Example: Function call: meansquare(matrix_1).

 

matrix_1:

 

x1

x2

x3

x4

scenario_benchmark

scenario_probability

1

7

2

0

4

5

8

3

8

4

1

4

3

6

0

9

2

11

6

10

0.2

0.2

0.3

0.3

 

at point_1:

 

component_name

value

x1

x2

x3

x4

1

1

1

1

 

MATLAB code (.\Aorda\PSG\MATLAB\Examples\Functions\Func_value_meansquare.m) for function calculation:

 

%Calculation of functions with PSG Subroutine 'functionvalue'

%Define data:

H = [1 4 8 3;7 5 4 6;2 8 1 0;0 3 4 9];

c1 = [2;11;6;10];

p1 = [0.2;0.2;0.3;0.3];

a = [1;1;1;1];

%Calculate meansquare function at point 'a':

[val1] = functionvalue('meansquare', [], H, c1, p1, a);

%Display function value:

disp(sprintf('functionvalue = %g', val1));

%=======================================================================

%Calculation of functions with PSG Subroutine 'mpsg_function_value'

%Create the PSG matrix 'matrix_1'(structure containing header and matrix body) and pack it to structure 'iargstruc_arr':

iargstruc_arr(1) = matrix_pack('matrix_1', H, [], c1, p1);

%Create the PSG point 'point_1'(structure containing header and matrix body) and pack it to structure 'iargstruc_arr':

iargstruc_arr(2) = point_pack('point_1', a', []);

%Calculate meansquare function at point 'point_1':

[val2] = mpsg_function_value('meansquare(matrix_1)','point_1',iargstruc_arr);

%Display function value:

disp(sprintf('mpsg_function_value = %g', val2));

 

Program output:

 

functionvalue = 81.7

mpsg_function_value = 81.7