Scilab

for-loop over Matrix

for i=1:size(P, 1)
    for j=1:size(P, 2)
        // ...
    end
end

if

if x == %T then
    // ...
elseif x <> %F
    // ...
else
    // ...
end

function definition

// return values
//         |          arguments
//         |              |
//         v              v
function [a,b]=isPeriodic(P,T)
    // ...
endfunction

ones()

ones()     // passt sich an
ones(1, 5) // Zeilenvektor [1 1 1 1 1]
ones(5, 1) // Spaltenvektor [1;1;1;1;1]

right and left division

Backslash denotes left matrix division. x = A \ b is a solution to A * x = b.

Right division. x = A / b is the solution of x * b = A.

Beispiel (veranschaulicht wie man es in Scilab machen muss):

`(E-P_(na)) * vec A = ((1),(vdots),(1)) => vec A = (((1),(vdots),(1)))/(E-P_(na)) = (E-P_(na)) \\ ((1),(vdots),(1))`

in Scilab

A = (eye() - P_na) \ ones(P_na, 1)

matrix column/row deletion/replacement

// cut out row 1 and 2 and then column 5
P([1, 2], [5])

// return only column 3
P(:,3)

// return only row 1
P(1,:)

misc

// diagonal of P
diag(P) 

// find all columns and rows where edge > 0.5
[rows, columns] = find(A > 0.5)