solve a set of two linear equations

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mary
mary on 1 Oct 2021
Edited: Alan Weiss on 3 Oct 2021
Hello,
I have a set of two linear equations. I know how to solve it on paper. The only issue is how to make a well-structured code for it by using function handels (so without using symolic variables). Let's consider the following example:
f1 = @(x,y) y - x - a(x) - b(y) + cst1 ;
f2 = @(x,y) y - x - c(x) - d(y) + cst2 ;
a and c are functions of x, b and d functions of y, cst 1 and cst 2 are constants.
Thanks in advance for your help.

Answers (2)

Steven Lord
Steven Lord on 1 Oct 2021
If this isn't a homework assignment, use fsolve from Optimization Toolbox.
If this is a homework assignment, check your textbook to see if there is an algorithm and/or pseudocode that you can implement as MATLAB code. If there is but you aren't sure where to start because you're not familiar with how to write MATLAB code, I suggest you start with the free MATLAB Onramp tutorial (https://www.mathworks.com/support/learn-with-matlab-tutorials.html) to quickly learn the essentials of MATLAB.
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mary
mary on 1 Oct 2021
No, it is not a homework and I am familiar with Matlab. The only problem is that I dont see how to use fsolve with function handels (f1 = @(x,y) ... and f2 = @(x,y) ...). Here: https://nl.mathworks.com/help/optim/ug/fsolve.html, for instance F1 and F2 are not function handles. I want to use function handle for the sake of clarity of the code (as each equation includes many terms depending on x and y like a(x) or b(y) in the above example). I dont want to use symbolic parameters neither. Is there any way to use fsolve with my f1(x,y) and f2(x,y) ?

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Alan Weiss
Alan Weiss on 3 Oct 2021
Edited: Alan Weiss on 3 Oct 2021
I don't really understand what you are trying to do, but it sounds to me like your best bet is to use the Problem-Based Optimization Workflow or more specifically the Problem-Based Workflow for Solving Equations. You can write your optimization variables with perfect clarity, and your will get the same underlying solver (fsolve) if it is appropriate.
Alan Weiss
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