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EOF
- 经验正交函数分解 Empirical Orthogonal Functions (EOF s) eof(m,n,mnl,f,ks,er,egvt,ecof) 求时空场f(m,n)的特征向量egvt(m,mnl),时间系数ecof(mnl,n),特征值er(mnl,1),累积特征值er(mnl,2),解释方差er(mnl,3),累积解释方差er(mnl,4) -Empirical orthogonal function decomposition of Empirical O
ks
- Knapsack dynamic and Pissinger Code
ks
- KS2D1S K-S test in two dimensions, data vs. model (14.7) KS2D2S K-S test in two dimensions, data vs. data (14.7)-numerical recipes
KS_扰动_后向差分数值解
- 用python求解偏微分方程KS方程,用于混沌系统预测(solve PDE by python and use the data to predict chaotic)
