- ApplyOverMatrix
ApplyOverMatrix (a,func)

Apply a function over all entries of a matrix and return a matrix of the results.

- ApplyOverMatrix2
ApplyOverMatrix2 (a,b,func)

Apply a function over all entries of 2 matrices (or 1 value and 1 matrix) and return a matrix of the results.

- ColumnsOf
ColumnsOf (M)

Gets the columns of a matrix as a horizontal vector.

- ComplementSubmatrix
ComplementSubmatrix (m,r,c)

Remove column(s) and row(s) from a matrix.

- CompoundMatrix
CompoundMatrix (k,A)

Calculate the kth compound matrix of A.

- CountZeroColumns
CountZeroColumns (M)

Count the number of zero columns in a matrix. For example once your column reduce a matrix you can use this to find the nullity. See

`cref`

and`Nullity`

.- DeleteColumn
DeleteColumn (M,col)

Delete a column of a matrix.

- DeleteRow
DeleteRow (M,row)

Delete a row of a matrix.

- DiagonalOf
DiagonalOf (M)

Gets the diagonal entries of a matrix as a column vector.

See Wikipedia for more information.

- DotProduct
DotProduct (u,v)

Get the dot product of two vectors. The vectors must be of the same size. No conjugates are taken so this is a bilinear form even if working over the complex numbers; This is the bilinear scalar product not the sesquilinear scalar product. See HermitianProduct for the standard sesquilinear inner product.

See Wikipedia or Planetmath for more information.

- ExpandMatrix
ExpandMatrix (M)

Expands a matrix just like we do on unquoted matrix input. That is we expand any internal matrices as blocks. This is a way to construct matrices out of smaller ones and this is normally done automatically on input unless the matrix is quoted.

- HermitianProduct
HermitianProduct (u,v)

Aliases:

`InnerProduct`

Get the Hermitian product of two vectors. The vectors must be of the same size. This is a sesquilinear form using the identity matrix.

- I
I (n)

Aliases:

`eye`

Return an identity matrix of a given size, that is

`n`

by`n`

. If`n`

is zero, returns`null`

.See Wikipedia or Planetmath for more information.

- IndexComplement
IndexComplement (vec,msize)

Return the index complement of a vector of indexes. Everything is one based. For example for vector

and size`[2,3]`

, we return`5`

. If`[1,4,5]`

`msize`

is 0, we always return`null`

.- IsDiagonal
IsDiagonal (M)

Is a matrix diagonal.

See Wikipedia or Planetmath for more information.

- IsIdentity
IsIdentity (x)

Check if a matrix is the identity matrix. Automatically returns

`false`

if the matrix is not square. Also works on numbers, in which case it is equivalent to. When`x==1`

`x`

is`null`

(we could think of that as a 0 by 0 matrix), no error is generated and`false`

is returned.- IsLowerTriangular
IsLowerTriangular (M)

Is a matrix lower triangular. That is, are all the entries above the diagonal zero.

- IsMatrixInteger
IsMatrixInteger (M)

Check if a matrix is a matrix of integers (non-complex).

- IsMatrixNonnegative
IsMatrixNonnegative (M)

Check if a matrix is non-negative, that is if each element is non-negative. Do not confuse positive matrices with positive semi-definite matrices.

See Wikipedia for more information.

- IsMatrixPositive
IsMatrixPositive (M)

Check if a matrix is positive, that is if each element is positive (and hence real). In particular, no element is 0. Do not confuse positive matrices with positive definite matrices.

See Wikipedia for more information.

- IsMatrixRational
IsMatrixRational (M)

Check if a matrix is a matrix of rational (non-complex) numbers.

- IsMatrixReal
IsMatrixReal (M)

Check if a matrix is a matrix of real (non-complex) numbers.

- IsMatrixSquare
IsMatrixSquare (M)

Check if a matrix is square, that is its width is equal to its height.

- IsUpperTriangular
IsUpperTriangular (M)

Is a matrix upper triangular? That is, a matrix is upper triangular if all the entries below the diagonal are zero.

- IsValueOnly
IsValueOnly (M)

Check if a matrix is a matrix of numbers only. Many internal functions make this check. Values can be any number including complex numbers.

