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.
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
Jaan Kiusalaas is a Professor Emeritus in the Department of Engineering Science and Mechanics at Pennsylvania State University. He has taught computer methods, including finite element and boundary element methods, for more than thirty years. He is also the co-author or author of four books – Engineering Mechanics: Statics, Engineering Mechanics: Dynamics, Mechanics of Materials, Numerical Methods in Engineering with MATLAB, 2nd edition, and two previous editions of Numerical Methods in Engineering with Python.
'… a practical introduction, pushing the theory as far in the
background as possible.' The European Mathematical Society
(euro-math-soc.eu)
'This book is nicely focused on the most frequently encountered
types of numerical problems that scientists and engineers usually
face and the most common and robust algorithms for solving them.
The text is just the right size for a semester-long course for
upper-division undergraduates or first-year graduate students …
this is a well-written text that is logically organized,
attractively presented, and supported with challenging problems.'
Anthony J. Duben, Computing Reviews
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