- Define the equation as a function that takes parameters “x” and “T”. This would involve utilizing exponential functions and mathematical operations to create the desired equation.
- Load the time array (“T”) and concentration ratio array (“C1_C0”) into MATLAB. These arrays would contain the triplicate data you wish to fit.
- Create an initial guess array with the initial values for “k1” and “k2”. These values will serve as starting points for the curve-fitting process.
- Utilize the “lsqcurvefit” function to estimate the values of “k1” and “k2”. This requires providing the equation function, initial guess array, “T”, and “C1_C0” as input arguments. The output will be the estimated values for “k1” and “k2”.
Curve fitting triplicate data using matlab
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Hello,
I am trying to curve fit a triplicate set of data (3 sets) using the following equation. I am attaching the screenshot of the sample data and the equation I will be using to fit. I am trying to fit k1 and k2 here. How should I code this in matlab? Thanks in advance.
Equation: C1/C0 = exp(-k1*T)/2 + (k2)/(k1 + 2*k2) + (k1*exp(-T*(k1 + 2*k2)))/(2*(k1 + 2*k2))
C1/C0 is the dependent variable and T is the independent variable.
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Sachin Lodhi
il 31 Ago 2023
Based on my understanding, it appears that you are interested in curve-fitting triplicate data using MATLAB.
To successfully accomplish this, it would be beneficial to have a basic understanding of creating functions in MATLAB and utilizing the built-in curve fitting functions such as “lsqcurvefit()”. Please refer to the below step-by-step procedure for curve-fitting triplicate data using “lsqcurevefit”:
I recommend you refer to the following documentation page to know more about “lsqcurvefit” function: Solve nonlinear curve-fitting (data-fitting) problems in least-squares sense - MATLAB lsqcurvefit - MathWorks India
I hope by following these steps, you would be able to curve-fit triplicate data.
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