Class AbstractMatrixAbstract

constructor

• new AbstractMatrix(): AbstractMatrix

• Returns AbstractMatrix

Readonlycolumns

Readonlyrows

Readonlysize

[iterator]

• "[iterator]"(): Generator<
      [row: number, column: number, value: number],
      void,
      void,
  >

• iterator from left to right, from top to bottom yield [row, column, value]

  Returns Generator<[row: number, column: number, value: number], void, void>

abs

• abs(): this

• Returns this

acos

• acos(): this

• Returns this

acosh

• acosh(): this

• Returns this

add

• add(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

addColumnVector

• addColumnVector(vector: ArrayLike<number> | AbstractMatrix): this

• Adds the values of a vector to each column.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

addRowVector

• addRowVector(vector: ArrayLike<number> | AbstractMatrix): this

• Adds the values of a vector to each row.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

and

• and(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

apply

• apply(callback: (row: number, column: number) => void): this

• Applies a callback for each element of the matrix. The function is called in the matrix (this) context.

  Parameters

  • callback: (row: number, column: number) => void

    Function that will be called for each element in the matrix.

  Returns this

asin

• asin(): this

• Returns this

asinh

• asinh(): this

• Returns this

atan

• atan(): this

• Returns this

atanh

• atanh(): this

• Returns this

cbrt

• cbrt(): this

• Returns this

ceil

• ceil(): this

• Returns this

center

• center(options?: ICenterOptions): this

• Center the matrix in-place. By default, the mean value of the matrix is subtracted from every value.

  Parameters

  • Optionaloptions: ICenterOptions

  Returns this
• center(by: MatrixDimension, options?: ICenterByOptions): this

• Center the matrix in-place. By default, the mean values in the give dimension are subtracted from the values.

  Parameters

  • by: MatrixDimension

    center by 'row' or 'column'.
  • Optionaloptions: ICenterByOptions

  Returns this

clone

• clone(): this

• Creates an exact and independent copy of the matrix.

  Returns this

clz32

• clz32(): this

• Returns this

cos

• cos(): this

• Returns this

cosh

• cosh(): this

• Returns this

cumulativeSum

• cumulativeSum(): this

• Computes the cumulative sum of the matrix elements (in place, row by row).

  Returns this

diag

• diag(): number[]

• Returns an array containing the diagonal values of the matrix.

  Returns number[]

diagonal

• diagonal(): number[]

• Alias for AbstractMatrix.diag.

  Returns number[]

div

• div(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

divColumnVector

• divColumnVector(vector: ArrayLike<number> | AbstractMatrix): this

• Divides the values of each column by those of a vector.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

divide

• divide(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

divRowVector

• divRowVector(vector: ArrayLike<number> | AbstractMatrix): this

• Divides the values of each row by those of a vector.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

dot

• dot(vector: AbstractMatrix): number

• Computes the dot (scalar) product between the matrix and another.

  Parameters

  • vector: AbstractMatrix

  Returns number

echelonForm

• echelonForm(): Matrix

• Returns the row echelon form of the matrix computed using gaussian elimination.

  Returns Matrix

entries

• entries(): Generator<[row: number, column: number, value: number], void, void>

• iterator from left to right, from top to bottom yield [row, column, value]

  Returns Generator<[row: number, column: number, value: number], void, void>

exp

• exp(): this

• Returns this

expm1

• expm1(): this

• Returns this

fill

• fill(value: number): this

• Fills the matrix with a given value. All elements will be set to this value.

  Parameters

  • value: number

    New value.

  Returns this

flipColumns

• flipColumns(): this

• Returns this

flipRows

• flipRows(): this

• Returns this

floor

• floor(): this

• Returns this

fround

• fround(): this

• Returns this

Abstractget

• get(rowIndex: number, columnIndex: number): number

• Returns the value of the given element of the matrix.

  Parameters

  • rowIndex: number

    Index of the element's row.
  • columnIndex: number

    Index of the element's column.

  Returns number

  • The value of the element.

getColumn

• getColumn(index: number): number[]

• Returns a new array with the values from the given column index.

  Parameters

  • index: number

    Column index.

  Returns number[]

getColumnVector

• getColumnVector(index: number): Matrix

• Returns a new column vector with the values from the given column index.

