Questions tagged [curve-fitting]

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Error on the fit parameters when several good fits exist

I am using the reduced chi-squared statistic to determine the goodness of fit. I run several simulations and determine that a parameter 'p' has a certain range of values that all give values between 0....
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1answer
63 views

What is a good library in Python for correlated fits in both the $x$ and $y$ data?

I have $x$ and $y$ data, both of which have their own covariance matrices. scipy.optimize.curve_fit will accept a covariance matrix for the $y$ data, called ...
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27 views

Fit exponential convergence

I'm working with a numerical algorithm whose output $y$ asymptotically approaches a certain unknown value $a$. I expect an exponential convergence, i.e. the data $y$ given by my algorithm should be ...
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2answers
64 views

identifying peaks in data

I have data with peaks on some background, for example: The two prominent peaks at ~390 and ~450, as well as the much smaller peak at ~840. What are some options to programmatically find the position ...
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1answer
62 views

How to check experimental data against a theoretical curve? (Python)

I am trying to check the agreement of a dataset against a theoretical curve, specifically a bandstop filter in an RLC circuit. I have generated a function which describes the curve we expect from the ...
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1answer
44 views

Gnuplot: How can I determine the maxima of a fit function in gnuplot?

I have a set of data data.txt which can be fit to a Gaussian function, f(x). I want to determine the coordinates of the point of ...
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1answer
41 views

Gnuplot: How can I fit a range of points (out of the entire data) to a function?

I have a set of data obtained for the I-V characteristics of an LED. ...
2
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2answers
107 views

What equation should I fit this set of data points to?

I have done an experiment Estimation of silver nitrate by potentiometric titration with standard KCl solution. A plot of $\dfrac{\Delta E}{\Delta V}$ versus Volume of KCl solution gives the ...
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1answer
818 views

Numpy.polyfit with regularization

I am trying to use the numpy polyfit method to add regularization to my solution. My non-regularized solution is ...
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2answers
52 views

Finding parameters numerically

I suspect that a function $f(x,y)$ is of the form $f(x,y)=a(bx+c)^{dy+e}$. I have access to several values of $f(x,y)$. How do I proceed numerically to find the parameters $\{a,b,c,d,e\}$? By ...
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0answers
47 views

Fit constant term in LM algorithm

I'm using the Levenberg-Marquardt algorithm to fit my data with a Gaussian function: $$ f(x)=a\cdot e^{-\frac{(x-c)^2}{2\sigma^2}}+f_0 $$ $a$, $c$, $\sigma$ and $f_0$ are the fitting parameters. The ...
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1answer
127 views

Least square with rectangular function

I have the function $c(t) = A \cdot \cos \left(\dfrac{2\pi}{\tau} \cdot t + \phi \right) $ which is used to define $ T(t) = \begin{cases} M + c(t), & c(t) > 0 \\ M, &c(t) \leq 0. \end{...
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3answers
470 views

Fitting Implicit Surfaces to Oriented Point Sets

I have a question regarding quadric fit to a set of points and corresponding normals (or equivalently, tangents). Fitting quadric surfaces to point data is well explored. Some works are as follows: ...
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1answer
323 views

matlab lsqcurvefit parameter estimation journey

The lsqcurvefit solution in matlab converges at different solutions depending upon the initial guess: Surface represents the error (SSE) between model and data at various combinations of parameters ...
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2answers
172 views

Optimization of known function with respect to two unknown function arguments

I have a data set, composed of points $(x_i, y_i)$ for $i=1,N$. I also have a known function $F$, which maps these points $x_i$ to $y_i$ as such $F(x_i, a(x_i),b(x_i)) = y_i$, where $a(x_i)$ and $b(...
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3answers
125 views

Choice of solver/software for global optimisation of cheap black-box function with known derivatives

I am trying to estimate a few unknown parameters of my continuous non-linear PDAE model (simulated through finite-volume method spatial discretisation, and time-stepping through method-of-lines). I am ...
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3answers
1k views

Fit best polygon to a discrete contour

I have a discrete contour represented by a set of points. The contour looks like a polygon but if you zoom you see that the edges are rugged (that's because it was obtained while working on a finite ...
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1answer
85 views

Post-processing the noisy results of numerical simulation

I have the following curve, which is calculated on a large number of points and shows smooth behaviour when viewed from distance. However, the derivative (shown below) exhibits artificial ...
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2answers
117 views

