ARCHBISHOP KAVUKATTU CENTRAL LIBRARY
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Numerical Methods in Engineering with Python 3 / Jaan Kiusalaas.

By: Material type: TextTextPublisher: Cambridge ; New York : Cambridge University Press, 2013Description: xi, 423 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781107033856
Subject(s): DDC classification:
  • 510.2855133 KIU-N
LOC classification:
  • TA345 .K58 2013
Other classification:
  • TEC009000
Online resources:
Contents:
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.
Summary: "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.
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Holdings
Item type Current library Call number Status Barcode
Reference Reference ARCHBISHOP KAVUKATTU CENTRAL LIBRARY 510.2855133 KIU-N (Browse shelf(Opens below)) Not for loan 69033
Total holds: 0

Includes bibliographical references and index.

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.

"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.

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