Private Get a column in the form of a slice from a matrix

Calculates the determinant of the matrix

Returns the diagonal of a matrix

Sum of the matrix along with axis axis=0 => row-wise axis=1 => column-wise

Dot (Inner) product

Returns the rm of multiply all the elements of a matrix by a float number

Matrix Transpose

Returns an array filled with 0.s If it has been passed one parameter, it yields a square matrix Two parameters define the size of the matrix

Deep Copy of an Array

Returns the sum of the given two matrix

Apply a function to all the elements of a matrix, the function will receive a float64 as param and returns a float64

Returns the Cofactor Matrix

Concatenate two matrices along with their axises axis=0 => row-wise axis=1 => column-wise

Returns the Congugate Matrix

Cumulative Sum of Matrix along with axis axis=0 => row-wise axis=1 => column-wise

Returns an array where diagonal elements are 1 and remaining positions are 0 If it has been passed one parameter, it yields a square matrix Two parame

Calculates the inverse matrix

Maximum of matrix along with axis axis=0 => row-wise axis=1 => column-wise

Mean of matrix along with axis axis=0 => row-wise axis=1 => column-wise

Median of matrix along with axis axis=0 => row-wise axis=1 => column-wise

Minimum of matrix along with axis axis=0 => row-wise axis=1 => column-wise

Minor matrix of a given matrix

Apply a function to a complex matrix the function will receive a complex128 and returns a complex128

Divide the first matrix by the second one

Lower Triangle Matrix

Multiply on matrix by the Transposepose of the second matrix

Multiplication of two matrices; element-wise

Subtraction operation on two matrices

Sum all the elements in a matrix

Take the elements of the matrix given in indices uses so called fancy indexing to determine the positions of the array

Upper Triangle of Matrix

Returns the elements of the matrix which returns true for a given function

TODO: Var, std, correlate, corrcoef, covariance http://docs.scipy.org/doc/numpy/reference/generated/numpy.cov.html