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Numerical methods in engineering with Python 3

Numerical methods in engineering with Python 3 (Loan 8 times)

Material type
단행본
Personal Author
Kiusalaas, Jaan.
Title Statement
Numerical methods in engineering with Python 3 / Jaan Kiusalaas.
Publication, Distribution, etc
Cambridge ;   New York :   Cambridge University Press,   c2013.  
Physical Medium
xi, 423 p. : ill. ; 26 cm.
ISBN
9781107033856
요약
"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"--
General Note
Includes index.  
Content Notes
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.
Subject Added Entry-Topical Term
Engineering mathematics --Data processing. Python (Computer program language).
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001 000045899849
005 20170317141736
008 170317s2013 enka 001 0 eng d
010 ▼a 2012036775
020 ▼a 9781107033856
035 ▼a (KERIS)REF000016987855
040 ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009
050 0 0 ▼a TA345 ▼b .K58 2013
082 0 0 ▼a 620.00285/5133 ▼2 23
084 ▼a 620.00285 ▼2 DDCK
090 ▼a 620.00285 ▼b K62n
100 1 ▼a Kiusalaas, Jaan.
245 1 0 ▼a Numerical methods in engineering with Python 3 / ▼c Jaan Kiusalaas.
260 ▼a Cambridge ; ▼a New York : ▼b Cambridge University Press, ▼c c2013.
300 ▼a xi, 423 p. : ▼b ill. ; ▼c 26 cm.
500 ▼a Includes index.
505 8 ▼a 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.
520 ▼a "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"-- ▼c Provided by publisher.
650 0 ▼a Engineering mathematics ▼x Data processing.
650 0 ▼a Python (Computer program language).
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 620.00285 K62n Accession No. 121239620 Availability In loan Due Date Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

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.


Information Provided By: : Aladin

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