sincmathsmp/io.github.gallvp.sincmaths/SincMatrix

SincMatrix

actual class SincMatrix(rowMajArray: DoubleArray, m: Int, n: Int)

expect class SincMatrix(rowMajArray: DoubleArray, m: Int, n: Int)

actual class SincMatrix(rowMajArray: DoubleArray, m: Int, n: Int)

Constructors

actual constructor(rowMajArray: DoubleArray, m: Int, n: Int)

expect constructor(rowMajArray: DoubleArray, m: Int, n: Int)

actual constructor(rowMajArray: DoubleArray, m: Int, n: Int)

Types

actual object Companion

expect object Companion

actual object Companion

Properties

val SincMatrix.absoluteValue: SincMatrix

val SincMatrix.boolean: Boolean

Returns a value if the matrix is scalar otherwise throws an error.

val SincMatrix.colIndices: IntArray

colIndicesRange

val SincMatrix.colIndicesRange: IntRange

val SincMatrix.columns: List<SincMatrix>

val SincMatrix.description: String

val SincMatrix.disp: String

val SincMatrix.first: Double

val SincMatrix.indices: IntArray

val SincMatrix.indicesRange: IntRange

val SincMatrix.isColumn: Boolean

val SincMatrix.isRow: Boolean

val SincMatrix.isScalar: Boolean

val SincMatrix.isVector: Boolean

val SincMatrix.length: Int

actual val SincMatrix.numCols: Int

expect val SincMatrix.numCols: Int

actual val SincMatrix.numCols: Int

actual val SincMatrix.numel: Int

expect val SincMatrix.numel: Int

actual val SincMatrix.numel: Int

actual val SincMatrix.numRows: Int

expect val SincMatrix.numRows: Int

actual val SincMatrix.numRows: Int

val SincMatrix.rowIndices: IntArray

rowIndicesRange

val SincMatrix.rowIndicesRange: IntRange

val SincMatrix.rows: List<SincMatrix>

val SincMatrix.scalar: Double

Returns a value if the matrix is scalar otherwise throws an error.

val SincMatrix.size: List<Int>

val SincMatrix.t: SincMatrix

Matrix transpose

actual val SincMatrix.transpose: SincMatrix

expect val SincMatrix.transpose: SincMatrix

actual val SincMatrix.transpose: SincMatrix

Functions

actual fun SincMatrix.abs(): SincMatrix

expect fun SincMatrix.abs(): SincMatrix

actual fun SincMatrix.abs(): SincMatrix

fun SincMatrix.acf(numLags: Int): SincMatrix

Citation: Matlab central

fun SincMatrix.all(): Boolean

infix fun SincMatrix.and(rhs: SincMatrix): SincMatrix

fun SincMatrix.any(): Boolean

actual fun SincMatrix.asArray(): DoubleArray

expect fun SincMatrix.asArray(): DoubleArray

actual fun SincMatrix.asArray(): DoubleArray

fun SincMatrix.asBoolArray(): BooleanArray

fun SincMatrix.asBoolean(): Boolean

fun SincMatrix.asIntArray(): IntArray

asRowMajorArray

actual fun SincMatrix.asRowMajorArray(): DoubleArray

expect fun SincMatrix.asRowMajorArray(): DoubleArray

actual fun SincMatrix.asRowMajorArray(): DoubleArray

fun SincMatrix.asRowVector(): SincMatrix

Create a row vector by indexing elements row by row

fun SincMatrix.asScalar(): Double

fun SincMatrix.cat(dim: Int = 1, vararg matrices: SincMatrix): SincMatrix

fun SincMatrix.circShift(n: Int): SincMatrix

fun SincMatrix.conv(bVector: SincMatrix, shape: ConvolutionShape = ConvolutionShape.FULL): SincMatrix

fun SincMatrix.copyOf(): SincMatrix

actual fun SincMatrix.cos(): SincMatrix

expect fun SincMatrix.cos(): SincMatrix

actual fun SincMatrix.cos(): SincMatrix

fun SincMatrix.cross(ontoVector: SincMatrix): SincMatrix

fun SincMatrix.cumSum(dim: Int = 1): SincMatrix

fun SincMatrix.diff(dim: Int = 1): SincMatrix

diffWithWavelet

fun SincMatrix.diffWithWavelet(scale: Double, dt: Double, dim: Int = 1): SincMatrix

