Answered
Solution to 8 non-linear equations.
for the case: a1= 4.8994; a2=5.143; a3= 4.09248; a4= 6.264; a5= 3.7584; a6= 2.81184; a7= 5.568; a8=4.176; g1=0.00001; ...

2 years ago | 0

Answered
Solving the root of 5 equations with 5 unknowns.
Hi, Kaleb Crook, refer to the below results: x1: 0.0481826850207524 x2: 0.0410231263942099 x3: 0.0404768236956547 x4: 0.0777...

2 years ago | 0

Answered
find a function that approximates a given set of data imposing conditions
If possible, attach your data please.

2 years ago | 0

Answered
Can I use patternsearch to solve a system of non-smooth equations?
Ho, provide your 42 equations in details, so others may try to solve

2 years ago | 0

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...

2 years 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...

2 years ago | 0

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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.

2 years 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...

2 years 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...

2 years 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:...

2 years 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...

2 years ago | 0

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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....

2 years 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...

2 years 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...

2 years 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);...

2 years 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 ...

2 years 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...

2 years ago | 1

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Answered
Curve fitting by Genetic Algorithm
Rerfer the results below: Root of Mean Square Error (RMSE): 0.00353350868235726 Sum of Squared Residual: 0.00029965640659906 ...

2 years 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:...

2 years 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...

2 years 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...

2 years 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...

2 years 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...

2 years 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

2 years 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

2 years 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...

2 years 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...

2 years ago | 0

Answered
Fit function and uncertainty
Hi, attach your data file please, if possible.

2 years 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...

2 years 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...

2 years ago | 0

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