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Re: Newbie question - sqp solver equality constraints function


From: alexegin
Subject: Re: Newbie question - sqp solver equality constraints function
Date: Thu, 22 Jun 2017 03:41:45 -0700 (PDT)

Hi, *"Juan Pablo Carbajal-2"*<br/>


Juan Pablo Carbajal-2 wrote
> ... also try to avoid that I get your code in a single line, makes it hard
> to read

Sorry, I format my code using *pre* html tags - I am just trying to make it
easier to read and it looks fine in a browser. But if it makes it hard to
read I will not use HTML format.
I think I know what is the reason of the error - when I was checking
intitial guess as you sad I realized that it contains *positive values
only*. When at least one of the values is *negative* - everything runs
without any errors. I do not know yet how to avoid it, but *thank you very
much !!!*
Can I ask you one more time to help me with the Octave syntax  - as far as
you can see I am not familiar with it 
Here is my full script and I think *moo* function can be implemented in a
much more easier way - /simplified/, as you said:

clear all;

function r = moo( A, B )
  
  Tmp = zeros( 1, rows( B ) ); # Temp matrix

  Bt = B'; # Transpose B
  
  # Fill in temp matrix
  for i = 1:columns( Bt )
    for j = 1:rows( A )
      Tmp( 1, i ) += A( j, i ) * Bt( 1, j );
    endfor
  endfor
 
  # Compute result
  #r = 0;
  #for i = 1:columns( Tmp )
  #  r = r + Tmp( 1, i ) * B( i, 1 );
  #endfor
  
  r = Tmp * B; # I think it is better, right?

endfunction

Y = dlmread( "y.csv", "\t" );
Yt = Y'; 

R = dlmread( "r.csv", "\t" );

Q = dlmread( "q.csv", "\t" );

f = dlmread( "f.csv", "\t" );

Lb = dlmread( "lb.csv", "\t" ); # -1.0
Ub = dlmread( "ub.csv", "\t" ); # 1.0
 
phi = @( x ) - Yt * x;
 
g = @( x ) [ sum( x( x < 0.0 ) ); sum( x( x >=0.0 ) ) ] - [ Lb; Ub ];

h = @( x ) f - moo( Q, x );

tic;
[x obj info iter nf l] = sqp( R, phi, g, h, Lb, Ub );
toc;

Thank you very much again - you helped me a lot!



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