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Programming for Computations - Python
  • Language: en
  • Pages: 244

Programming for Computations - Python

  • Type: Book
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  • Published: 2016-07-25
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  • Publisher: Springer

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
  • Language: en
  • Pages: 228

Programming for Computations - MATLAB/Octave

  • Type: Book
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  • Published: 2016-08-01
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  • Publisher: Springer

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
  • Language: en
  • Pages: 350

Programming for Computations - Python

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 correcte...

Finite Difference Computing with PDEs
  • Language: en
  • Pages: 522

Finite Difference Computing with PDEs

  • Type: Book
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  • Published: 2017-06-21
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  • Publisher: Springer

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
  • Language: en
  • Pages: 610

Finite Difference Computing with PDEs

  • Type: Book
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  • Published: 2017-06-14
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  • Publisher: Springer

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. This book is open access under a CC BY license.

Educational Innovation in Economics and Business VI
  • Language: en
  • Pages: 275

Educational Innovation in Economics and Business VI

Business education and business research has often been criticized by the business community, which claims that much of it is mainly directed at the establishment of teachers and researchers themselves, instead of distributing their knowledge to the business community. It may seem that many universities and other research institutions have turned into mere `knowledge manufacturers', where the emphasis is more on the output volume than on quality of relevance, with little or no consideration for the end users. As universities and corporations attempt to prepare management to be alert to future changes, improved and even brand new teaching methodologies are required. The main focus of the present volume is on the distribution and selection of new knowledge. How can business educators deliver new knowledge to students and the business community more rapidly than before? How should we define the core business curriculum when new knowledge becomes old knowledge?

Automated Solution of Differential Equations by the Finite Element Method
  • Language: en
  • Pages: 723

Automated Solution of Differential Equations by the Finite Element Method

This book is a tutorial written by researchers and developers behind the FEniCS Project and explores an advanced, expressive approach to the development of mathematical software. The presentation spans mathematical background, software design and the use of FEniCS in applications. Theoretical aspects are complemented with computer code which is available as free/open source software. The book begins with a special introductory tutorial for beginners. Following are chapters in Part I addressing fundamental aspects of the approach to automating the creation of finite element solvers. Chapters in Part II address the design and implementation of the FEnicS software. Chapters in Part III present the application of FEniCS to a wide range of applications, including fluid flow, solid mechanics, electromagnetics and geophysics.

Introduction to Numerical Methods for Variational Problems
  • Language: en
  • Pages: 395

Introduction to Numerical Methods for Variational Problems

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.

Computational Fluid Dynamics for Sport Simulation
  • Language: en
  • Pages: 142

Computational Fluid Dynamics for Sport Simulation

All over the world sport plays a prominent role in society: as a leisure activity for many, as an ingredient of culture, as a business and as a matter of national prestige in such major events as the World Cup in soccer or the Olympic Games. Hence, it is not surprising that science has entered the realm of sports, and, in particular, that computer simulation has become highly relevant in recent years. This is explored in this book by choosing five different sports as examples, demonstrating that computational science and engineering (CSE) can make essential contributions to research on sports topics on both the fundamental level and, eventually, by supporting athletes’ performance.

Advances In Intelligent Control
  • Language: en
  • Pages: 384

Advances In Intelligent Control

  • Type: Book
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  • Published: 1994-03-11
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  • Publisher: CRC Press

"Advances in intelligent Control" is a collection of essays covering the latest research in the field. Based on a special issue of "The International Journal of Control", the book is arranged in two parts. Part one contains recent contributions of artificial neural networks to modelling and control. Part two concerns itself primarily with aspects of fuzzy logic in intelligent control, guidance and estimation, although some of the contributions either make direct equivalence relationships to neural networks or use hybrid methods where a neural network is used to develop the fuzzy rule base.