  Parameters

  • index: number

    Column index.

  Returns Matrix

getRow

• getRow(index: number): number[]

• Returns a new array with the values from the given row index.

  Parameters

  • index: number

    Row index.

  Returns number[]

getRowVector

• getRowVector(index: number): Matrix

• Returns a new row vector with the values from the given row index.

  Parameters

  • index: number

    Row index.

  Returns Matrix

isColumnVector

• isColumnVector(): boolean

• Returns whether the matrix has one column.

  Returns boolean

isDistance

• isDistance(): boolean

• Returns whether the matrix is symmetric and diagonal values are equals to 0

  Returns boolean

isEchelonForm

• isEchelonForm(): boolean

• Returns whether the matrix is in row echelon form.

  Returns boolean

isEmpty

• isEmpty(): boolean

• Returns whether the number of rows or columns (or both) is zero.

  Returns boolean

isReducedEchelonForm

• isReducedEchelonForm(): boolean

• Returns whether the matrix is in reduced row echelon form.

  Returns boolean

isRowVector

• isRowVector(): boolean

• Returns whether the matrix has one row.

  Returns boolean

isSquare

• isSquare(): boolean

• Returns whether the matrix has the same number of rows and columns.

  Returns boolean

isSymmetric

• isSymmetric(): boolean

• Returns whether the matrix is square and has the same values on both sides of the diagonal.

  Returns boolean

isVector

• isVector(): boolean

• Returns whether the matrix has one row or one column.

  Returns boolean

kroneckerProduct

• kroneckerProduct(other: MaybeMatrix): Matrix

• Returns the Kronecker product (also known as tensor product) between this and other.

  Parameters

  • other: MaybeMatrix

    Other matrix.

  Returns Matrix

  Link

  https://en.wikipedia.org/wiki/Kronecker_product

kroneckerSum

• kroneckerSum(other: MaybeMatrix): Matrix

• Returns the Kronecker sum between this and other.

  Parameters

  • other: MaybeMatrix

    Other matrix.

  Returns Matrix

  Link

  https://en.wikipedia.org/wiki/Kronecker_product#Kronecker_sum

leftShift

• leftShift(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

log

• log(): this

• Returns this

log10

• log10(): this

• Returns this

log1p

• log1p(): this

• Returns this

log2

• log2(): this

• Returns this

max

• max(): number

• Returns the maximum value of the matrix.

  Returns number
• max(by: MatrixDimension): number[]

• Returns the maximum value by the given dimension.

  Parameters

  • by: MatrixDimension

    max by 'row' or 'column'.

  Returns number[]

maxColumn

• maxColumn(column: number): number

• Returns the maximum value of one column.

  Parameters

  • column: number

    Column index.

  Returns number

maxColumnIndex

• maxColumnIndex(column: number): [number, number]

• Returns the index of the maximum value of one column.

  Parameters

  • column: number

    Column index.

  Returns [number, number]

maxIndex

• maxIndex(): [number, number]

• Returns the index of the maximum value.

  Returns [number, number]

maxRow

• maxRow(row: number): number

• Returns the maximum value of one row.

  Parameters

  • row: number

    Row index.

  Returns number

maxRowIndex

• maxRowIndex(row: number): [number, number]

• Returns the index of the maximum value of one row.

  Parameters

  • row: number

    Row index.

  Returns [number, number]

mean

• mean(): number

• Returns the mean of all elements of the matrix.

  Returns number
• mean(by: MatrixDimension): number[]

• Returns the mean by the given dimension.

  Parameters

  • by: MatrixDimension

    mean by 'row' or 'column'.

  Returns number[]

min

• min(): number

• Returns the minimum value of the matrix.

  Returns number
• min(by: MatrixDimension): number[]

• Returns the minimum value by the given dimension.

  Parameters

  • by: MatrixDimension

    min by 'row' or 'column'.

  Returns number[]

minColumn

• minColumn(column: number): number

• Returns the minimum value of one column.

  Parameters

  • column: number

    Column index.

  Returns number

minColumnIndex

• minColumnIndex(column: number): [number, number]

• Returns the index of the minimum value of one column.

  Parameters

  • column: number

    Column index.

  Returns [number, number]

minIndex

• minIndex(): [number, number]

• Returns the index of the minimum value.

