Answered

How to curve fit following summation equation in MATLAB with given experimental data.

Hi， Yadav, I actually use a software package other than Matlab, named 1stOpt, it is much easy for using without guessing initial...

How to curve fit following summation equation in MATLAB with given experimental data.

Hi， Yadav, I actually use a software package other than Matlab, named 1stOpt, it is much easy for using without guessing initial...

4 days ago | 1

Answered

How to curve fit following summation equation in MATLAB with given experimental data.

d(K/ (1+exp(c-b*t)))/dt=k*exp(c-b*t)*b/sqr(1+exp(c-b*t)),so your fitting function become: is the above correct? if yes, you m...

How to curve fit following summation equation in MATLAB with given experimental data.

d(K/ (1+exp(c-b*t)))/dt=k*exp(c-b*t)*b/sqr(1+exp(c-b*t)),so your fitting function become: is the above correct? if yes, you m...

5 days ago | 0

| accepted

Answered

How to curve fit following summation equation in MATLAB with given experimental data.

Hi, Yadav, in your function "a*d/dt(k/1+exp(c-b*t))", what is "d/dt"? does "k/1" equal to "k"? Please describe clearly.

How to curve fit following summation equation in MATLAB with given experimental data.

Hi, Yadav, in your function "a*d/dt(k/1+exp(c-b*t))", what is "d/dt"? does "k/1" equal to "k"? Please describe clearly.

6 days ago | 1

Answered

Least square curve fit

The function of lsqcurvefit use local optimization algorithm, so it is too weak on fault tolerance, try to use global optimizati...

Least square curve fit

The function of lsqcurvefit use local optimization algorithm, so it is too weak on fault tolerance, try to use global optimizati...

10 days ago | 0

Answered

lsqcurvefit for global fitting gives bad parameters

Hi, I have just try to solve this complex fitting problem by using another math package, the result is as following, seems to be...

lsqcurvefit for global fitting gives bad parameters

Hi, I have just try to solve this complex fitting problem by using another math package, the result is as following, seems to be...

13 days ago | 0

Answered

How to fit a quadratic equation to the experimental data by manipulating quadratic coefficients?

If you don't care the type of fitting function, try the following one: y = p1+p2*x+p3*x^3+p4/x+p5/x^2 Sum of Squared Residual:...

How to fit a quadratic equation to the experimental data by manipulating quadratic coefficients?

If you don't care the type of fitting function, try the following one: y = p1+p2*x+p3*x^3+p4/x+p5/x^2 Sum of Squared Residual:...

15 days ago | 0

Answered

Exponential fit by customised equation

Hi, Sushreesmita Mishra, the problem you met is normal. When chose build-in function for data fitting, since "build-in", so Matl...

Exponential fit by customised equation

Hi, Sushreesmita Mishra, the problem you met is normal. When chose build-in function for data fitting, since "build-in", so Matl...

17 days ago | 0

| accepted

Answered

Problem by star values lsqcurvefit

Hi, Zuyu An, what's your exact data? xdata = [0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.045 0.05 0.055 0.06 0.065 0.07 0....

Problem by star values lsqcurvefit

Hi, Zuyu An, what's your exact data? xdata = [0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.045 0.05 0.055 0.06 0.065 0.07 0....

27 days ago | 0

Answered

lsqcurvefit fitting not good

whether fminsearch or lsqcurvefit in Matlab use local optimization algorithms, it is why the initial start values are so importa...

lsqcurvefit fitting not good

whether fminsearch or lsqcurvefit in Matlab use local optimization algorithms, it is why the initial start values are so importa...

28 days ago | 0

Answered

Fitting Monod Equation with ODE45 to data using lsqcurvefit function

Hi, Vinoj Liyanaarachchi, the code have been provided above alreadly, but note, that code is not for Matlab, but for another pac...

Fitting Monod Equation with ODE45 to data using lsqcurvefit function

Hi, Vinoj Liyanaarachchi, the code have been provided above alreadly, but note, that code is not for Matlab, but for another pac...

28 days ago | 0

Answered

Fitting Monod Equation with ODE45 to data using lsqcurvefit function

The follow results obtained from 1stOpt may be used for comparison: Code: Variable t,x,s,p; ODEFunction x'=umax*s*x/(ks + s);...

Fitting Monod Equation with ODE45 to data using lsqcurvefit function

The follow results obtained from 1stOpt may be used for comparison: Code: Variable t,x,s,p; ODEFunction x'=umax*s*x/(ks + s);...

28 days ago | 0

Answered

curve of best fit from a few points

The equation below is good enough: y = p1+p2/(p3-x)^2; Root of Mean Square Error (RMSE): 0.000924797017843405 Sum of Squared ...

curve of best fit from a few points

The equation below is good enough: y = p1+p2/(p3-x)^2; Root of Mean Square Error (RMSE): 0.000924797017843405 Sum of Squared ...

29 days ago | 0

Answered

What function fits my data...?

The follow function is much simple, but more better: y = x/(p1+p2*x)+p3 Root of Mean Square Error (RMSE): 0.313525722040886 S...

