Function: with BFGS algorithm solving unconstrained problem: min f (x) input: x0 is the initial point, fun, gfun respectively are the objective function and its gradient varargin is input variable parameter variable, simply call the BFGS can ignore it but if other program loop to invoke the program will take place

拟牛顿法
........\bfgs.m
........\broyden.asv
........\broyden.m
........\dfp.asv
........\dfp.m
........\hesse.m
........\sr1.asv
........\sr1.m

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