  Returns [number, number]

minRow

• minRow(row: number): number

• Returns the minimum value of one row.

  Parameters

  • row: number

    Row index.

  Returns number

minRowIndex

• minRowIndex(row: number): [number, number]

• Returns the index of the maximum value of one row.

  Parameters

  • row: number

    Row index.

  Returns [number, number]

mmul

• mmul(other: MaybeMatrix): Matrix

• Returns the matrix product between this and other.

  Parameters

  • other: MaybeMatrix

    Other matrix.

  Returns Matrix

mmulStrassen

• mmulStrassen(y: MaybeMatrix): Matrix

• Parameters

  • y: MaybeMatrix

  Returns Matrix

mod

• mod(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

modulus

• modulus(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

mpow

• mpow(scalar: number): Matrix

• Returns the square matrix raised to the given power

  Parameters

  • scalar: number

    the non-negative integer power to raise this matrix to

  Returns Matrix

mul

• mul(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

mulColumn

• mulColumn(index: number, value: number): this

• Multiplies the values of a column with a scalar.

  Parameters

  • index: number

    Column index.
  • value: number

  Returns this

mulColumnVector

• mulColumnVector(vector: ArrayLike<number> | AbstractMatrix): this

• Multiplies the values of a vector with each column.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

mulRow

• mulRow(index: number, value: number): this

• Multiplies the values of a row with a scalar.

  Parameters

  • index: number

    Row index.
  • value: number

  Returns this

mulRowVector

• mulRowVector(vector: ArrayLike<number> | AbstractMatrix): this

• Multiplies the values of a vector with each row.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

multiply

• multiply(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

neg

• neg(): this

• Negates the matrix. All elements will be multiplied by -1.

  Returns this

negate

• negate(): this

• Alias for AbstractMatrix.neg.

  Returns this

norm

• norm(type?: "max" | "frobenius"): number

• Returns the norm of a matrix.

  Parameters

  • Optionaltype: "max" | "frobenius"

    Norm type. Default: 'frobenius'.

  Returns number

not

• not(): this

• Returns this

or

• or(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

pow

• pow(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

product

• product(): number

• Returns the product of all elements of the matrix.

  Returns number
• product(by: MatrixDimension): number[]

• Returns the product by the given dimension.

  Parameters

  • by: MatrixDimension

    product by 'row' or 'column'.

  Returns number[]

reducedEchelonForm

• reducedEchelonForm(): Matrix

• Returns the reduced row echelon form of the matrix computed using gaussian elimination.

  Returns Matrix

repeat

• repeat(options?: IRepeatOptions): Matrix

• Creates a new matrix that is a repetition of the current matrix. New matrix has rows times the number of rows of the original matrix, and columns times the number of columns of the original matrix.

  Parameters

  • Optionaloptions: IRepeatOptions

  Returns Matrix

  Example

  var matrix = new Matrix([[1, 2]]);
  matrix.repeat({ rows: 2 }); // [[1, 2], [1, 2]]
  Copy

rightShift

• rightShift(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

round

• round(): this

• Returns this

scale

• scale(options?: IScaleOptions): this

• Scale the matrix in-place. By default, values are divided by their standard deviation.

  Parameters

  • Optionaloptions: IScaleOptions

  Returns this
• scale(by: MatrixDimension, options?: IScaleByOptions): this

• Scale the matrix in-place. By default, values are divided by the standard deviation in the given dimension.

  Parameters

  • by: MatrixDimension

    scale by 'row' or 'column'.
  • Optionaloptions: IScaleByOptions

  Returns this

scaleColumns

• scaleColumns(options?: IScaleOptions): Matrix

• Returns a new column-by-column scaled matrix.

  Parameters

  • Optionaloptions: IScaleOptions

  Returns Matrix

  Example

  var matrix = new Matrix([[1, 2], [-1, 0]]);
  var scaledMatrix = matrix.scaleColumns(); // [[1, 1], [0, 0]]
  Copy

scaleRows

• scaleRows(options?: IScaleOptions): Matrix

• Returns a new row-by-row scaled matrix.

  Parameters

  • Optionaloptions: IScaleOptions

  Returns Matrix

selection

• selection(
      rowIndices: ArrayLike<number>,
      columnIndices: ArrayLike<number>,
  ): Matrix

• Return a new matrix based on a selection of rows and columns. Order of the indices matters and the same index can be used more than once.

