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200 10$aNumerical methods in engineering with Python 3 /$fJaan Kiusalaas$b[electronic resource]
205   $aThird edition.
210  1$aCambridge :$cCambridge University Press,$d2013.
215   $a1 online resource (xi, 423 pages) $cdigital, PDF file(s)
300   $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
311   $a1-107-03385-3 
327   $aMachine 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.
330   $aThis 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 MATLABŪ 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.
606   $aEngineering mathematics$xData processing
606   $aPython (Computer program language)
615  0$aEngineering mathematics$xData processing.
615  0$aPython (Computer program language)
676   $a620.00285/5133
686   $aTEC009000$2bisacsh
700   $aKiusalaas$b Jaan$0509150
801  0$bUkCbUP
801  1$bUkCbUP
906   $aBOOK
912   $a9910827896803321
996   $aNumerical methods in engineering with Python 3$94054645
997   $aUNINA