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Numerical Methods in Engineering with Python 3
Buch von Jaan Kiusalaas
Sprache: Englisch

144,95 €*

inkl. MwSt.

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Lieferzeit 2-3 Wochen

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Beschreibung
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
Über den Autor
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.
Inhaltsverzeichnis
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.
Über den Autor
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.
Inhaltsverzeichnis
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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