Computes a list of 2D vectors from the given matrix by averaging values in paired rows. The matrix must have an even number of rows, positive dimensions, and follows a Hankel-like structure for computation.

get

operator fun get(row: Int, column: Int): Double

operator fun get(row: Int, columnRange: IntRange): Matrix

operator fun get(rowRange: IntRange, column: Int): Matrix

operator fun get(rowRange: IntRange, columnRange: IntRange): Matrix

isSymmetric

fun isSymmetric(matrix: Matrix, tolerance: Double = 1.0E-10): Boolean

Checks if the given matrix is symmetric within a specified tolerance.

minus

operator fun Matrix.minus(other: Matrix): Matrix

operator fun Matrix.minus(other: SparseMatrix): Matrix

Extension function to subtract a SparseMatrix from a Matrix.

multiply

fun multiply(a: Matrix, b: Matrix): Matrix

Multiplies two matrices and returns the resulting matrix.

plus

operator fun Matrix.plus(other: Matrix): Matrix

operator fun Matrix.plus(other: SparseMatrix): Matrix

Extension function to add a Matrix to a SparseMatrix.

set

operator fun set(row: Int, column: Int, value: Double)

Set value

svd

fun Matrix.svd(fullMatrix: Boolean = true): Triple<Matrix, Matrix, Matrix>

Computes the Singular Value Decomposition (SVD) of this matrix.

times

operator fun times(scale: Double): Matrix

operator fun times(other: Matrix): Matrix

Multiplies this matrix with another matrix and returns the resulting matrix.

toSparseMatrix

fun Matrix.toSparseMatrix(): SparseMatrix

Extension function to convert a dense Matrix to a SparseMatrix.

transposed

fun transposed(): Matrix

Returns a new matrix that is the transpose of this matrix.