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"Engineering mathematics Data processing"
صنف حسب:
Numerical Methods in Engineering with Python 3
بواسطة
Kiusalaas, Jaan
في
Engineering mathematics
,
Engineering mathematics -- Data processing
,
MATLAB
2013,2014
This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use. All methods include programs showing how the computer code is utilised in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new edition demonstrates the use of Python 3 and includes an introduction to the Python plotting package Matplotlib. This comprehensive book is enhanced by the addition of numerous examples and problems throughout.
eBook
An introduction to computational engineering with matlab
بواسطة
Yang, Xin-She
في
Data processing
,
Engineering mathematics
,
Engineering mathematics--Data processing
2006,2005
This book strives to provide a concise introduction to computational engineering by introducing a wider range of numerical methods commonly used in computational modelling and scientific computing. These methods include finite difference methods, finite volume methods, finite element methods, virtual bee algorithms, and cellular automata. It also covers a wide spectrum of advanced topics in engineering applications, and these advanced topics include elasticity, heat conduction, reaction-diffusion system, optimisation, stochastic cellular automata, combustion, consolidation, heat transfer of carbon nanotubes, and pattern formation. The accompanied concise Matlab programs, no more than 100 lines each, demonstrate how each numerical method works. This book can serve as an introductory textbook and prepare the readers to learn more advanced topics in scientific computing.
eBook
Essential MATLAB for engineers and scientists
بواسطة
Valentine, D. T.
,
Hahn, Brian D.
في
Data processing
,
Engineering mathematics -- Data processing
,
MATLAB (Computer file)
2007
The essential guide to MATLAB as a problem solving toolThis text presents MATLAB both as a mathematical tool and a programming language, giving a concise and easy to master introduction to its potential and power. Stressing the importance of a structured approach to problem solving, the text gives a step-by-step method for program design and algorithm development. The fundamentals of MATLAB are illustrated throughout with many examples from a wide range of familiar scientific and engineering areas, as well as from everyday life.Features:. Includes MATLAB Version 7.2, Release 2006a. Numerous simple exercises provide hands-on learning of MATLAB's functions. A new chapter on dynamical systems shows how a structured approach is used to solve more complex problems.. Common errors and pitfalls highlighted. Concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, simulation and numerical methods. Text and graphics in four colour. Extensive instructor supportEssential MATLAB for Engineers and Scientists is an ideal textbook for a first course on MATLAB or an engineering problem solving course using MATLAB, as well as a self-learning tutorial for students and professionals expected to learn and apply MATLAB for themselves.Additional material is available for lecturers only at http://textbooks.elsevier.com. This website provides lecturers with:A series of Powerpoint presentations to assist lecture preparationExtra quiz questions and problemsAdditional topic materialM-files for the exercises and examples in the text (also available to students at the book's companion site)Solutions to exercisesAn interview with the revising author, Daniel Valentine · Numerous simple exercises give hands-on learning· A chapter on algorithm development and program design · Common errors and pitfalls highlighted· Concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, simulation and numerical methods· A new chapter on dynamical systems shows how a structured approach is used to solve more complex problems.· Text and graphics in four colour· Extensive teacher support on http://textbooks.elsevier.com: solutions manual, extra problems, multiple choice questions, PowerPoint slides· Companion website for students providing M-files used within the book
eBook
Essential MATLAB for engineers and scientists
بواسطة
Valentine, D. T.
,
Hahn, Brian D.
في
Data processing
,
Engineering mathematics
,
Engineering mathematics -- Data processing
2013,2012
The fifth edition of Essential MATLAB for Engineers and Scientists provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications.The essentials of MATLAB are illustrated throughout, featuring complete coverage of the software's windows and menus.
eBook
Numerical methods for engineers
بواسطة
Chapra, Steven C. author
,
Canale, Raymond P. author
في
Engineering mathematics Data processing
,
Numerical calculations Data processing
,
Microcomputers Programming
2006
The fifth edition of 'Numerical Methods for Engineers' includes challenging problems drawn from all engineering disciplines, of which 80% are new or revised.
Numerical and analytical methods with MATLAB(R) for electrical engineers
بواسطة
Stevens, Andrew
,
Bober, William
في
Data processing
,
Engineering mathematics
,
Engineering mathematics -- Data processing
2013,2012,2016
This textbook presents basic programming techniques consistent with the MATLAB software package. It also discusses numerical and analytical concepts applicable to electrical engineering. The text contains many sample MATLAB programs that provide guidance for student completing the assigned projects. Case studies relate concepts presented in the chapters to engineering in practice. The chapters address such topics as Simulink, curve fitting, optimization, partial differential equations, laplace transforms, control systems, signal processing, differential equations, transcendental equations, and numerical integration. A complete solutions manual is available for qualified adopters.
eBook