  Parameters

  • rowIndices: ArrayLike<number>

    The row indices to select.
  • columnIndices: ArrayLike<number>

    The column indices to select.

  Returns Matrix

Abstractset

• set(rowIndex: number, columnIndex: number, value: number): this

• Sets a given element of the matrix.

  Parameters

  • rowIndex: number

    Index of the element's row.
  • columnIndex: number

    Index of the element's column.
  • value: number

    The new value for the element.

  Returns this

setColumn

• setColumn(index: number, array: ArrayLike<number> | AbstractMatrix): this

• Sets a column at the given index.

  Parameters

  • index: number

    Column index.
  • array: ArrayLike<number> | AbstractMatrix

    Array or vector to set.

  Returns this

setRow

• setRow(index: number, array: ArrayLike<number> | AbstractMatrix): this

• Sets a row at the given index.

  Parameters

  • index: number

    Row index.
  • array: ArrayLike<number> | AbstractMatrix

    Array or vector to set.

  Returns this

setSubMatrix

• setSubMatrix(matrix: MaybeMatrix, startRow: number, startColumn: number): this

• Set a part of the matrix to the given sub-matrix.

  Parameters

  • matrix: MaybeMatrix

    The source matrix from which to extract values.
  • startRow: number

    The index of the first row to set.
  • startColumn: number

    The index of the first column to set.

  Returns this

sign

• sign(): this

• Returns this

signPropagatingRightShift

• signPropagatingRightShift(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

sin

• sin(): this

• Returns this

sinh

• sinh(): this

• Returns this

sortColumns

• sortColumns(compareFunction?: (a: number, b: number) => number): this

• Sorts the columns in-place.

  Parameters

  • OptionalcompareFunction: (a: number, b: number) => number

  Returns this

sortRows

• sortRows(compareFunction?: (a: number, b: number) => number): this

• Sorts the rows in-place.

  Parameters

  • OptionalcompareFunction: (a: number, b: number) => number

  Returns this

sqrt

• sqrt(): this

• Returns this

standardDeviation

• standardDeviation(options?: IVarianceOptions): number

• Returns the standard deviation of all elements of the matrix.

  Parameters

  • Optionaloptions: IVarianceOptions

  Returns number
• standardDeviation(by: MatrixDimension, options?: IVarianceByOptions): number[]

• Returns the standard deviation by the given dimension.

  Parameters

  • by: MatrixDimension

    standard deviation by 'row' or 'column'.
  • Optionaloptions: IVarianceByOptions

  Returns number[]

strassen2x2

• strassen2x2(other: MaybeMatrix): Matrix

• Parameters

  • other: MaybeMatrix

  Returns Matrix

strassen3x3

• strassen3x3(other: MaybeMatrix): Matrix

• Parameters

  • other: MaybeMatrix

  Returns Matrix

sub

• sub(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

subColumnVector

• subColumnVector(vector: ArrayLike<number> | AbstractMatrix): this

• Subtracts the values of a vector from each column.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

subMatrix

• subMatrix(
      startRow: number,
      endRow: number,
      startColumn: number,
      endColumn: number,
  ): Matrix

• Returns a subset of the matrix.

  Parameters

  • startRow: number

    First row index.
  • endRow: number

    Last row index.
  • startColumn: number

    First column index.
  • endColumn: number

    Last column index.

  Returns Matrix

subMatrixColumn

• subMatrixColumn(
      indices: ArrayLike<number>,
      startRow?: number,
      endRow?: number,
  ): Matrix

• Returns a subset of the matrix based on an array of column indices.

  Parameters

  • indices: ArrayLike<number>

    Array containing the column indices.
  • OptionalstartRow: number

    First row index. Default: 0.
  • OptionalendRow: number

    Last row index. Default: this.rows - 1.

  Returns Matrix

subMatrixRow

• subMatrixRow(
      indices: ArrayLike<number>,
      startColumn?: number,
      endColumn?: number,
  ): Matrix

• Returns a subset of the matrix based on an array of row indices.

  Parameters

  • indices: ArrayLike<number>

    Array containing the row indices.
  • OptionalstartColumn: number

    First column index. Default: 0.
  • OptionalendColumn: number

    Last column index. Default: this.columns - 1.

