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Numerical methods in engineering with Python 3 /Jaan Kiusalaas.

By: Material type: TextTextPublication details: Cambridge : Cambridge University Press, (c)2013.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139626163
  • 9781139611282
  • 9781139523899
  • 9781139613149
  • 9781139616867
Subject(s): Genre/Form: LOC classification:
  • TA345 .N864 2013
Online resources: Available additional physical forms:
Contents:
Systems of linear algebraic equations -- Interpolation and curve fitting -- Roots of equations -- Numerical differentiation -- Numerical integration -- Initial value problems -- Two-point boundary value problems -- Symmetric matrix eigenvalue problems -- Introduction to optimization.
Subject: "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"--
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Holdings
Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE Non-fiction TA345 (Browse shelf(Opens below)) Link to resource Available ocn827944754

"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"--

Includes bibliographies and index.

Introduction to Python -- Systems of linear algebraic equations -- Interpolation and curve fitting -- Roots of equations -- Numerical differentiation -- Numerical integration -- Initial value problems -- Two-point boundary value problems -- Symmetric matrix eigenvalue problems -- Introduction to optimization.

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