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压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数-Compression bag contains unconstrained optimiz
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改进的最速梯度下降法，优于数值优化，matlab实现-Improved the speed gradient descent method, which is higher than that of numerical optimization
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example of implementation of gradient descent algorithm in matlab
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线性感知机，机器学习相关，基于matlab仿真-Files included in this exercise
ex1.m- Octave scr ipt that will help step you through the exercise
ex1 multi.m- Octave scr ipt for the later parts of the exercise
ex1data1.txt- Dataset for linear regression with one vari
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使用最速下降法和共轭梯度法实现优化功能，基于MATLAB平台使用m语言编写(Based on the MATLAB platform, steepest descent method and conjugate gradient method are used to achieve the optimization function with M language.)
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