Differentiates the vector by wavelet transformation using the mexican-hat wavelet.

operator fun SincMatrix.div(rhs: Double): SincMatrix

fun SincMatrix.dot(rhs: SincMatrix): SincMatrix

actual infix fun SincMatrix.elDiv(rhs: SincMatrix): SincMatrix

expect infix fun SincMatrix.elDiv(rhs: SincMatrix): SincMatrix

actual infix fun SincMatrix.elDiv(rhs: SincMatrix): SincMatrix

actual infix fun SincMatrix.elMul(rhs: SincMatrix): SincMatrix

expect infix fun SincMatrix.elMul(rhs: SincMatrix): SincMatrix

infix fun SincMatrix.elMul(rhs: Double): SincMatrix

actual infix fun SincMatrix.elMul(rhs: SincMatrix): SincMatrix

actual infix fun SincMatrix.elPow(power: Double): SincMatrix

expect infix fun SincMatrix.elPow(power: Double): SincMatrix

actual infix fun SincMatrix.elPow(power: Double): SincMatrix

actual fun SincMatrix.elSum(): Double

expect fun SincMatrix.elSum(): Double

actual fun SincMatrix.elSum(): Double

fun SincMatrix.equalsTo(rhs: SincMatrix): SincMatrix

fun SincMatrix.equalsTo(rhs: Double): SincMatrix

infix fun SincMatrix.et(rhs: SincMatrix): SincMatrix

Equals to as in A == B

infix fun SincMatrix.et(rhs: Double): SincMatrix

Equals to as in A == b

fun SincMatrix.filter(bVector: DoubleArray, aVector: DoubleArray, dim: Int = 1): SincMatrix

Only second order filters are supported. Thus, length(B) == length(A) == 3 is assumed.

fun SincMatrix.filtFilt(bVector: DoubleArray, aVector: DoubleArray): SincMatrix

Only second order filters are supported. Thus, length(B) == length(A) == 3 is assumed.

actual fun SincMatrix.find(): SincMatrix

expect fun SincMatrix.find(): SincMatrix

actual fun SincMatrix.find(): SincMatrix

fun SincMatrix.findPeaks(): SincMatrix

fun SincMatrix.flip(dim: Int = 1): SincMatrix

actual fun SincMatrix.floor(): SincMatrix

expect fun SincMatrix.floor(): SincMatrix

actual fun SincMatrix.floor(): SincMatrix

fun SincMatrix.get(selector: (end: Int, all: IntRange) -> IntRange): SincMatrix

fun SincMatrix.get(selector: (endR: Int, endC: Int, allR: IntRange, allC: IntRange) -> Pair<IntRange, IntRange>): SincMatrix

kotlin-way of doing get(mlScript: String).

operator fun SincMatrix.get(index: Int): Double

operator fun SincMatrix.get(indices: IntArray): SincMatrix

operator fun SincMatrix.get(indices: IntRange): SincMatrix

operator fun SincMatrix.get(mlRow: Int, mlCol: Int): Double

operator fun SincMatrix.get(mlRows: IntArray, mlCols: IntArray): SincMatrix

operator fun SincMatrix.get(mlRows: IntRange, mlCols: IntRange): SincMatrix

Indexing starts at 1, like Octave/MATLAB.

operator fun SincMatrix.get(mlScript: String): SincMatrix

Supported Octave scripts: 1:5,4:7 and 1:5,4 and 1:5,: and 1,4:7 and :,4:7 and : and 1:end,end:end-1 and 1:5 and 1:end-1 and end:end-1

fun SincMatrix.getCol(mlCol: Int): SincMatrix

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.getCols(mlCols: IntArray): SincMatrix

fun SincMatrix.getCols(mlCols: IntRange): SincMatrix

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.getRow(mlRow: Int): SincMatrix

