优化方法：最速下降、阻尼牛顿、共轭梯度、BFGS法 matlab程序，以求解Rosen Brock函数极小值为例

[{"title":"（ 6 个子文件 3KB ） 优化方法：最速下降、阻尼牛顿、共轭梯度、BFGS法 matlab程序，以求解Rosen Brock函数极小值为例","children":[{"title":"opt","children":[{"title":"Rosenbrock_t.m <span style='color:#111;'> 99B </span>","children":null,"spread":false},{"title":"Rosenbrock.m <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"minBFGS.m <span style='color:#111;'> 796B </span>","children":null,"spread":false},{"title":"minGE.m <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"opt_steep.m <span style='color:#111;'> 2.41KB </span>","children":null,"spread":false},{"title":"minNT.m <span style='color:#111;'> 834B </span>","children":null,"spread":false}],"spread":true}],"spread":true}]