已回答
Fsolve- equation solved, inaccuracy [possible
a set of approximate solutions： x1 0.0999971283199049 x2 -0.0143540751799935 x3 -1439252.41946883 x4 1439902.41946883 x5 -5...

5 years 前 | 0

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how to set initial guesses in Curve fitting to avoid the local minimum?
Experience + luck, no any other perfect way to set initial guesses. Another suggestion is to use some solvers which adopte glob...

5 years 前 | 0

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Curve fitting toolbox giving different answer to custom function?
Hi, AlexAS, I get the global solution as fellow: Root of Mean Square Error (RMSE): 23.9947153172582 Sum of Squared Residual:...

5 years 前 | 0

已回答
How to fit experimental data on only one ordinary differential equations (out of multiple equations) with multiple unknown parametrs
How about the results below: Root of Mean Square Error (RMSE): 2.11836006576677 Sum of Squared Residual: 40.3870443141185 Cor...

5 years 前 | 0

已回答
Nonlinear fit comparison - Matlab vs OriginLab
The global solution looks like below: Root of Mean Square Error (RMSE): 1.42818042380826 Sum of Squared Residual: 10.198496614...

5 years 前 | 0

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lsqcurvefit initial values stays the same
Have a look the results below, it is curve fitting of complex function: Root of Mean Square Error (RMSE): 0.41174673299835 Sum...

5 years 前 | 0

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已回答
My gamultobj nonlinear constraints are being ignored
The global solution: Objective Function (Min.): 680.630057374403 x1: 2.33049949480739 x2: 1.95137240931401 x3: -0.4775410075...

5 years 前 | 0

已回答
Bad fitting result using lsqcurvefit
Baron, LingoGlobal, Antigone, 1stOpt, those packages don't need to guess starting-values anymore, but with much better outcomes....

5 years 前 | 0

已回答
Multi Objective nonlinear functions with unknown multi parameters
There are multi-solutions: 1: x1: 0.387245311047365 x2: -0.00972723068513297 x3: -40.2902696169456 x4: 18.9579782048437 x5...

5 years 前 | 0

已回答
Fit differential equation to a curve
Here the answers: k1 0.0094812101885331 k2 0.0140787217305701

5 years 前 | 0

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how to fit 3d points with a non linear curve?
How about the fit function fellow: z = p1*exp(-0.5*(((x-p2)/p3)^2))+p4*exp(-0.5*(((y-p5)/p6)^2))+p7 Root of Mean Square Error ...

5 years 前 | 1

| 已接受

已回答
What exactly is a StartPoint for a Curve Fitting Tool, its significance and how it works?
Curve fitting problems are actually optimization problems. The optimization algorithms used in curve fitting function (i.e. nlin...

5 years 前 | 1

已回答
Solving system of three non linear equations??
There are multi-solutions: No. x1 x2 x3 1 200 -1.99488627715356E-26 7.80083304370558E-9 2 200.000000001348 6.28318530721954 -...

5 years 前 | 0

已回答
Multi Variable Non-linear Curve Fitting in MATLAB
Hi, Fahd , refer to the results below： Root of Mean Square Error (RMSE): 1.09231944926872 Sum of Squared Residual: 1355.431781...

5 years 前 | 0

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Solving trigonometric non-linear equations in MATLAB
For the numerical calculation, there are infinitely solutions: No. x y z 1 -0.555653038054963 5.06016630687609 -92.05890654406...

5 years 前 | 0

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Problem of Nonlinear Regression
Hi, Kim, if take time t as x, temperature T as y, your model function looks like: y=t1+(x0/(1-exp(-c+b*x))-1)/a; However, you...

5 years 前 | 0

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已回答
how to find the best curve fit for a set of data
this function is good enough: y = p1/(1+p2*exp(-p3*x))+p4; Root of Mean Square Error (RMSE): 3.46432941573129 Sum of Squared ...

5 years 前 | 0

已回答
solving 5 non linear simultaneous equation
one more solution: h: 10985.2739483926 bsfc: 1154.64304691955 k: 71.7260719049847 a: 11.9021369375982 b: 0.0167429176020812...

5 years 前 | 0

已回答
solving 5 non linear simultaneous equation
Look this result: h: -4113.26496133792 bsfc: -432.338129213572 k: 67.8689272162873 a: -18.7135929756326 b: -0.0604868803921...

5 years 前 | 0

已回答
Solving non-linear equations (0)
try numerical solution: lamda1: 1.48312225679967E-24 qp1: 54185.6537859035 qn1: -133.888674663691 qc1: 0.188502621518643 qk...

5 years 前 | 0

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How to curve fit an equation with sigma function
Hi, where are the values of Z?

5 years 前 | 1

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Need to solve this
Hi， How about the results belows: a: 214.703486863113 b: -10.7034868631133 c: -0.00690634104047918

5 years 前 | 0

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How to fit a curve to a step function?
Hi, Swati, the model function below seems to be good: Root of Mean Square Error (RMSE): 0.0112392378141364 Sum of Squared Re...

5 years 前 | 0

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How to fit a curve to a step function?
If possible, provide your data please!

5 years 前 | 0

已回答
Equation of nonlinear data
The model function below is good enough, also very simple: rA = 1/(p1+p2*x); Root of Mean Square Error (RMSE): 0.0002191789906...

5 years 前 | 0

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Line search algorithm: nonlinear least squares method for fitting experimental data to a model
Hi, Kaouthar, the code changed to fellow, it ensures all parameters are postive, and the label of x_axis is your true xdata. How...

5 years 前 | 0

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已回答
How can I forecast an integer related to other 5 numbers?
Use the model function below: y = p1+p2*x1*x2+p3*x1*x3+p4*x1*x4+p5*x1*x5+p6*x2*x3+p7*x2*x4+p8*x2*x5+p9*x3*x4+p10*x3*x5+p11*x4*x...

5 years 前 | 0

已回答
solve a non-linear least squares problem
only need to free the range of parameter "g" while keep other parameter ranges as originly, the result should be very good: Roo...

5 years 前 | 0

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Fitting Question
How about the function below: y=y0+A*exp(-0.5*((x-xc)/w)^2)+A1*exp(-exp(-(x-xc1)/w1)-(x-xc1)/w1+1); Root of Mean Square Error ...

5 years 前 | 0

已回答
2D data fitting - Surface
The follow equation seems to be good, and simple enough: z = (x^0.5)^(p1/(1+y))+p2*x*y; Root of Mean Square Error (RMSE): 0.0...

5 years 前 | 1