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Numerical Methods, Third Edition: Using MATLAB

معرفی کتاب «Numerical Methods, Third Edition: Using MATLAB» نوشتهٔ George R Lindfield; John E. T Penny، منتشرشده توسط نشر Academic Press در سال 2012. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

__Numerical Methods using MATLAB, 3e,__ 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 that have applications in the biosciences, chaos, optimization, engineering and science across the board. __Numerical Methods using MATLAB, 3e,__ is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB, 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 that have applications in the biosciences, chaos, optimization, engineering and science. * Over 500 numerical algorithms, their fundamental principles, and applications * Graphs are used extensively to clarify the complexity of problems * Includes coded genetic algorithms * Includes the Lagrange multiplier method * User-friendly and written in a conversational style

Numerical Methods using MATLAB, 3e, 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 that have applications in the biosciences, chaos, optimization, engineering and science across the board.



Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB, 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 that have applications in the biosciences, chaos, optimization, engineering and science.

  • Over 500 numerical algorithms, their fundamental principles, and applications
  • Graphs are used extensively to clarify the complexity of problems
  • Includes coded genetic algorithms
  • Includes the Lagrange multiplier method
  • User-friendly and written in a conversational style
Numerical Methods using MATLAB, 3rd 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. Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB, 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 that have applications in the biosciences, chaos, optimization, engineering and science. Over 500 numerical algorithms, their fundamental principles, and applicationsGraphs are used extensively to clarify the complexity of problemsIncludes coded genetic algorithmsIncludes the Lagrange multiplier methodUser-friendly and written in a conversational style Machine generated contents note: An Introduction to Matlab Linear Equations and Eigensystems Solution of Non-linear 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.
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