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Get Started

 // 1  
 int arr[2][3] = {{1, 2, 3}, {4, 5, 6}};
 Matrix<2,3,int> M1(arr);
 // 2
 int arr[] = {1.6, 2.2, 3.9 , 4.7, 5.3, 6.8};
 Matrix<2,3,float> M2(arr);
 // 3
 Matrix<5,5,int> // A 5x5 Matrix filled by zeros

Print to the terminal

  M1.print();

Acces And Set Data

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

Static Methodes

  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);

Operators

List

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=M1ùa;
+= 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;

Examples

   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;

Void Methodes

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) -

Testers

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

License

This projet is licensed under the terms of MIT License

MIT