  Returns Matrix

subRowVector

• subRowVector(vector: ArrayLike<number> | AbstractMatrix): this

• Subtracts the values of a vector from each row.

  Parameters

  • vector: ArrayLike<number> | AbstractMatrix

    Array or vector.

  Returns this

subtract

• subtract(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

sum

• sum(): number

• Returns the sum of all elements of the matrix.

  Returns number
• sum(by: MatrixDimension): number[]

• Returns the sum by the given dimension.

  Parameters

  • by: MatrixDimension

    sum by 'row' or 'column'.

  Returns number[]

swapColumns

• swapColumns(column1: number, column2: number): this

• Swap two columns.

  Parameters

  • column1: number

    First column index.
  • column2: number

    Second column index.

  Returns this

swapRows

• swapRows(row1: number, row2: number): this

• Swap two rows.

  Parameters

  • row1: number

    First row index.
  • row2: number

    Second row index.

  Returns this

tan

• tan(): this

• Returns this

tanh

• tanh(): this

• Returns this

tensorProduct

• tensorProduct(other: MaybeMatrix): Matrix

• Alias for AbstractMatrix.kroneckerProduct.

  Parameters

  • other: MaybeMatrix

  Returns Matrix

to1DArray

• to1DArray(): number[]

• Returns a new 1D array filled row by row with the matrix values.

  Returns number[]

to2DArray

• to2DArray(): number[][]

• Returns a 2D array containing a copy of the matrix data.

  Returns number[][]

toJSON

• toJSON(): number[][]

• Returns number[][]

toString

• toString(options?: IToStringOptions): string

• Parameters

  • Optionaloptions: IToStringOptions

  Returns string

trace

• trace(): number

• Returns the trace of the matrix (sum of the diagonal elements).

  Returns number

transpose

• transpose(): Matrix

• Transposes the matrix and returns a new one containing the result.

  Returns Matrix

trunc

• trunc(): this

• Returns this

values

• values(): Generator<number, void, void>

• iterator from left to right, from top to bottom yield value

  Returns Generator<number, void, void>

variance

• variance(options?: IVarianceOptions): number

• Returns the variance of all elements of the matrix.

  Parameters

  • Optionaloptions: IVarianceOptions

  Returns number
• variance(by: MatrixDimension, options?: IVarianceByOptions): number[]

• Returns the variance by the given dimension.

  Parameters

  • by: MatrixDimension

    variance by 'row' or 'column'.
  • Optionaloptions: IVarianceByOptions

  Returns number[]

xor

• xor(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

zeroFillRightShift

• zeroFillRightShift(value: ScalarOrMatrix): this

• Parameters

  • value: ScalarOrMatrix

  Returns this

Staticabs

• abs(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticacos

• acos(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticacosh

• acosh(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticadd

• add(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticand

• and(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticasin

• asin(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticasinh

• asinh(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticatan

• atan(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticatanh

• atanh(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticcbrt

• cbrt(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticceil

• ceil(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

StaticcheckMatrix

• checkMatrix(value: any): Matrix

• Check that the provided value is a Matrix and tries to instantiate one if not.

  Parameters

  • value: any

    The value to check.

  Returns Matrix

Staticclz32

• clz32(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

StaticcolumnVector

• columnVector(newData: ArrayLike<number>): Matrix

• Creates a column vector, a matrix with only one column.

  Parameters

  • newData: ArrayLike<number>

    A 1D array containing data for the vector.

  Returns Matrix

  The new matrix.

Staticcopy

• copy<M extends AbstractMatrix>(from: AbstractMatrix, to: M): M

• Type Parameters

  • M extends AbstractMatrix

  Parameters

  • from: AbstractMatrix
  • to: M

  Returns M

Staticcos

• cos(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticcosh

• cosh(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticdiag

• diag(data: ArrayLike<number>, rows?: number, columns?: number): Matrix

• Creates a diagonal matrix based on the given array.

  Parameters

  • data: ArrayLike<number>

    Array containing the data for the diagonal.
  • Optionalrows: number

    Number of rows. Default: data.length.
  • Optionalcolumns: number

    Number of columns. Default: rows.

