《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 10.6 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 10.4 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 10.2 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 10.0 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 09.6 Root Finding and Nonlinear Sets of Equations 9.6 Newton-Raphson Method for Nonlinear Systems of Equations
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 09.4 Root Finding and Nonlinear Sets of Equations 9.4 Newton-Raphson Method Using Derivative
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 09.2 Root Finding and Nonlinear Sets of Equations 9.2 Secant Method, False Position Method, and Ridders’ 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 09.0 Root Finding and Nonlinear Sets of Equations 9.0 Introduction