- IsVector
IsVector (v)

Is argument a horizontal or a vertical vector. Genius does not distinguish between a matrix and a vector and a vector is just a 1 by

`n`

or`n`

by 1 matrix.- IsZero
IsZero (x)

Check if a matrix is composed of all zeros. Also works on numbers, in which case it is equivalent to

. When`x==0`

`x`

is`null`

(we could think of that as a 0 by 0 matrix), no error is generated and`true`

is returned as the condition is vacuous.- LowerTriangular
LowerTriangular (M)

Returns a copy of the matrix

`M`

with all the entries above the diagonal set to zero.- MakeDiagonal
MakeDiagonal (v,arg...)

Aliases:

`diag`

Make diagonal matrix from a vector. Alternatively you can pass in the values to put on the diagonal as arguments. So

is the same as`MakeDiagonal([1,2,3])`

.`MakeDiagonal(1,2,3)`

See Wikipedia or Planetmath for more information.

- MakeVector
MakeVector (A)

Make column vector out of matrix by putting columns above each other. Returns

`null`

when given`null`

.- MatrixProduct
MatrixProduct (A)

Calculate the product of all elements in a matrix or vector. That is we multiply all the elements and return a number that is the product of all the elements.

- MatrixSum
MatrixSum (A)

Calculate the sum of all elements in a matrix or vector. That is we add all the elements and return a number that is the sum of all the elements.

- MatrixSumSquares
MatrixSumSquares (A)

Calculate the sum of squares of all elements in a matrix or vector.

- NonzeroColumns
NonzeroColumns (M)

Returns a row vector of the indices of nonzero columns in the matrix

`M`

.Version 1.0.18 onwards.

- NonzeroElements
NonzeroElements (v)

Returns a row vector of the indices of nonzero elements in the vector

`v`

.Version 1.0.18 onwards.

- OuterProduct
OuterProduct (u,v)

Get the outer product of two vectors. That is, suppose that

`u`

and`v`

are vertical vectors, then the outer product is.`v * u.'`

- ReverseVector
ReverseVector (v)

Reverse elements in a vector. Return

`null`

if given`null`

- RowSum
RowSum (m)

Calculate sum of each row in a matrix and return a vertical vector with the result.

- RowSumSquares
RowSumSquares (m)

Calculate sum of squares of each row in a matrix and return a vertical vector with the results.

- RowsOf
RowsOf (M)

Gets the rows of a matrix as a vertical vector. Each element of the vector is a horizontal vector that is the corresponding row of

`M`

. This function is useful if you wish to loop over the rows of a matrix. For example, as.`for r in RowsOf(M) do something(r)`

- SetMatrixSize
SetMatrixSize (M,rows,columns)

Make new matrix of given size from old one. That is, a new matrix will be returned to which the old one is copied. Entries that don't fit are clipped and extra space is filled with zeros. If

`rows`

or`columns`

are zero then`null`

is returned.- ShuffleVector
ShuffleVector (v)

Shuffle elements in a vector. Return

`null`

if given`null`

.Version 1.0.13 onwards.

- SortVector
SortVector (v)

Sort vector elements in an increasing order.

- StripZeroColumns
StripZeroColumns (M)

Removes any all-zero columns of

`M`

.- StripZeroRows
StripZeroRows (M)

Removes any all-zero rows of

`M`

.- Submatrix
Submatrix (m,r,c)

Return column(s) and row(s) from a matrix. This is just equivalent to

.`m@(r,c)`

`r`

and`c`

should be vectors of rows and columns (or single numbers if only one row or column is needed).- SwapRows
SwapRows (m,row1,row2)

Swap two rows in a matrix.

- UpperTriangular
UpperTriangular (M)

Returns a copy of the matrix

`M`

with all the entries below the diagonal set to zero.- columns
columns (M)

Get the number of columns of a matrix.

- elements
elements (M)

Get the total number of elements of a matrix. This is the number of columns times the number of rows.

- ones
ones (rows,columns...)

Make an matrix of all ones (or a row vector if only one argument is given). Returns

`null`

if either rows or columns are zero.- rows
rows (M)

Get the number of rows of a matrix.

- zeros
zeros (rows,columns...)

Make a matrix of all zeros (or a row vector if only one argument is given). Returns

`null`

if either rows or columns are zero.