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Numerical Methods In Engineering With Python 3 Third Edition


Numerical Methods In Engineering With Python 3 Third Edition
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Numerical Methods In Engineering With Python 3 Third Edition


Numerical Methods In Engineering With Python 3 Third Edition
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Author : Jaan Kiusalaas
language : en
Publisher:
Release Date : 2013

Numerical Methods In Engineering With Python 3 Third Edition written by Jaan Kiusalaas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.


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.



Numerical Methods In Engineering With Python 3


Numerical Methods In Engineering With Python 3
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Author : Jaan Kiusalaas
language : en
Publisher: Cambridge University Press
Release Date : 2013-01-21

Numerical Methods In Engineering With Python 3 written by Jaan Kiusalaas and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-21 with Computers categories.


Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.



Numerical Methods In Engineering With Python


Numerical Methods In Engineering With Python
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Author : Jaan Kiusalaas
language : en
Publisher: Cambridge University Press
Release Date : 2010-01-29

Numerical Methods In Engineering With Python written by Jaan Kiusalaas and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-29 with Technology & Engineering categories.


This text is for engineering students and a reference for practising engineers, especially those who wish to explore Python. This new edition features 18 additional exercises and the addition of rational function interpolation. Brent's method of root finding was replaced by Ridder's method, and the Fletcher-Reeves method of optimization was dropped in favor of the downhill simplex method. Each numerical method is explained in detail, and its shortcomings are pointed out. The examples that follow individual topics fall into two categories: hand computations that illustrate the inner workings of the method and small programs that show how the computer code is utilized in solving a problem. This second edition also includes more robust computer code with each method, which is available on the book website. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method.



Numerical Methods In Engineering With Python 3


Numerical Methods In Engineering With Python 3
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Author : Jaan Kiusalaas
language : en
Publisher:
Release Date : 2013

Numerical Methods In Engineering With Python 3 written by Jaan Kiusalaas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Engineering mathematics categories.


"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"--



Metode Numerik Berbasis Python 3 Untuk Sains Dan Teknik


Metode Numerik Berbasis Python 3 Untuk Sains Dan Teknik
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Author : Mada Sanjaya W. S., Ph.D.
language : id
Publisher: Bolabot
Release Date : 2020-08-31

Metode Numerik Berbasis Python 3 Untuk Sains Dan Teknik written by Mada Sanjaya W. S., Ph.D. and has been published by Bolabot this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Computers categories.


Buku ini terdiri dari dua belas bab, yaitu: Bab 1 membahas pengenalan Python 3 untuk komputasi sistem fisis. Bab 2 membahas matriks, fungsi dan module. Bab 3 mencari akar-akar persamaan non-linier. Bab 4 membahas metode eliminasi gauss sistem persamaan linier. Bab 5 membahas metode regresi linier data fisis. Bab 6 membahas metode interpolasi Newton data fisis. Bab 7 membahas metode integrasi numerik sistem fisika. Bab 8 membahas metode numerik persamaan diferensial biasa berorde n. Bab 9 membahas aplikasi dalam analisis numerik dan eksperimen osilator Colpitt penghasil sinyal chaos serta aplikasinya pada wireless power transfer. Bab 10 membahas aplikasi dalam analisis sirkuit autonomous Jerk penghasil sinyal chaos serta aplikasinya pada sistem keamanan komunikasi. Bab 11 membahas aplikasi dalam sirkuit nonautonomous Duffing penghasil sinyal chaos serta aplikasinya pada navigasi mobile robot berbasis Arduino. Bab 12 membahas aplikasi dalam pemodelan matematika arah kiblat trigonometri bola.



Programming For Computations Python


Programming For Computations Python
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Author : Svein Linge
language : en
Publisher: Springer
Release Date : 2016-07-25

Programming For Computations Python written by Svein Linge and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-25 with Computers categories.


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.



Solving Pdes In Python


Solving Pdes In Python
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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2017-03-21

Solving Pdes In Python written by Hans Petter Langtangen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-21 with Computers categories.


This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier–Stokes equations, and systems of nonlinear advection–diffusion–reaction equations, it guides readers through the essential steps to quickly solving a PDE in FEniCS, such as how to define a finite variational problem, how to set boundary conditions, how to solve linear and nonlinear systems, and how to visualize solutions and structure finite element Python programs. This book is open access under a CC BY license.



Programming For Computations Matlab Octave


Programming For Computations Matlab Octave
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Author : Svein Linge
language : en
Publisher: Springer
Release Date : 2016-08-01

Programming For Computations Matlab Octave written by Svein Linge and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with Computers categories.


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.



Numerical Methods In Engineering With Python


Numerical Methods In Engineering With Python
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Author : Jaan Kiusalaas
language : en
Publisher:
Release Date : 2005

Numerical Methods In Engineering With Python written by Jaan Kiusalaas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.




Numerical Methods For Scientific Computing


Numerical Methods For Scientific Computing
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Author : Kyle Novak
language : en
Publisher: Equal Share Press
Release Date : 2022-03-13

Numerical Methods For Scientific Computing written by Kyle Novak and has been published by Equal Share Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-13 with Mathematics categories.


A comprehensive guide to the theory, intuition, and application of numerical methods in linear algebra, analysis, and differential equations. With extensive commentary and code for three essential scientific computing languages: Julia, Python, and Matlab.