Alex Sha
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20 of your answers have been accepted
Awarded to Alex Sha on 30 Oct 2021
Contribute at least one answer each month for 12 consecutive months
Awarded to Alex Sha on 03 Apr 2020
Answer 10 questions that were unanswered for more than 30 days
Awarded to Alex Sha on 09 Jan 2020
Provide your first answer ever to someone else's question
Awarded to Alex Sha on 22 Apr 2019
Content Feed
how to fit the coupled differential equations and get the coefficients?
Refer to the results below: Sum Squared Error (SSE): 46715596564.0427 Root of Mean Square Error (RMSE): 35062.1990798768 Corr...
20 dagen ago | 0
Derivative not working plot
Unfortunately, the "exp2" fitting result below given by Matlab is not correctly. theFit = General model Exp2: theF...
21 dagen ago | 0
curve fitting exponential function with two terms
If taking the fitting function as: y=a*exp(b*x) + c*exp(d*x); and also taking the data like below directly; x = [6500 6350 580...
28 dagen ago | 0
Damped Oscillation Equation Fitting
if taking fitting function as: x=a*exp(-b*t)*sin(w*t+phi) for trial-1 Sum Squared Error (SSE): 9.1948847955911E-5 Root of Mea...
ongeveer een maand ago | 0
Fitting a model to my data using non linear least square fit method
The best solution: Root of Mean Square Error (RMSE): 0.0143800358786989 Correlation Coef. (R): 0.998885623657614 R-Square: 0....
2 maanden ago | 0
Fsolve don't work good with trigonometric
There are some solutions like below No. 1 2 3 4 5 xa1 0.835289443057692 1.97769580537186 0.119396464246135 0.813305799520437 0...
3 maanden ago | 0
fsolve result is not desirable even giving a close starting point
For Qingbin's equations, although it is a problem that has passed a long time, it is worth and interesting to have a try, there ...
3 maanden ago | 0
using lsqnonlin with multiple functions
@joshua payne refer to the results below Sum Squared Error (SSE): 0.377485784540046 Root of Mean Square Error (RMSE): 0.082102...
4 maanden ago | 0
Least squares linear regression with constraints
If using direct nonlinear fitting a1 59.737732722511 a2 2.72067588034148 a3 -0.192039313150924 Whi...
4 maanden ago | 0
How do I curve fit the data set
@Prajwal Magadi, one more function: Sum Squared Error (SSE): 75571.6557870726 Root of Mean Square Error (RMSE): 2.7490299341...
4 maanden ago | 1
fitting data with a combination of exponential and linear form ( a*exp(-x/b)+c*x+d )
If taking fitting function as "y=a*exp(-x/b)+c*x+d", the result will be: Sum Squared Error (SSE): 0.473516174967249 Root of Me...
5 maanden ago | 1
Fitting multiple exponential function .
@Saroj Poudyal, the result you obtained is not the best one, refer to the global optimization solution below: Sum Squared Error...
6 maanden ago | 1
| accepted
How to fit multiple gaussian in a curve ?
For the summation of 6 Gaussians function: Sum Squared Error (SSE): 2.61218021364296E-9 Root of Mean Square Error (RMSE): 4.49...
8 maanden ago | 0
Curve fitting the data series
Refer to the results below, should be the unique global solution: Sum Squared Error (SSE): 0.0378758633912789 Root of Mean Squ...
8 maanden ago | 1
Non-linear Multi-Variable Fitting
If possible, post out your data file please
12 maanden ago | 0
Genetic Algorithm not returning best found solution
Taking my experience, GA is not an efficient and ideal global optimization algorithm, in lots of cases, GA like random reserach ...
ongeveer een jaar ago | 0
Solving a system of Non-linear Equations with Complex numbers
There are much more solutions else: x1: 5000+3401.68025708298i x2: 5000-3401.68025708301i x3: -3.62536433474507+0i x1: 5...
ongeveer een jaar ago | 0
How do I fit a regression equation to find coefficients and exponents?
Although the results may seem strange, mathematically speaking, the result below is the best one: Sum Squared Error (SSE): 87...
ongeveer een jaar ago | 0
How to constraint the values of fitted parameters with lsqcurvefit?
hi, the result is good enough Sum Squared Error (SSE): 0.0105245967805521 Root of Mean Square Error (RMSE): 0.01938758511131 ...
meer dan een jaar ago | 1
| accepted
curve fitting tool custom equation
if taking only part of data, for example, from No. 105 to No. 300, then the result will looks good Sum Squared Error (SSE): 111...
meer dan een jaar ago | 0
The fsolve function fails to give me an answer for seven unknowns. What should I do?
Just doing some equivalent deformation (change division into multiplication), for example, form: f(5)=((x(1)^3)*(x(2))/(x(4)*...
meer dan een jaar ago | 0
How to curve fit an equation that gets values from another equation?
How about the results below: Residual Sum of Squares (RSS): 34.9122402573179 Root of Mean Square Error (RMSE): 0.9585109100402...
bijna 2 jaar ago | 0
Unable to find explicit solution
One solution seems to be: t: -8.33315732250827
bijna 2 jaar ago | 0
Curve fitting with custom function
It is hard to get stable and unique result for Da125's problem, especially for parameters of "lambda" and "n". refer to the resu...
ongeveer 2 jaar ago | 0
FItting 3d with fourier
If taking the fitting function as: the result will be: Root of Mean Square Error (RMSE): 0.000481289122874164 Sum of Square...
ongeveer 2 jaar ago | 2
| accepted
FItting 3d with fourier
Hi, give your data as text format, not a picture just.
ongeveer 2 jaar ago | 0
PARAMETER estimation of kinetic and adsorbtion constant of langmuir hinshelwood haugen watson model
if want all parameters to be positive: Root of Mean Square Error (RMSE): 0.0035717712315911 Sum of Squared Residual: 0.0003572...
ongeveer 2 jaar ago | 0
How to obtain model parameters by fitting experimental data to the monod model. monod model.
Refer to the results below: Root of Mean Square Error (RMSE): 1.50437634361661 Sum of Squared Residual: 81.4733345963976 Corr...
meer dan 2 jaar ago | 0
| accepted
curve fitting a custom equation
Hi, all, as mentioned by Walter Roberson, the resule I provided above is obtained by using 1stOpt, the biggest advantage, for 1s...
meer dan 2 jaar ago | 0
| accepted
I want to solve 2 equations with 2 variables but it cant be solved and the command window shows fsolve stopped because the last step was ineffective
Hi, the result below should be one solution x1: -52.5485799573576 x2: 12.1032014174617
meer dan 2 jaar ago | 0
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