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Numerical Analysis and Optimization下载
weixin_39820835
2019-06-26 12:30:15
作者:Gregoire Alloire
斯坦福教材
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Numerical Analysis and Optimization下载
作者:Gregoire Alloire 斯坦福教材 相关下载链接://download.csdn.net/download/xiaoe881023/2670184?utm_source=bbsseo
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Numeric
al
An
al
ysis
and
Optimization
这是关于数值分析与优化的电子书,高清,最新版本,经典著作,英文版
Advances in
Optimization
and
Numeric
al
An
al
ysis
该文档主要囊括了近年大家常用的优化方法来进行优化处理
Numeric
al
Optimization
Optimization
is an important tool used in decision science and for the
an
al
ysis
of physic
al
systems used in engineering. One can trace its roots to the C
al
culus of Variations and the work of Euler and Lagrange. This natur
al
and reasonable approach to mathematic
al
programming covers
numeric
al
methods for finite-dimension
al
optimization
problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained
optimization
.
numeric
al
optimization
Optimization
is an important tool used in decision science and for the
an
al
ysis
of physic
al
systems used in engineering. One can trace its roots to the C
al
culus of Variations and the work of Euler and Lagrange. This natur
al
and reasonable approach to mathematic
al
programming covers
numeric
al
methods for finite-dimension
al
optimization
problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained
optimization
.
Applied
Numeric
al
Methods with MATLAB for Engineers and Scientists
Title: Applied
Numeric
al
Methods with MATLAB for Engineers and Scientists, 4th Edition Author: Steven Chapra Length: 720 pages Edition: 4 Language: English Publisher: McGraw-Hill Education Publication Date: 2017-02-06 ISBN-10: 0073397962 ISBN-13: 9780073397962 Table of Contents Part One: Modeling, Computers, and Error
An
al
ysis
Chapter 1 Mathematic
al
Modeling,
Numeric
al
Methods, and Problem Solving Chapter 2 MATLAB Fundament
al
s Chapter 3 Programming with MATLAB Chapter 4 Roundoff and Truncation Errors Part Two: Roots and
Optimization
Chapter 5 Roots: Bracketing Methods Chapter 6 Roots: Open Methods Chapter 7
Optimization
Part Three: Linear Systems Chapter 8 Linear
Al
gebraic Equations and Matrices Chapter 9 Gauss Elimination Chapter 10 LU Factorization Chapter 11 Matrix Inverse and Condition Chapter 12 Iterative Methods Chapter 13 Eigenv
al
ues Part Four: Curve Fitting Chapter 14 Linear Regression Chapter 15 Gener
al
Linear Least-Squares and Nonlinear Regression Chapter 16 Fourier
An
al
ysis
Chapter 17 Polynomi
al
Interpolation Chapter 18 Splines and Piecewise Interpolation Part Five: Integration and Differentiation Chapter 19
Numeric
al
Integration Formulas Chapter 20
Numeric
al
Integration of Functions Chapter 21
Numeric
al
Differentiation Part six: Ordinary Differenti
al
Equations Chapter 22 Initi
al
-V
al
ue Problems Chapter 23 Adaptive Methods and Stiff Systems Chapter 24 Boundary-V
al
ue Problems Appendix A: Matlab Built-In Functions Appendix B: Matlab M-File Functions Appendix C: Introduction To Simulink
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