《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.8 Minimization or Maximization of Functions 10.8 Linear Programming and the Simplex Method
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.7 Minimization or Maximization of Functions 10.7 Variable Metric Methods in Multidimensions
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.6 Minimization or Maximization of Functions 10.6 Conjugate Gradient Methods in Multidimensions
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.5 Minimization or Maximization of Functions 10.5 Direction Set（Powell’s）Methods in Multidimensions
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.4 Minimization or Maximization of Functions 10.4 Downhill Simplex Method in Multidimensions
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.3 Minimization or Maximization of Functions 10.3 One-Dimensional Search with First Derivatives
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.2 Minimization or Maximization of Functions 10.2 Parabolic Interpolation and Brent’s Method in One Dimension
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.1 Minimization or Maximization of Functions 10.1 Golden Section Search in One Dimension
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.0 Minimization or Maximization of Functions 10.0 Introduction
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 09.7 Root Finding and Nonlinear Sets of Equations 9.7 Globally Convergent Methods for Nonlinear Systems of Equations
