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Problem with fsolve: system of 6 nonlinear equations and more
a stable results: thot_membrane 470.276797155953 tcold_membrane 470.271756744994 thot_out -727.941719280904 thot_coolingplat...

más de 6 años hace | 1

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Trying to solve a system of equations with 14 equations and 14 unknowns
One result I got: a: 9.16543127083558 d: -3.41610736637613 v: 0.0215111341146459 re: -56206.8082673153 f: -0.00113861533204...

más de 6 años hace | 0

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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; ...

más de 6 años hace | 0

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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...

más de 6 años hace | 0

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

más de 6 años hace | 0

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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

más de 6 años hace | 0

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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...

más de 6 años hace | 1

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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...

más de 6 años hace | 0

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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.

más de 6 años hace | 1

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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...

más de 6 años hace | 0

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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...

más de 6 años hace | 0

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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:...

más de 6 años hace | 0

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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...

casi 7 años hace | 0

| aceptada

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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....

casi 7 años hace | 0

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lsqcurvefit fitting not good
whether fminsearch or lsqcurvefit in Matlab use local optimization algorithms, it is why the initial start values are so importa...

casi 7 años hace | 0

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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...

casi 7 años hace | 0

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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);...

casi 7 años hace | 0

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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 ...

casi 7 años hace | 0

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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...

casi 7 años hace | 1

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

casi 7 años hace | 1

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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:...

casi 7 años hace | 0

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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...

casi 7 años hace | 0

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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...

casi 7 años hace | 0

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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...

casi 7 años hace | 0

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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...

casi 7 años hace | 0

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How to solve 4 equations with 4 unknowns using matlab
r1: 0.0269466666666667 r2: 2153.11111111111 r3: 2523.94560037811 r4: -2522.97254704477

casi 7 años hace | 0

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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

casi 7 años hace | 0

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How do I fit multiple curves with same fitting parameters?
How about the results follow： Parameter Best Estimate -------------------- ------------- b1 -1.42830819954452 b2 5...

casi 7 años hace | 0

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Lsqcurvefit / Lsqnonlin to electrical model. Bad fit problem
Have a try with the results as below: Parameter Best Estimate -------------------- ------------- x1 30060.922855124...

casi 7 años hace | 0

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

casi 7 años hace | 0