Introduction to Scientific Computing with MATLAB (R) and Python Tutorials
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Introduction to Scientific Computing with MATLAB (R) and Python Tutorials
Xu, Sheng
Taylor & Francis Ltd
06/2022
381
Dura
Inglês
9781032063157
15 a 20 dias
893
Descrição não disponível.
1. Overview of Scientific Computing
2. Taylor's Theorem
3. Roundoff Errors and Error Propagation
4. Direct Methods for Linear Systems
5. Root Finding for Nonlinear Equations
6. Interpolation
7. Numerical Integration
8. Numerical Differentiation
9. Initial Value Problems and Boundary Value Problems
10. Basic Iterative Methods for Linear Systems
11. Discrete Least Squares Problems
12. Monte Carlo Methods and Parallel Computing
Appendix A. An Introduction of Matlab for Scientific Computing
Appendix B. An Introduction of Python for Scientific Computing
Index
2. Taylor's Theorem
3. Roundoff Errors and Error Propagation
4. Direct Methods for Linear Systems
5. Root Finding for Nonlinear Equations
6. Interpolation
7. Numerical Integration
8. Numerical Differentiation
9. Initial Value Problems and Boundary Value Problems
10. Basic Iterative Methods for Linear Systems
11. Discrete Least Squares Problems
12. Monte Carlo Methods and Parallel Computing
Appendix A. An Introduction of Matlab for Scientific Computing
Appendix B. An Introduction of Python for Scientific Computing
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
numerical methods;Finite Difference Approximation;Taylor's Theorem;Roundoff Errors;Absolute Error;QR Decomposition;Relative Error;LS Problem;Finite Difference Method;LS Fit;True Solution;Taylor Polynomial;Buffon's Needle Problem;Definite Integral;DP Number;LTE;Euler's Method;LS Solution;Taylor Series Method;Floating Point Representation;Maclaurin Series;Horner's Method;Approximate Discrete Solution;Monte Carlo Method;Parallel Computing;Undetermined Coefficients
1. Overview of Scientific Computing
2. Taylor's Theorem
3. Roundoff Errors and Error Propagation
4. Direct Methods for Linear Systems
5. Root Finding for Nonlinear Equations
6. Interpolation
7. Numerical Integration
8. Numerical Differentiation
9. Initial Value Problems and Boundary Value Problems
10. Basic Iterative Methods for Linear Systems
11. Discrete Least Squares Problems
12. Monte Carlo Methods and Parallel Computing
Appendix A. An Introduction of Matlab for Scientific Computing
Appendix B. An Introduction of Python for Scientific Computing
Index
2. Taylor's Theorem
3. Roundoff Errors and Error Propagation
4. Direct Methods for Linear Systems
5. Root Finding for Nonlinear Equations
6. Interpolation
7. Numerical Integration
8. Numerical Differentiation
9. Initial Value Problems and Boundary Value Problems
10. Basic Iterative Methods for Linear Systems
11. Discrete Least Squares Problems
12. Monte Carlo Methods and Parallel Computing
Appendix A. An Introduction of Matlab for Scientific Computing
Appendix B. An Introduction of Python for Scientific Computing
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
numerical methods;Finite Difference Approximation;Taylor's Theorem;Roundoff Errors;Absolute Error;QR Decomposition;Relative Error;LS Problem;Finite Difference Method;LS Fit;True Solution;Taylor Polynomial;Buffon's Needle Problem;Definite Integral;DP Number;LTE;Euler's Method;LS Solution;Taylor Series Method;Floating Point Representation;Maclaurin Series;Horner's Method;Approximate Discrete Solution;Monte Carlo Method;Parallel Computing;Undetermined Coefficients
