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Numerical methods in engineering wit...
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Kiusalaas, Jaan
Numerical methods in engineering with Python 3
紀錄類型:
書目-語言資料,印刷品 : 單行本
作者:
KiusalaasJaan,
出版地:
Cambridge
出版者:
Cambridge University Press;
出版年:
2013
面頁冊數:
xi, 423 p.ill. : 27 cm.;
標題:
Engineering mathematics - Data processing -
標題:
Python (Computer program language) -
電子資源:
http://www.loc.gov/catdir/enhancements/fy1302/2012036775-b.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy1302/2012036775-d.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy1302/2012036775-t.html
附註:
Includes bibliographical references and index
摘要註:
"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"--Provided by publisher
ISBN:
978-1-107-03385-6
內容註:
Machine generated contents note: 1. Introduction to Python; 2. Systems of linear algebraic equations; 3. Interpolation and curve fitting; 4. Roots of equations; 5. Numerical differentiation; 6. Numerical integration; 7. Initial value problems; 8. Two-point boundary value problems; 9. Symmetric matrix eigenvalue problems; 10. Introduction to optimization
Numerical methods in engineering with Python 3
Kiusalaas, Jaan
Numerical methods in engineering with Python 3
/ Jaan Kiusalaas - Cambridge : Cambridge University Press, 2013. - xi, 423 p. ; ill. ; 27 cm..
Machine generated contents note: 1. Introduction to Python; 2. Systems of linear algebraic equations; 3. Interpolation and curve fitting; 4. Roots of equations; 5. Numerical differentiation; 6. Numerical integration; 7. Initial value problems; 8. Two-point boundary value problems; 9. Symmetric matrix eigenvalue problems; 10. Introduction to optimization.
Includes bibliographical references and index.
ISBN 978-1-107-03385-6ISBN 1-107-03385-3
Engineering mathematicsPython (Computer program language) -- Data processing
Numerical methods in engineering with Python 3
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