Conjugate gradient method is a special form of conjugate direction method, that is, the initial search direction is gradient direction. Among them, according to the different beta, can be subdivided into FR, PRP and other methods, the main reference to the folder in the contents of the four books to summarize it. In essence, the optimization algorithm is the minimal optimization, and the FR conjugate gradient method is no exception. The problem of optimization involves two important aspects: one is the direction, and the other is the step size.

FR共轭梯度法\gold.m
FR共轭梯度法\gongetidu.m
FR共轭梯度法\main.m
FR共轭梯度法\middle.m
FR共轭梯度法\search_integer.m
FR共轭梯度法\Untitled.m
FR共轭梯度法

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