What function fits my data...?

The follow function is much simple, but more better: y = x/(p1+p2*x)+p3 Root of Mean Square Error (RMSE): 0.313525722040886 S...

1 month ago | 1

| accepted

Answered

Curve fitting by Genetic Algorithm

Rerfer the results below: Root of Mean Square Error (RMSE): 0.00353350868235726 Sum of Squared Residual: 0.00029965640659906 ...

Curve fitting by Genetic Algorithm

Rerfer the results below: Root of Mean Square Error (RMSE): 0.00353350868235726 Sum of Squared Residual: 0.00029965640659906 ...

1 month ago | 1

Answered

Fsolve- equation solved, inaccuracy [possible

If want all are positive, refer the results follow: x1: 0.0990335590812945 x2: 1.27592369827812E-11 x3: 650.000000000022 x4:...

Fsolve- equation solved, inaccuracy [possible

If want all are positive, refer the results follow: x1: 0.0990335590812945 x2: 1.27592369827812E-11 x3: 650.000000000022 x4:...

1 month ago | 0

Answered

fitting scatter data into multiple cosine functions

So, an gao, what is the result you want? Unless you add range constraint for all parameters (except w), because there are trigon...

fitting scatter data into multiple cosine functions

So, an gao, what is the result you want? Unless you add range constraint for all parameters (except w), because there are trigon...

1 month ago | 0

Answered

fitting scatter data into multiple cosine functions

Hi， how about the results below, the fitting is perfect, the reason for you cann't get good result is more possible the bad init...

fitting scatter data into multiple cosine functions

Hi， how about the results below, the fitting is perfect, the reason for you cann't get good result is more possible the bad init...

1 month ago | 0

Answered

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

if take initial conditions as: t=30,n=0.1178512,i=0; Root of Mean Square Error (RMSE): 0.00101378248364856 Sum of Squared Resi...

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

if take initial conditions as: t=30,n=0.1178512,i=0; Root of Mean Square Error (RMSE): 0.00101378248364856 Sum of Squared Resi...

1 month ago | 0

Answered

Is it possible to provide initial guesses in cftool?

Yes, it is possible if using global optimization algorihms (the curve fitting functions built in Matlab, i.e. cftool, lsqcurvef...

Is it possible to provide initial guesses in cftool?

Yes, it is possible if using global optimization algorihms (the curve fitting functions built in Matlab, i.e. cftool, lsqcurvef...

1 month ago | 0

Answered

How to solve 4 equations with 4 unknowns using matlab

r1: 0.0269466666666667 r2: 2153.11111111111 r3: 2523.94560037811 r4: -2522.97254704477

How to solve 4 equations with 4 unknowns using matlab

r1: 0.0269466666666667 r2: 2153.11111111111 r3: 2523.94560037811 r4: -2522.97254704477

1 month ago | 0

Answered

How to solve 5 equations with 5 unknowns

Numercial solution: a: 9.00473933649289 b: 1.18483412322275 c: 3.55450236966825 d: 1.54545454545455 e: 17.2

How to solve 5 equations with 5 unknowns

Numercial solution: a: 9.00473933649289 b: 1.18483412322275 c: 3.55450236966825 d: 1.54545454545455 e: 17.2

1 month ago | 0

Answered

How do I fit multiple curves with same fitting parameters?

How about the results follow： Parameter Best Estimate -------------------- ------------- b1 -1.42830819954452 b2 5...

How do I fit multiple curves with same fitting parameters?

How about the results follow： Parameter Best Estimate -------------------- ------------- b1 -1.42830819954452 b2 5...

1 month ago | 0

Answered

Lsqcurvefit / Lsqnonlin to electrical model. Bad fit problem

Have a try with the results as below: Parameter Best Estimate -------------------- ------------- x1 30060.922855124...

Lsqcurvefit / Lsqnonlin to electrical model. Bad fit problem

Have a try with the results as below: Parameter Best Estimate -------------------- ------------- x1 30060.922855124...

1 month ago | 0

Answered

Fit function and uncertainty

Hi, attach your data file please, if possible.

Fit function and uncertainty

Hi, attach your data file please, if possible.

1 month ago | 0

Answered

Fitting Data for the given equations below?

seems too complicated for Matlab, the follows are the code of 1stOpt, another software package: Constant RT = 8.314E+3*299; Pa...

Fitting Data for the given equations below?

seems too complicated for Matlab, the follows are the code of 1stOpt, another software package: Constant RT = 8.314E+3*299; Pa...

1 month ago | 0

Answered

Solve function with equations and inequations

There are too many numerical solutions： 1： x_1: 0.0219289963140093 x_2: -1.20176285580936 x_3: -33.4147964294915 x_4: 194.3...

Solve function with equations and inequations

There are too many numerical solutions： 1： x_1: 0.0219289963140093 x_2: -1.20176285580936 x_3: -33.4147964294915 x_4: 194.3...

1 month ago | 0

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...

1 month 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.

1 month 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.

1 month 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 ...

1 month ago | 0