How to extract the coefficient of x inside the exponential?

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syms x
a1=10.0548; a2=-4.4425; a3=-3.2730; a4=-2.2430; b1=0.0; b2=0.0029; b3=0.0379; b4=0.3863;
y=a1*exp(-b1*x) + a2*exp(-b2*x) + a3*exp(-b3*x) + a4*exp(-b4*x);
z4 = expand(y4^2);
z4 = vpa(z4,6);
z4 = exp(-0.0758168 x) 10.7127 - exp(-0.0379084 x) 65.8191 - exp(-0.00294242 x) 89.3358 + exp(-0.00588485 x) 19.7354
- exp(-0.386332 x) 45.1049 + exp(-0.772664 x) 5.03086 + exp(-0.0379084 x) exp(-0.00294242 x) 29.0805
+ exp(-0.0379084 x) exp(-0.386332 x) 14.6825 + exp(-0.00294242 x) exp(-0.386332 x) 19.9285 + 101.099
[c, tx] = coeffs(vpa(z2,6))
qc = arrayfun(@char, tx, 'uniform', 0)
fin = cellfun(@(x)regexprep(x, '\<exp', ''), qc, 'UniformOutput', false)
fin1 = cellfun(@(x)regexprep(x, '\<x', ''), fin, 'UniformOutput', false)
fin2 = cellfun(@(x)regexprep(x, '*+', ''), fin1, 'UniformOutput', false)
fin3 = cellfun(@(x)regexprep(x, '\<(', ''), fin2, 'UniformOutput', false)
fin4 = cellfun(@(x)regexprep(x, '\>)', ''), fin3, 'UniformOutput', false)
fin5 = str2double(fin4)
It gives fin4 as
'-0.037908413650000305494813801487908-0.0029424243719999854107527426094748' '-0.037908413650000305494813801487908-0.38633213039999958482439978979528' '-0.037908413650000305494813801487908' '-0.075816827300000610989627602975816' '-0.0029424243719999854107527426094748-0.38633213039999958482439978979528' '-0.0029424243719999854107527426094748' '-0.0058848487439999708215054852189496' '-0.38633213039999958482439978979528' '-0.77266426079999916964879957959056' '1'
It gives fin5 as
NaN NaN -0.0379 -0.0758 NaN -0.0029 -0.0059 -0.3863 -0.7727 1.0000
Is there any better way to get the coefficennt of x inside the exponetial ?
Thank you.

Accepted Answer

David Goodmanson
David Goodmanson on 9 May 2020
Edited: David Goodmanson on 9 May 2020
Hi Ishan,
Squaring y gives 16 terms involving the product of two exponential functions. Multilying exponentials means adding the two b coefficients in each product, so the task comes down to finding all possible sums of two b coefficients.
b = -[0.0 0.0029 0.0379 .3863];
cof = b+b'
% and if you want just the unique ones,
ucof = unique(cof(:))
ucof =
-0.7726
-0.4242
-0.3892
-0.3863
-0.0758
-0.0408
-0.0379
-0.0058
-0.0029
0
  2 Comments
Ishan Khatri
Ishan Khatri on 9 May 2020
Hi David,
Thnak you for such a lucid solution. How I can modify this code to fit cube and fourth power of y?
David Goodmanson
David Goodmanson on 10 May 2020
Hi Ishan,
here is one way. Start with a variation of the original process:
b = -[0.0 0.0029 0.0379 .3863];
bsum = b'; % create a column vector, one sum
bsum = bsum + b % create a matrix of all pairs of sums
bsum = bsum(:); % create a column vector, two sums
Now you just repeat the process to get column vectors of three sums, etc. and use unique at the end if desired.

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