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于 2020-08-16 发布
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代码说明:

说明:  在机器学习问题中,很多的算法归根到底就是在求解一个优化问题,然而我们的现实生活中也存在着很多的优化问题,例如道路上最优路径的选择,商品买卖中的最大利润的获取这些都是最优化的典型例子,前面也陆续地有一些具体的最优化的算法,如基本的梯度下降法,牛顿法以及启发式的优化算法(PSO,ABC等)。(In machine learning problems, many algorithms are in the final analysis to solve an optimization problem. However, in our real life, there are also many optimization problems, such as the choice of the optimal path on the road, the acquisition of the maximum profit in the sale of goods. These are typical examples of optimization. There are also some specific optimization algorithms, such as basic gradient Descent method, Newton method and heuristic optimization algorithm (PSO, ABC, etc.).)

文件列表:

simple_LS.m, 190 , 2005-12-13
quickstart.m, 9123 , 2006-04-11
regularized_norm_tradeoff.m, 1079 , 2006-02-15
simple_LP.m, 278 , 2005-12-13
simple_LP2.m, 278 , 2007-08-12

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