# simplifying an algebraic expression in 6 variables

1 view (last 30 days)
Az.Sa on 7 Jun 2022
Edited: Torsten on 8 Jun 2022
hello,
can you please help me with the following , I am trying to write matlab code to simplyfy this expression :
0.95 x1 -0.85 x2-0.14 x3+0.13 x4 -0.88 x5 -1.52 x6 - 1.64 * sqrt{ ( 0.100 x1 + 0.06 x2 + 1.03 x3 + 0.88 x4+0.02 x5 +0.19x6) ^2 + (0.04 x1 -0.05 x2+0.057 x3+0.15 x4-0.01 x5 -0.08 x6) ^2 }
I want to combine all x1 together and x2 as well ..etc
Az.Sa on 7 Jun 2022
Edited: Az.Sa on 7 Jun 2022
I am sorry can you give me a clue how to setup my optimization problem correctly. I am not sure how to construct the code corresponding to the above equation. Also, You are right the expression suppose to be squared if I am applying least square. However, If I want to use least absolute deviation insted of least square how can I deal with that ?

Torsten on 7 Jun 2022
Edited: Torsten on 8 Jun 2022
fun = @(x) sum( (y - A.'*x - K*sqrt((B.'*x).^2 + (C.'*x).^2) ).^2 );
Aeq = ones(1,6);
beq = 1;
lb = zeros(1,6);
ub = ones(1,6);
x0 = ones(1,6)/6;
x = fmincon(fun,x0,[],[],Aeq,beq,lb,ub)
Az.Sa on 8 Jun 2022
Edited: Torsten on 8 Jun 2022
Thank you very much

### Categories

Find more on Symbolic Math Toolbox in Help Center and File Exchange

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by