Provides an introduction to numerical methods for students in engineering courses. This book covers the 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 (R) in readability and ease of use.
Provides an introduction to numerical methods for students in engineering courses. This book covers the 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 (R) in readability and ease of use.
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.
Inhaltsangabe
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.
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.
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