Numerical methods: using MATLAB
by Lindfield, G. R., (Lindfield, George) Penny, J. E. T., (Penny, John)
Numerical Methods using MATLAB, 3 rd edition is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems which have applications in the biosciences, chaos, optimization, engineering and science across the board.
Read More ↓Title Statements
- Full title :Numerical methods : using MATLAB / G.R. Lindfield, J.E.T. Penny
Summary
Numerical Methods using MATLAB, 3 rd edition is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems which have applications in the biosciences, chaos, optimization, engineering and science across the board.
Read More ↓Edition Statements
- Publication Date:©2012
- Edition:3. ed
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:Amsterdam
- Language:eng
- Publication Date:©2012
Notes
An Introduction to Matlab. Linear Equations and Eigensystems. Solution of Nonlinear Equations. Differentiation and Integration. Solution of Differential Equations. Boundary Value Problems. Fitting Functions to Data. Optimization Methods. Applications of the Symbolic Toolbox. Appendix A Matrix Algebra. Appendix B. Error Analysis
The Physical Object
- Description:xviii, 534 s
Edition Identifiers
- ISBN:9780123869425, 0123869420
- oclc:ocn825991453
- Dewey Decimal:001.420285
Table of Contents
An Introduction to Matlab Linear Equations and Eigensystems Solution of Nonlinear Equations Differentiation and Integration Solution of Differential Equations Boundary Value Problems Fitting Functions to Data Optimization Methods Applications of the Symbolic Toolbox Appendix A -- Matrix Algebra Appendix B -- Error Analysis Solutions to Selected Problems Bibliography Index.
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