Homework Statement
For the given set of data, find the least-square curve:
A) f(x)=Ce^Ax, by using the change of variable X=x, Y=ln(y), and C=e^B to linearize the data points.
B) f(x) = 1/(Ax+B), by using the change of variable X=x and Y = 1/y to linearize the data points.
x : [ -1 0 1...
Homework Statement
Given:
clear
n = 100;
x = 1:n;
err = randn(1,n);
mean(err);
std(err);
y = x + err;
cftool
Q - Relate your fitted to the data in y to the mean, S and SE values. You should also compare the fit results to the 95% point on the curve of the integral of the normal...
Hi!
I know the value of a function f and its first and second derivatives at different point r (1D).
I know how to fit it using only f(r) and r, but I'm sure its is possible to improve the quality/speed of the fitting by using also f'(r) and f''(r).
Is anybody have in mind a fitting algorithm...
hi, there my question is let's suppose we have the magnetization (M) versus the applied field (H) as
M(H,T)= \sum _{n=1}^{N} W(x_i ) (x_i ) Lang (H.A.x_{i}/T)
here 'A' is a constant 'T' is the temperature of system Lang(x) is the Langevin function coth(x)-1/x ,
My problem is how to...
hi, there my question is let's suppose we have the magnetization (M) versus the applied field (H) as
M(H,T)= \sum _{n=1}^{N} W(x_i ) (x_i ) Lang (H.A.x_{i}/T)
here 'A' is a constant 'T' is the temperature of system Lang(x) is the Langevin function coth(x)-1/x ,
My problem is how to...
Hi,
I've just been trying unsuccessfully to fit a polynomial to a large set of data in Matlab (1301 points). I want to fit a polynomial to the data so that I have a function with which to try and manipulate the data in different ways.
I have no problem fitting polynomials to much smaller sets...
Homework Statement
I have an equation as a function of time. (eq1) C(t) = Css + a(e^.5t) + b(e^.9t) t>0
Where, Css is a constant. then I have 6 data points of time and C (Concentration of a liquid)
1. I have to find an equation to find the maximum time and contains a, b and Css...
hi,
I am trying to do a curve fitting for a waveform obtained from the division of 2 FFT data. So, I used invfreqz in Matlab so that I can obtain the transfer function of the waveform, and at the same time, find an estimated waveform for the curve obtained. However, I can't seem to do it...
hello
having a set of points of a curve, how i can find the best quadratic bezier curve that fits this curve?
(so we have start and end points of bezier curve, and only the position of control point is required.)
THX.