Answered

Damped harmonic motion curve fit

The fellow results are little better. Parameter Best Estimate ---------- ------------- b1 -1.36099782974822 b2 -599.11082464...

Damped harmonic motion curve fit

The fellow results are little better. Parameter Best Estimate ---------- ------------- b1 -1.36099782974822 b2 -599.11082464...

3 years ago | 0

Answered

Parameter identification with nlgreyest

Hi, would you please attach your data.

Parameter identification with nlgreyest

Hi, would you please attach your data.

3 years ago | 0

Answered

Data fitting to the solution of coupled differential equation with all the different parameters.

Hi, Vira Roy, attached your data please, if possible.

Data fitting to the solution of coupled differential equation with all the different parameters.

Hi, Vira Roy, attached your data please, if possible.

3 years ago | 0

Answered

distribution fitting to data

Hi, you could try the combination of three Gauss function like below Root of Mean Square Error (RMSE): 2.2458311950253 Sum of ...

distribution fitting to data

Hi, you could try the combination of three Gauss function like below Root of Mean Square Error (RMSE): 2.2458311950253 Sum of ...

3 years ago | 0

Answered

Fsolve- equation solved, inaccuracy [possible

a set of approximate solutions： x1 0.0999971283199049 x2 -0.0143540751799935 x3 -1439252.41946883 x4 1439902.41946883 x5 -5...

Fsolve- equation solved, inaccuracy [possible

a set of approximate solutions： x1 0.0999971283199049 x2 -0.0143540751799935 x3 -1439252.41946883 x4 1439902.41946883 x5 -5...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

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:...

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:...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

| accepted

Answered

My gamultobj nonlinear constraints are being ignored

The global solution: Objective Function (Min.): 680.630057374403 x1: 2.33049949480739 x2: 1.95137240931401 x3: -0.4775410075...

My gamultobj nonlinear constraints are being ignored

The global solution: Objective Function (Min.): 680.630057374403 x1: 2.33049949480739 x2: 1.95137240931401 x3: -0.4775410075...

3 years ago | 0

Answered

Bad fitting result using lsqcurvefit

Baron, LingoGlobal, Antigone, 1stOpt, those packages don't need to guess starting-values anymore, but with much better outcomes....

Bad fitting result using lsqcurvefit

Baron, LingoGlobal, Antigone, 1stOpt, those packages don't need to guess starting-values anymore, but with much better outcomes....

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

Fit differential equation to a curve

Here the answers: k1 0.0094812101885331 k2 0.0140787217305701

Fit differential equation to a curve

Here the answers: k1 0.0094812101885331 k2 0.0140787217305701

3 years ago | 0

Answered

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 ...

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 ...

3 years ago | 1

| accepted

Answered

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...

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...

3 years ago | 1

Answered

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 -...

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 -...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

| accepted

Answered

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 ...

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 ...

3 years ago | 0

Answered

solving 5 non linear simultaneous equation

one more solution: h: 10985.2739483926 bsfc: 1154.64304691955 k: 71.7260719049847 a: 11.9021369375982 b: 0.0167429176020812...

solving 5 non linear simultaneous equation

one more solution: h: 10985.2739483926 bsfc: 1154.64304691955 k: 71.7260719049847 a: 11.9021369375982 b: 0.0167429176020812...

3 years ago | 0

Answered

solving 5 non linear simultaneous equation

Look this result: h: -4113.26496133792 bsfc: -432.338129213572 k: 67.8689272162873 a: -18.7135929756326 b: -0.0604868803921...

solving 5 non linear simultaneous equation

Look this result: h: -4113.26496133792 bsfc: -432.338129213572 k: 67.8689272162873 a: -18.7135929756326 b: -0.0604868803921...

3 years ago | 0

Answered

Solving non-linear equations (0)

try numerical solution: lamda1: 1.48312225679967E-24 qp1: 54185.6537859035 qn1: -133.888674663691 qc1: 0.188502621518643 qk...

Solving non-linear equations (0)

try numerical solution: lamda1: 1.48312225679967E-24 qp1: 54185.6537859035 qn1: -133.888674663691 qc1: 0.188502621518643 qk...

3 years ago | 0

Answered

How to curve fit an equation with sigma function

Hi, where are the values of Z?

How to curve fit an equation with sigma function

Hi, where are the values of Z?

3 years ago | 1

Answered

Need to solve this

Hi， How about the results belows: a: 214.703486863113 b: -10.7034868631133 c: -0.00690634104047918

Need to solve this

Hi， How about the results belows: a: 214.703486863113 b: -10.7034868631133 c: -0.00690634104047918

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

How to fit a curve to a step function?

If possible, provide your data please!

How to fit a curve to a step function?

If possible, provide your data please!

3 years ago | 0

Answered

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...

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...

3 years ago | 0

Answered

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...

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...

3 years ago | 0

| accepted