《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 10.9 Minimization or Maximization of Functions 10.9 Simulated Annealing Methods
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《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
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《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
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《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
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《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
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《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
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《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
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《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
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《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
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《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
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