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// Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
// Copyright (C) 2008-2009 - INRIA - Michael Baudin
//
// This file must be used under the terms of the CeCILL.
// This source file is licensed as described in the file COPYING, which
// you should have received as part of this distribution. The terms
// are also available at
// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
//
// assert_close --
// Returns 1 if the two real matrices computed and expected are close,
// i.e. if the relative distance between computed and expected is lesser than epsilon.
// Arguments
// computed, expected : the two matrices to compare
// epsilon : a small number
//
function flag = assert_close ( computed, expected, epsilon )
if expected==0.0 then
shift = norm(computed-expected);
else
shift = norm(computed-expected)/norm(expected);
end
if shift < epsilon then
flag = 1;
else
flag = 0;
end
if flag <> 1 then bugmes();quit;end
endfunction
//
// assert_equal --
// Returns 1 if the two real matrices computed and expected are equal.
// Arguments
// computed, expected : the two matrices to compare
// epsilon : a small number
//
function flag = assert_equal ( computed , expected )
if computed==expected then
flag = 1;
else
flag = 0;
end
if flag <> 1 then bugmes();quit;end
endfunction
function y = rosenbrock (x)
y = 100*(x(2)-x(1)^2)^2 + (1-x(1))^2;
endfunction
//
// Test optimsimplex_check.
//
//
// Test with 3 vertices
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setn(s1,2);
s1 = optimsimplex_setnbve(s1,3);
newsimplex = [
1. 2.
3. 4.
5. 6.
];
s1 = optimsimplex_setallx ( s1 , newsimplex );
s1 = optimsimplex_setallfv ( s1 , [3.0 4.0 5.0]' );
optimsimplex_check ( s1 );
s1 = optimsimplex_destroy(s1);
//
// Test with empty simplex
//
s1 = optimsimplex_new ();
optimsimplex_check ( s1 );
s1 = optimsimplex_destroy(s1);
//
// Test with 3 vertices
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setn(s1,2);
s1 = optimsimplex_setnbve(s1,5);
newsimplex = [
1. 2.
3. 4.
5. 6.
7. 8.
9. 10.
];
s1 = optimsimplex_setallx ( s1 , newsimplex );
s1 = optimsimplex_setallfv ( s1 , [3.0 4.0 5.0 6.0 7.0]' );
optimsimplex_check ( s1 );
s1 = optimsimplex_destroy(s1);
//
// Test error case : number of function values does not match number of vertices
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setnbve(s1,5);
cmd = "s1 = optimsimplex_setallfv ( s1 , [3.0 4.0 5.0 6.0]'' );";
execstr(cmd,"errcatch");
computed = lasterror();
expected = "optimsimplex_setallfv: The number of rows in the function value array is 4, while expected 5.";
assert_equal ( computed , expected );
s1 = optimsimplex_destroy(s1);
//
// Test error case : number of columns does not match number of vertices
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setn(s1,2);
s1 = optimsimplex_setnbve(s1,5);
newsimplex = [
1. 2.
3. 4.
5. 6.
7. 8.
];
cmd = "s1 = optimsimplex_setallx ( s1 , newsimplex );";
execstr(cmd,"errcatch");
computed = lasterror();
expected = "optimsimplex_setallx: The number of rows in x is 4, while expected 5.";
assert_equal ( computed , expected );
s1 = optimsimplex_destroy(s1);
//
// Test error case : number of columns does not match dimension
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setn(s1,2);
s1 = optimsimplex_setnbve(s1,5);
newsimplex = [
1.0
3.0
5.0
7.0
8.0
];
cmd = "s1 = optimsimplex_setallx ( s1 , newsimplex );";
execstr(cmd,"errcatch");
computed = lasterror();
expected = "optimsimplex_setallx: The number of columns in x is 1, while expected 2.";
assert_equal ( computed , expected );
s1 = optimsimplex_destroy(s1);
//
// Test error case : dimension in the x array does not match the value of n
// because of unconsistent configurations
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setn(s1,2);
s1 = optimsimplex_setnbve(s1,5);
newsimplex = [
1. 1.
3. 3.
5. 5.
7. 7.
8. 8.
];
s1 = optimsimplex_setallx ( s1 , newsimplex );
s1 = optimsimplex_setnbve(s1,6);
s1 = optimsimplex_setallfv ( s1 , [3.0 4.0 5.0 6.0 7.0 8.0]' );
cmd = "optimsimplex_check ( s1 );";
execstr(cmd,"errcatch");
computed = lasterror();
expected = "optimsimplex_check: Number of rows of x is 5, which is different from number of vertices = 6.";
assert_equal ( computed , expected );
s1 = optimsimplex_destroy(s1);
//
// Test error case : number of vertices in the fv array does not match nbve
// because of unconsistent configurations
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setnbve(s1,6);
s1 = optimsimplex_setallfv ( s1 , [3.0 4.0 5.0 6.0 7.0 8.0]' );
s1 = optimsimplex_setn(s1,2);
s1 = optimsimplex_setnbve(s1,5);
newsimplex = [
1. 1.
3. 3.
5. 5.
7. 7.
8. 8.
];
s1 = optimsimplex_setallx ( s1 , newsimplex );
cmd = "optimsimplex_check ( s1 );";
execstr(cmd,"errcatch");
computed = lasterror();
expected = "optimsimplex_check: Number of rows of fv is 6, which is different from number of vertices = 5.";
assert_equal ( computed , expected );
s1 = optimsimplex_destroy(s1);
//
// Test error case : unconsistent number of columns in the fv array
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setnbve(s1,6);
fv = [
3.0 3.0
4.0 4.0
5.0 5.0
6.0 6.0
7.0 7.0
8.0 8.0
];
cmd = "s1 = optimsimplex_setallfv ( s1 , fv );";
execstr(cmd,"errcatch");
computed = lasterror();
expected = "optimsimplex_setallfv: The number of columns in the function value array is 2, while expected 1.";
assert_equal ( computed , expected );
s1 = optimsimplex_destroy(s1);
//
// Test error case : number of vertices in the x array does not match nbve
// because of unconsistent configurations
//
s1 = optimsimplex_new ();
s1 = optimsimplex_setn(s1,2);
s1 = optimsimplex_setnbve(s1,5);
s1 = optimsimplex_setallfv ( s1 , [3.0 4.0 5.0 6.0 7.0]' );
newsimplex = [
1. 1.
3. 3.
5. 5.
7. 7.
8. 8.
];
s1 = optimsimplex_setallx ( s1 , newsimplex );
s1 = optimsimplex_setn(s1,3);
cmd = "optimsimplex_check ( s1 );";
execstr(cmd,"errcatch");
computed = lasterror();
expected = "optimsimplex_check: Number of columns of x is 2, which is different from dimension = 3.";
assert_equal ( computed , expected );
s1 = optimsimplex_destroy(s1);
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