference Computing with Exponential Decay Models (Lecture Notes in Computational Science and Engineering, 110)

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave (Texts in Computational Science and Engineering, 14)

This book is open access under a CC BY 4.0 license. 
This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods. Unlike many of the traditional academic works on the topic, this book was written for practitioners. Accordingly, it especially addresses: the construction of finite difference schemes, formulation and implementation of algorithms, verification of implementations, analyses of physical behavior as implied by the numerical solutions, and how to apply the methods and software to solve problems in the fields of physics and biology.

Finite Difference Computing with PDEs: A Modern Software Approach (Texts in Computational Science and Engineering, 16)

Finite Difference Computing With Pdes

Springer International Publishing

Imprint: Springer

Springer Nature

This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The pedagogical strategy is to use one case study – an ordinary differential equation describing exponential decay processes – to illustrate fundamental concepts in mathematics and computer science. The book is easy to read and only requires a command of one-variable calculus and some very basic knowledge about computer programming. Contrary to similar texts on numerical methods and programming, this text has a much stronger focus on implementation and teaches testing and software engineering in particular. 

Finite Difference Computing with Exponential Decay Models (Lecture Notes in Computational Science and Engineering)

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.  The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering, 15)

See the best price to sell, buy, or rent books by Langtangen, Hans Petter. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Langtangen, Hans Petter

See the best price to sell, buy, or rent books by Langtangen, Hans Petter. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 (Texts in Computational Science and Engineering, 15)

Introduction to Numerical Methods for Variational Problems (Texts in Computational Science and Engineering, 21)

Introduction to Numerical Methods for Variational Problems (Texts in Computational Science and Engineering)

Finite Difference Computing with Exponential Decay Models (Lecture Notes in Computational Science and Engineering, 110)

Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave (Texts in Computational Science and Engineering, 14)

Finite Difference Computing with PDEs: A Modern Software Approach (Texts in Computational Science and Engineering, 16)

Finite Difference Computing With Pdes

Finite Difference Computing with Exponential Decay Models (Lecture Notes in Computational Science and Engineering)

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering, 15)

Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave (Texts in Computational Science and Engineering, 14)