  Returns Matrix

  • The new diagonal matrix.

Staticdiagonal

• diagonal(data: ArrayLike<number>, rows?: number, columns?: number): Matrix

• Alias for AbstractMatrix.diag.

  Parameters

  • data: ArrayLike<number>
  • Optionalrows: number
  • Optionalcolumns: number

  Returns Matrix

Staticdiv

• div(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticdivide

• divide(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticexp

• exp(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticexpm1

• expm1(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticeye

• eye(rows: number, columns?: number, value?: number): Matrix

• Creates an identity matrix with the given dimension. Values of the diagonal will be 1 and others will be 0.

  Parameters

  • rows: number

    Number of rows.
  • Optionalcolumns: number

    Number of columns. Default: rows.
  • Optionalvalue: number

    Value to fill the diagonal with. Default: 1.

  Returns Matrix

  • The new identity matrix.

Staticfloor

• floor(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticfrom1DArray

• from1DArray(
      newRows: number,
      newColumns: number,
      newData: ArrayLike<number>,
  ): Matrix

• Constructs a matrix with the chosen dimensions from a 1D array.

  Parameters

  • newRows: number

    Number of rows.
  • newColumns: number

    Number of columns.
  • newData: ArrayLike<number>

    A 1D array containing data for the matrix.

  Returns Matrix

  The new matrix.

Staticfround

• fround(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticidentity

• identity(rows: number, columns?: number, value?: number): Matrix

• Alias for AbstractMatrix.eye.

  Parameters

  • rows: number
  • Optionalcolumns: number
  • Optionalvalue: number

  Returns Matrix

StaticisMatrix

• isMatrix(value: any): value is AbstractMatrix

• Returns whether value is a Matrix.

  Parameters

  • value: any

    The value to check.

  Returns value is AbstractMatrix

StaticleftShift

• leftShift(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticlog

• log(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticlog10

• log10(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticlog1p

• log1p(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticlog2

• log2(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticmax

• max(matrix1: MaybeMatrix, matrix2: MaybeMatrix): Matrix

• Returns a matrix whose elements are the maximum between matrix1 and matrix2.

  Parameters

  • matrix1: MaybeMatrix
  • matrix2: MaybeMatrix

  Returns Matrix

Staticmin

• min(matrix1: MaybeMatrix, matrix2: MaybeMatrix): Matrix

• Returns a matrix whose elements are the minimum between matrix1 and matrix2.

  Parameters

  • matrix1: MaybeMatrix
  • matrix2: MaybeMatrix

  Returns Matrix

Staticmod

• mod(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticmodulus

• modulus(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticmul

• mul(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticmultiply

• multiply(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticnot

• not(value: MaybeMatrix): Matrix

• Parameters

  • value: MaybeMatrix

  Returns Matrix

Staticones

• ones<M extends AbstractMatrix = Matrix>(rows: number, columns: number): M

• Creates a matrix with the given dimensions. Values will be set to one.

  Type Parameters

  • M extends AbstractMatrix = Matrix

  Parameters

  • rows: number

    Number of rows.
  • columns: number

    Number of columns.

  Returns M

  The new matrix.

Staticor

• or(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticpow

• pow(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix

Staticrand

• rand(rows: number, columns: number, options?: IRandomOptions): Matrix

• Creates a matrix with the given dimensions. Values will be randomly set.

  Parameters

  • rows: number

    Number of rows.
  • columns: number

    Number of columns.
  • Optionaloptions: IRandomOptions

    Options object.

  Returns Matrix

  The new matrix.

StaticrandInt

• randInt(rows: number, columns: number, options?: IRandomIntOptions): Matrix

• Creates a matrix with the given dimensions. Values will be random integers.

  Parameters

  • rows: number

    Number of rows.
  • columns: number

    Number of columns.
  • Optionaloptions: IRandomIntOptions

  Returns Matrix

  • The new matrix.

Staticrandom

• random(rows: number, columns: number, options?: IRandomOptions): Matrix

• Parameters

  • rows: number
  • columns: number
  • Optionaloptions: IRandomOptions

  Returns Matrix

StaticrightShift

• rightShift(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix

• Parameters

  • matrix: MaybeMatrix
  • value: ScalarOrMatrix

  Returns Matrix