Multiexponential fitting
I have a set of points, and I know, that analytic form should be in form of two exponents:
y(x) = a*exp(b*x)+c*exp(d*x)
I haven't found, how can I fitt two exponents yet,
could someone help me ? Should I use nonlinear least squares or something like that ?
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Relevant Pages
- Re: Large-scale large-residual nonlinear least square problem
... to solve a nonlinear least square problem. ... Therefore it is a large-scale large-residual ... implement the Levenberg-Marquardt method given in "Methods for Non- ... Linear Least Squares Problems" by K. Madsen, ...
(sci.math.num-analysis) - Re: Problem solving A*X = B
... The correspondences I have are world points and image points, ... criterion and get a nonlinear least squares problem, ... nonlinear least squares codes also offer you the possibility to be lazy ...
(sci.math.num-analysis) - Re: Large-scale large-residual nonlinear least square problem
... to solve a nonlinear least square problem. ... Therefore it is a large-scale large-residual ... implement the Levenberg-Marquardt method given in "Methods for Non- ... Linear Least Squares Problems" by K. Madsen, ...
(sci.math.num-analysis) - Re: Nonlinear Least-Squares curve-fitting
... You are trying to fit data-points to a nonlinear function by estimating ... This is called the Least Squares criterion. ... To ensure that your algorithm hits the global minimum, ...
(sci.stat.math) - Re: Nonlinear Least-Squares curve-fitting
... You are trying to fit data-points to a nonlinear function by estimating ... This is called the Least Squares criterion. ... The rest are numerical analysis problems in optimization. ... To ensure that your algorithm hits the global minimum, ...
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