mat-rajagopal 0.0.5

it has a wide operation of matrix like addition , subtraction , multiplication , division.we can use it for,a matrix satisfy the properties and determinant is also available.

matrix operations

This is a matrix operations package.

This matrix package has 1 modules and 28 functions

1.mat_input(rows,columns)-enter rows and columns

2.unit_mat(dimension)-unit matrix is presents of 1 in diagonals.enter the no.of.rows or columns

3.constant_mat(constant,dimension)-constant matrix contains same numbers.enter the constant and no.of.rows

4.mat_multiple(matrix1,matrix2): normal matrix multiplication

5.mat_add(matrix1,matrix2): matrix addition

6.mat_sub(matrix1,matrix2): matrix subtraction

7.mat_div(matrix1,matrix2): matrix division

8.mat_trace(matrix1): trace of matrix

9.mat_transpose(matrix1): transpose of the matrix

10.det(matrix1): determinant of 2x2 , 3x3 matrix

11.adjoint(matrix1): adjoint of matrix 2x2 and 3x3 matrix

12.area(point1,point2,point3): area of triangle

13.cramer(equation matrix,equal to matrix): value of x,y or x,y,z for three equations

14.mat_inverse(matrix1): inverse of matrix

15.element_mul(matrix1,matrix2): element wise multiplication for matrix

16.mul_commutative(matrix1,matrix2): commutative property on multiplication

17.mul_assosiative(matrix1,matrix2,matrix3): assosiative property on multiplication

18.mul_distributive(matrix1,matrix2,matrix3): distributive property of matrix

19.add_commutative(matrix1,matrix2): commutative property on addition of matrix

20.add_assosiative(matrix1,matrix2,matrix3): associative property oon addition

21.additive_identity(matrix1,matrix2): additive identity of matrix

22.additive inverse(matrix1,matrix2): additive inverse of matrix

23.unitnum_mat(constant,dimension): diagonals have give number

24.mat_ortho(matrix1): orthogonal property of matrix

25.double transpose(matirx1): tranpose of a tranpose matrix:((a)T)T=a

26.sum_transpose(matrix1): transpose of sum of two matrix=sum of two transpose matrix (a+b)T=(a)T+(b)T

27.mul_transpose(matrix1):multiplication transpose is (a*b)T=(b)T * (a)T

28.scalar_mul_transpose(matrix1):multiplication of constant with a matrix whole transpose = multiplication of a constant with the transpose of matrix (const*a)T=const * (a)T

You can use Github-flavored Markdown to write your content.