How to use fminsearch to minimize sum of the squares and find the constant values?
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I have two data sets, D1 and D2. where D1 and D2 has the experimental and Calculated values. How to find the constant values by minimizing the sum of the squares(sum(D1-D2)^2 ==0).
Sum (s)= (D1-D2)^2 ==0
D1=[......] %experiemntal
D2=[......] % calculated
X =[......] % dimensions are same as D1&D2
Y =[......] % dimensions are same as D1&D2
D2= a*exp(b/X)*Y %%D2 is a function of A,B,X,Y
Sum (s)= (D1-D2)^2 ==0 %% the difference in the sum of the squres between D1 and D2 should be close to zero.
How to find the values of a and b by minimizing the sum of the squares between D1 and D2?
Thanks
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