I am trying to convert below matlab/octave function to C(Conven开发者_JAVA技巧tional way - understand the matlab function and code it in C from scratch). It is fitting a data to a gaussian curve using
I have a set of X-Y values (i.e. a scatter plot) and I want a Pascal routine to generate the coefficients of a Nth orde开发者_运维问答r polynomial that fits those points, in the same way that Excel do
I already asked a similar question some time ago in the following thread: previous thread. Until now I unfortunately couldn\'t entirely solve that issue and only worked around. Since it is difficult t
I need to fit with the fourier function every successive row of the matrix avoiding to use for loop. I tried to use a cell array but have no idea how to use it with fit.
I\'m using scipy.optimize.curve_fit, but I suspect it is converging to a local minimum and not the global minimum.
I have some code using csaps(), Matlab\'s cubic smoothing spline fitting function that I want to give to a student with MATLAB 7.10.0 (R2010a).
Background Provide an example of R programming. Problem Create a distribution of values that, when modeled, produces a curve that resembles:
I am exploring some data, so the first thing I wanted to do was try to fit a normal (Gaussian) distribution to it. This is my first time trying this in R, so I\'m taking it one step at a time.First I
I\'ve been trying to do this the whole day. Basically, I have a line and a point. I want the line to curve and pass through that point, but I don\'t want a smooth curve. I wan\'t to be able to define
Lets suppose I am trying to analyze an algorithm and all I can do is run it with different inputs. I can construct a set of points (x,y) as (sample size, run time).