KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,

新版的求解L1范数最小化问题的凸优化工具包-new version for solve L1-norm minimization problem of convex optimization

正则化(regularization)，是指在线性代数理论中，不适定问题通常是由一组线性代数方程定义的，而且这组方程组通常来源于有着很大的条件数的不适定反问题。大条件数意味着舍入误差或其它误差会严重地影响问题的结果。-Regularization, in mathematics and statistics and particularly in the fields of machine learning and inverse problems, refers to a process of

关于范数有界的鲁棒控制系统的控制，取得良好控制效果-Robust control systems on the control of norm-bounded, and achieved good control effect