Description: Simply speaking, the so-called fitting refers to a function known to a number of discrete function values (f1, f2, ..., fn), by adjusting the number of undetermined coefficient function f (λ1, λ2, ..., λ3), makes the function and known points of difference (least squares significance) the smallest. To be determined if the function is linear, is called linear regression or linear regression (mainly in the statistics), otherwise known as non-linear fitting, or nonlinear regression. Expressions can also be a sub-function, this case is called spline fitting.
- [Work3_lyl] - have the right coordinates data with B-s
- [shujuku1] - C language how to prepare multiple linea
- [zhubuhuiguifenxi] - this procedure is a stepwise regression
- [CubicMultinomialRegress] - 1, one dollar three regression equations
- [1] - This is a vc6.0 console based on the Ope
- [opengl7] - Opengl binding on the hull of the functi
- [cfdandheat] - CFD and heat transfer calculation severa
- [PWM] - Analog pwm realize the brightness of lig
- [QQreg] - QQ automatically register with the sourc
- [MATlAB_non_linear_fitting] - Using matlab implementation of the known
File list (Check if you may need any files):
Download