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[Algorithm] global_mini DL : 0: 寻找函数的全局极小值，global minimization of contrast function with random restarts the data are assumed whitened (i.e. with identity covariance matrix). The output is such that Wopt*x are the independent sources.-Find function of the minimum value of the overall situation, global minimization of contrast function with random restarts the data are assumed whitened ( Covariance ie with identity matrix). The out put is such that Wopt* x are the independent sour ces.
Date : 2026-01-11 Size : 1kb User : 李国齐
[Algorithm] chazhiyunihe DL : 0: 插值函数, 称为被插函数. 最小二乘拟合: 已知一批离散的数据 , 互不相同,寻求一个拟合函数 ,使与的误差平方和在最小二乘意义下最小.在最小二乘意义下确定的称为最小二乘拟合函数-Interpolation function, referred to as interpolation function. Least-squares fitting: a known number of discrete data, different from each other, to find a fitting function, so that the error sum of squares and least-squares sense at a minimum. At a minimum the sense of二乘identified as the least-squares fitting function
Date : 2026-01-11 Size : 386kb User : fengyu
[Algorithm] 单纯形法Matlab程序-2016-11-17 DL : 1: 一般线性规划问题具有线性方程组的变量数大于方程个数，这时会有不定的解。当决策变量个数n和约束条件个数m较大时，单纯形法是求解线性规划问题的通用方法。从线性方程组找出一个个的单纯形，每一个单纯形可以求得一组解，然后再判断该解使目标函数值是增大还是变小了，决定下一步选择的单纯形。通过优化迭代，直到目标函数实现最大或最小值(In general linear programming problems, the number of variables with linear equations is greater than the number of equations. When the number of decision variables n and constraint number m are large, simplex method is the general method for solving linear programming problems. Find out one by one from the linear equations of the simplex, each a simplex can get a set of solution, and then concludes that the solution is the objective function value increases or smaller and decided to choose the next simplex. By optimizing iteration, until the target function achieves the maximum or minimum value.)
Date : 2026-01-11 Size : 6kb User : 刘善武
[Algorithm] 遗传算法实例 DL : 0: 用matlab展现遗传算法的计算过程。例子为求0.711*t1-0.084*(a0*t4*t1/(t2-t1+t3))+0.7*(t4-t3)+0.091*t2+0.162*(a0*t2*t4/(t2-t1+t3))这个看起来很复杂的式子的最小值,各个变量的约束条件在代码里写了出来。(Matlab is used to show the calculation process of genetic algorithm. The example is to find the minimum value of the seemingly complex formula 0.711*t1-0.084*(a0*t4*t1/(t2-t1+t3)+0.7* (t4-t3)+0.091*t2+0.162* (a0*t2*t4/(t2-t1+t3)). The constraints of each variable are written in the code.)
Date : 2026-01-11 Size : 1kb User : AdobeC