hannah-zhou Goto Github PK
Name: Ruihan Zhou
Type: User
Company: Peking University
Bio: Fighting :)
Location: Beijing, P.R. China
Name: Ruihan Zhou
Type: User
Company: Peking University
Bio: Fighting :)
Location: Beijing, P.R. China
本算法包实现1-D非线性方程求解功能。使用每个算法都具有类似的流程,算法也将给出不同的结果,包括迭代分析、停机分析、结果显示与收敛性误差绘图。详情请见【readme.txt】。】
Official codes for "AlphaRank: a General Artificial Intelligence Framework for Ranking and Selection Problems"
数据结构中的一些算法实现
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Kaggle上的一个入门比赛:Titanic:Machine Learning from Disaster。本仓库包含全部流程的解释及py代码。(最终score0.77272)
包含KNN,感知机,多层感知机,聚类分析等源代码
采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解
非线性优化主要算法的Matlab程序,有精确线搜索的0.618法和抛物线法, 非精确线搜索的Armijo准则, 最速下降法, 牛顿法, 共轭梯度法, BFGS 算法, DFP 算法, Broyden 族方法, 信赖域方法, 求解非线性最小二乘问题的L-M算法, 解约束优化问题的乘子法, 求解二次规划的有效集法, SQP 子问题的光滑牛顿法以及求解约束优化问题的SQP方法等. 程序基本通用.
本算法包包含外点罚函数法,增广Lagrange乘子法两种算法,使用说明及参数设置请见【readme.txt】。
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