Finding an enclosing parabola for a set of points

I am looking for an algorithm that fits a parabola to a set of data points. However, no data point may be below the parabola. All points must be above the parabola. Is there an standard algorithm for ...
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1answer
573 views

Curve fitting for oscillating data

This is my first question. I have the following data that I'd like to approximate as a parametric function: \begin{align} y = a + (bx_1 + cx_2 + dx_3 + ex_1x_2 + fx_1x_3 + gx_2x_3 + hx_1x_2x_3 + i)*(...
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3answers
739 views

Fitting with a linear combination of exponentials

I want to elaborate on a statement I read in Acton's "Numerical methods that work", paragraph "Exponential fitting", page 252. Computationally we are being asked to fit only the parameters $A$ and $...
2
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1answer
405 views

Pseudo Code for non linear power function fit needed

I am struggling finding pseudo Code for a non-linear fit of the following function: $y = a\, x^b$ Package NLS in R does perform well, but utilizing external software is not practicable in my program ...
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1answer
106 views

Fit curve with rectangles

I have a one-dimensional set of points, i.e. $(n,y_n), 1\leq n \leq N$. I want to fit them with a linear combination of $k$ rectangular functions in a least-squared-error sense. Each rectangle is ...
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1answer
180 views

Question on speed and accuracy comparisons of different 2D curve fitting methods

This may be a trivial question, and I apologize if so. Consider the following simple problem: We have a 2D, regular grid of points (say $X = [0,5000] \times [0,5000]$) spaced uniformly by units of 1 (...
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1answer
232 views

Problems Implementing the Remez Algorithm

So first off: *** This code is not being used in production software. It is a personal project of mine, trying to understand approximation theory and advanced curve fitting. In other words, I'm ...
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0answers
48 views

Inverted value is not consistent with expectation

We have a group of observations $$y = f(x_1, x_2, x_3) \enspace .$$ We have also a forward model $y = f(x_1, x_2)$. The forward model does not include $x_3$ because $x_3$ might include dozens of ...
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0answers
135 views

1D fit on a surface in matlab

I have a problem fitting a $N\times N$ ($32\times 32$ in this case) matrix in Matlab. Here is the deal I have this image, and I want to create 1 dimensional fit between the points and then be able ...
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1answer
237 views

Curve Fitting problem MATLAB

I have a system of differential equations with some unknown parameters and I need to find the optimal parameter set that fits best with the data I have. For each parameter set choice (using for loops)...
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1answer
489 views

Power series regression linear fit in VBA excel

I wrote a program that calculates the best fit in VBA excel for the following model $$ y_k=c_1x_k+c_0+c_{-1}(x_k)^{-1} $$ solving for the best fit parameters $c_1$, $c_0$, and $c_{-1}$. However I ...
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0answers
105 views

How to curve fit an unknown function?

I have data which can be described by $y=f(x,z)$ where $z$ varies from 170 ~ 154. Now values given by $ks$ are known sample values that equals value given in the table header, $uks$ are unknown ...
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1answer
201 views

Conceptual question about fitting of scattered data

What are the problems that arise when fitting (2D or 3D) a set of scattered data? (non uniformly distributed) I had some data I had to fit and I solved the problem using the ...
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0answers
2k views

Piecewise linear approximation of an experimental data curve. Knots position constrained

I need to fit a curve, obtained from experimental data, with a piecewise linear model (4 knots and therefore 3 lines). I tried using the MATLAB function ...
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1answer
218 views

How to connect two fitted B-spline curve?

I use B-spline curve fitting to obtain one smooth curve. If I obtain two smooth B-spline , how can I connect then smoothly. For example, I have 59 points((x0,y0,z0),...,(x58, y58, z58)) and I have two ...
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1answer
335 views

Number of control points for B-spline curve

I am trying to use B spline curve fitting. The order of B-spline curve is 4. When I have many control points, it works well. However if the number of control points is small such as two, my program ...
2
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0answers
129 views

Produce one smooth curve on one triangle mesh

I hope to get one smooth curve on one triangle mesh. I get one path on the mesh at first. The path consists of vertices of the mesh. I can see the path from the image below. Each one green dot ...
4
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1answer
81 views

Finding self-similar solutions

Is there a general approach to finding self-similar solutions; i.e. collapsing several functions onto a single function by some transformation? I have data from some experiments, and the functions ...