A MATLAB® Primer for Technical Programming for Materials Science and Engineering PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A MATLAB® Primer for Technical Programming for Materials Science and Engineering PDF full book. Access full book title A MATLAB® Primer for Technical Programming for Materials Science and Engineering by Leonid Burstein. Download full books in PDF and EPUB format.
Author: Leonid Burstein
Publisher: Woodhead Publishing
ISBN: 0128191163
Category : Technology & Engineering
Languages : en
Pages : 286
Get Book Here
Book Description
A MATLAB® Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB® in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB® for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB®. - Provides the necessary background, alongside examples drawn from the field, to allow materials scientists to effectively master MATLAB® - Guides the reader through programming and technical concepts in a logical and coherent manner - Promotes a thorough working familiarity with MATLAB® for materials scientists - Gives the information needed to write efficient and compact programs to solve problems in materials science, tribology, mechanics of materials and other material-related disciplines
Author: Leonid Burstein
Publisher: Woodhead Publishing
ISBN: 0128191163
Category : Technology & Engineering
Languages : en
Pages : 286
Get Book Here
Book Description
A MATLAB® Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB® in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB® for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB®. - Provides the necessary background, alongside examples drawn from the field, to allow materials scientists to effectively master MATLAB® - Guides the reader through programming and technical concepts in a logical and coherent manner - Promotes a thorough working familiarity with MATLAB® for materials scientists - Gives the information needed to write efficient and compact programs to solve problems in materials science, tribology, mechanics of materials and other material-related disciplines
Author: Stephen Chapman
Publisher:
ISBN: 9781111576721
Category :
Languages : en
Pages : 576
Get Book Here
Book Description
Author: Erik Lee Nylen
Publisher: Academic Press
ISBN: 012804098X
Category : Science
Languages : en
Pages : 370
Get Book Here
Book Description
A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner's introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. - Includes discussions of both MATLAB and Python in parallel - Introduces the canonical data analysis cascade, standardizing the data analysis flow - Presents tactics that strategically, tactically, and algorithmically help improve the organization of code
Author: Kenneth J. Beers
Publisher: Cambridge University Press
ISBN: 9780521859714
Category : Computers
Languages : en
Pages : 496
Get Book Here
Book Description
Applications of numerical mathematics and scientific computing to chemical engineering.
Author: Luis F. Chaparro
Publisher: Academic Press
ISBN: 0128142057
Category : Technology & Engineering
Languages : en
Pages : 838
Get Book Here
Book Description
Signals and Systems Using MATLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a mathematically dry subject. Historical notes and common mistakes combined with applications in controls, communications and signal processing help students understand and appreciate the usefulness of the techniques described in the text. This new edition features more end-of-chapter problems, new content on two-dimensional signal processing, and discussions on the state-of-the-art in signal processing. - Introduces both continuous and discrete systems early, then studies each (separately) in-depth - Contains an extensive set of worked examples and homework assignments, with applications for controls, communications, and signal processing - Begins with a review on all the background math necessary to study the subject - Includes MATLAB® applications in every chapter
Author: John M. Stewart
Publisher: Cambridge University Press
ISBN: 1316641236
Category : Computers
Languages : en
Pages : 272
Get Book Here
Book Description
Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
Author: William Bober
Publisher: CRC Press
ISBN: 146657609X
Category : Mathematics
Languages : en
Pages : 544
Get Book Here
Book Description
Introduction to Numerical and Analytical Methods with MATLAB for Engineers and Scientists provides the basic concepts of programming in MATLAB for engineering applications. Teaches engineering students how to write computer programs on the MATLAB platform Examines the selection and use of numerical and analytical methods through examples and cas
Author: Jaan Kiusalaas
Publisher: Cambridge University Press
ISBN: 1107033853
Category : Computers
Languages : en
Pages : 437
Get Book Here
Book Description
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
Author: Albert Danial
Publisher: Apress
ISBN: 9781484272220
Category : Computers
Languages : en
Pages : 700
Get Book Here
Book Description
MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, statistics, finance, and simulation. It is three books in one: A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions A reference guide to setting up and managing a Python environment that integrates cleanly with MATLAB A collection of recipes that demonstrate Python solutions invoked directly from MATLAB This book shows how to call Python functions to enhance MATLAB's capabilities. Specifically, you'll see how Python helps MATLAB: Run faster with numba Distribute work to a compute cluster with dask Find symbolic solutions to integrals, derivatives, and series summations with SymPy Overlay data on maps with Cartopy Solve mixed-integer linear programming problems with PuLP Interact with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongo Read and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and ini Who This Book Is For MATLAB developers who are new to Python and other developers with some prior experience with MATLAB, R, IDL, or Mathematica.
Author: Svein Linge
Publisher: Springer
ISBN: 3319324284
Category : Computers
Languages : en
Pages : 244
Get Book Here
Book Description
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.
