资源列表
Gaussian-Elimination
- 高斯消去的FORTRAN程序，能直接调用，希望有用-Gaussian elimination of the FORTRAN program, directly calling the hope that useful
2_Dkalman
- 二维的卡尔曼滤波fortran程序，希望对大家有用-Two-dimensional Kalman filtering fortran program, we hope to be useful
Linear-Prediction-algorithms
- very good tutorial on Levinson Durbin Recusrsion
adaptive2
- - RLS APPROACHES/ techniques-- RLS APPROACHES/ techniques
work2kalman1
- 经典卡尔曼滤波，适合学习，不错。运行有结果。-kalman filter
kalman
- 详细介绍卡尔曼滤波，并在实际例子中运行，结果。-Details of Kalman filtering, and practical examples in the run results.
Correlationmiss
- Correlation coefficient r between two series x(i) and y(i) with missing data, where i=1,...,n. input: x(n),y(n),undef undef is missing data however, if ax or sx is still undefined, it will be -9.99e33 whatever the input undef is. output: r an
change
- 数值，a,b数字转换，附带提示框上的数值转换-Value, a, b-digital converter, with boxes on the value of conversion
REOF
- A. STATISTICAL ANALYSIS EMPIRICAL ORTHOGONAL FUNCTIONS (EOF s) AND ROTATED EMPIRICAL ORTHOGONAL FUNCTIONS (REOF s) -By Dr. Jianping Li and Dong Xiao, Jul. 17, 2006.
RUNGE-KUTTA
- THE FOLLOWING SUBROUTINES ARE FOR FIXED STEPSIZE EXPLICIT RUNGE-KUTTA METHODS OF ORDERS FROM 1 TO 6. THESE SUBROUTINES ARE TO CALCULATE NUMERICAL SOLUTION OF AN AUTONOMOUS SYSTEM OF FIRST ORDER ORDINARY DIFFERENTIAL EQAUTIONS Y =F(Y).-By Dr
Scrosspectrum
- Subroutine for continuous cross spectrum analysis of two one-dimensional series x(i) and y(i) (i=1,...,n). Input parameters and arrays: n,m, x(n), y(n), n: number of data m: biggest lag time length. Generally, m is between n/3 and n/10.
Rubik-print
- Rubik s Cube. Algorithms, compositions, visual simulator.