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Applied Numerical Methods with Python for Engineers and Scientists ISE

Specificaties
Paperback, blz. | Engels
McGraw-Hill Education | e druk, 2021
ISBN13: 9781265017965
Rubricering
McGraw-Hill Education e druk, 2021 9781265017965
€ 88,55
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Samenvatting

Applied Numerical Methods with Python, 1st Edition is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so that students come away with insight into the techniques and their shortcomings. If you’ve ever used Applied Numerical Methods for MATLAB, you’ll find transitioning to this Python program seamless! No prior experience with Python is required. 

McGraw Hill Connect, is available with this title. In addition to providing the MHeBook, Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect enables professors to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work.

Specificaties

ISBN13:9781265017965
Taal:Engels
Bindwijze:paperback

Inhoudsopgave

<p>1 Mathematical Modeling, Numerical Methods, and Problem Solving<br/>2 MATLAB Fundamentals<br/>3 Programming with MATLAB<br/>4 Roundoff and Truncation Errors<br/>5 Roots: Bracketing Methods<br/>6 Roots: Open Methods<br/>7 Optimization<br/>8 Linear Algebraic Equations and Matrices<br/>9 Gauss Elimination<br/>10 LU Factorization<br/>11 Matrix Inverse and Condition<br/>12 Iterative Methods<br/>13 Eigenvalues<br/>14 Linear Regression<br/>15 General Linear Least-Squares and Nonlinear Regression<br/>16 Fourier Analysis<br/>17 Polynomial Interpolation<br/>18 Splines and Piecewise Interpolation<br/>19 Numerical Integration Formulas<br/>20 Numerical Integration of Functions<br/>21 Numerical Differentiation<br/>22 Initial-Value Problems<br/>23 Adaptive Methods and Stiff Systems<br/>24 Boundary-Value Problems</p><p>Appendix A: Matplotlib<br/>Appendix B: Cubic Spline Smoothing<br/>Appendix C: Python Built-in Keywords: Functions, Methods, Operators, Types<br/>Appendix D: Python Functions and Scripts Presented in the Text<br/>Bibliography<br/>Index<br/>Accessibility Content: Text Alternatives for Images</p>
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        Applied Numerical Methods with Python for Engineers and Scientists ISE