// 1 int arr[2 ][3 ] = {{1 , 2 , 3 }, {4 , 5 , 6 }};
Matrix<2 ,3 ,int > M1 (arr);
// 2int arr[] = {1.6 , 2.2 , 3.9 , 4.7 , 5.3 , 6.8 };
Matrix<2 ,3 ,float > M2 (arr);
// 35 ,5 ,int > // A 5x5 Matrix filled by zeros
Mehode
Acces
Set
1
M[i][j]M[i][j]=4
2
M(i,j)M(i,j)=4
2
M.at(i,j)M.at(i,j)=4
int r=2 ,c=3 ;
Matrix<r, c> Z = Matrix<r, c>::Zeros();
Matrix<r, c> O = Matrix<r, c>::Ones();
Matrix<3 > Id = Matrix<3 >::Id();
Matrix<4 ,5 > Nums = Matrix<4 ,5 ,double >::Nums(6.7 ); M1: Matrix
Operator
Operande
Syntax
+
M2:Matrix
Matrix<r,c,type> M3=M1+M2;
+
a:Scalar
Matrix<r,c,type> M3=M1+a;
-
M2:Matrix
Matrix<r,c,type> M3=M1-M2;
-
a:Scalar
Matrix<r,c,type> M3=M1-a;
*
M2:Matrix
Matrix<r,c,type> M3=M1*M2;
*
a:Scalar
Matrix<r,c,type> M3=M1*a;
/
a:Scalar
Matrix<r,c,type> M3=M1/a;
=
a:Matrix
Matrix<r,c,type> M3=M1;
%
a:Integer
Matrix<r,c,type> M3=M1ΓΉa;
+=
M2:Matrix
M1+=M2;
+=
a:Scalar
M1+=a;
-=
M2:Matrix
M1-=M2;
-=
a:Scalar
M1-=a;
*=
M2:Matrix
M1*=M2;
*=
a:Scalar
M1+=a;
/=
a:Scalar
M1/=a;
%=
a:Integer
M1%=a;
int arr1[2 ][3 ] = {{1 , 2 , 3 },{4 , 5 , 6 }};
int arr2[2 ][3 ] = {{2 , 3 , 4 },{5 , 6 , 7 }};
Matrix<2 ,3 ,int > M1 (arr1);
Matrix<2 ,3 ,int > M2 (arr2);
Matrix<2 ,3 ,int > M3=M1+M2;
Matrix<2 ,3 ,int > M4=M1-M2;
M3+=M3;
M4-=M3;
Methode
Description
Example
Condition
.clone()-
.print()-
.at(i,j)Acces and set data
-
.det()The determinant of the given matrix
View should be a square matrix
.transpose()Transposes the given matrix
View -
.comatrice()View -
.reshape(r,c)Reshapes the given matrix
View The size of the new Matrix should be equal to the old one
.slice(r0,c0,r1,c1)Extracts a sub-matrix from the original matrix,
View -
.deleteRow(i)Remove a specific row from the original matrix.
View -
.deleteCol(j)Remove a specific column from the original matrix.
View -
.hstack(M)Stacks the original matrix horizontally with the matrix M
View The number of cols in both matrices should be the same,
.vstack(M)Stacks the original matrix vertically with the matrix M
View The number of rows in both matrices should be the same,
.foreach(lambda_func)Higher-order function that takes a function as an argument and applies it to each element of the Matrix.
View -
.clamp(min,max)clamp all matrix elements between min and max
View -
.lerp(min,max)View -
.norm(min,max)Normalize the values in a matrix to a range between 0 and 1
View -
.map(a1,b1,a2,b2)Map the values of a matrix from one range to another.
View -
.count(n)-
Methode
description
isId()determines whether a given matrix is identity matrix or not
isSquare()determines whether a given matrix is square or not
isSym()determines whether a given matrix is symmetric or not
isAntiSym()determines whether a given matrix is antisymmetric or not
isInv()determines whether a given matrix is inversible or not
isZeros()determines whether a given matrix is filled by zeros or not
isOnes()determines whether a given matrix is filled by ones or not
This projet is licensed under the terms of MIT License