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.getRows(mlRows: IntArray): SincMatrix

fun SincMatrix.getRows(mlRows: IntRange): SincMatrix

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.getWithLV(logicalVect: SincMatrix): SincMatrix

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.greaterThan(rhs: Double): SincMatrix

infix fun SincMatrix.gt(rhs: Double): SincMatrix

Greater than as in A b

fun SincMatrix.iqr(dim: Int = 1): SincMatrix

The IQR function is compatible with MATLAB 2020b and not with Octave 6.2.0. C.F. bug no. 59636

fun SincMatrix.isEmpty(): Boolean

fun SincMatrix.lessThan(rhs: Double): SincMatrix

infix fun SincMatrix.lt(rhs: Double): SincMatrix

Less than as in A < b

fun SincMatrix.map(transform: (value: Double) -> Double): SincMatrix

fun SincMatrix.mapColumns(transform: (colVector: SincMatrix) -> SincMatrix): SincMatrix

fun SincMatrix.mapColumns(resultLen: Int, transform: (colVector: SincMatrix) -> SincMatrix): SincMatrix

mapColumnsToDouble

fun SincMatrix.mapColumnsToDouble(transform: (colVector: SincMatrix) -> Double): SincMatrix

mapColumnsToList

fun SincMatrix.mapColumnsToList(transform: (colVector: SincMatrix) -> SincMatrix): List<SincMatrix>

fun SincMatrix.mapRows(transform: (rowVector: SincMatrix) -> SincMatrix): SincMatrix

fun SincMatrix.mapRows(resultLen: Int, transform: (rowVector: SincMatrix) -> SincMatrix): SincMatrix

mapRowsToDouble

fun SincMatrix.mapRowsToDouble(transform: (rowVector: SincMatrix) -> Double): SincMatrix

fun SincMatrix.mapRowsToList(transform: (rowVector: SincMatrix) -> SincMatrix): List<SincMatrix>

actual fun SincMatrix.max(dim: Int): SincMatrix

expect fun SincMatrix.max(dim: Int = 1): SincMatrix

actual fun SincMatrix.max(dim: Int): SincMatrix

fun SincMatrix.maxI(dim: Int = 1): SincMatrix

fun SincMatrix.mean(dim: Int = 1): SincMatrix

fun SincMatrix.median(dim: Int = 1): SincMatrix

actual fun SincMatrix.min(dim: Int): SincMatrix

expect fun SincMatrix.min(dim: Int = 1): SincMatrix

actual fun SincMatrix.min(dim: Int): SincMatrix

fun SincMatrix.minI(dim: Int = 1): SincMatrix

operator fun SincMatrix.minus(rhs: SincMatrix): SincMatrix

operator fun SincMatrix.minus(rhs: Double): SincMatrix

fun SincMatrix.movMean(wLen: Int, endpoints: MovWinShape = MovWinShape.SHRINK, dim: Int = 1): SincMatrix

fun SincMatrix.movSum(wLen: Int, endpoints: MovWinShape = MovWinShape.SHRINK, dim: Int = 1): SincMatrix

infix fun SincMatrix.net(rhs: SincMatrix): SincMatrix

Not equals to as in A != B or A ~= B

infix fun SincMatrix.net(rhs: Double): SincMatrix

Not equals to as in A != b or A ~= b

operator fun SincMatrix.not(): SincMatrix

!A or ~A

fun SincMatrix.notEqualsTo(rhs: SincMatrix): SincMatrix

fun SincMatrix.notEqualsTo(rhs: Double): SincMatrix

infix fun SincMatrix.or(rhs: SincMatrix): SincMatrix

actual operator fun SincMatrix.plus(rhs: SincMatrix): SincMatrix

actual operator fun SincMatrix.plus(rhs: Double): SincMatrix

expect operator fun SincMatrix.plus(rhs: SincMatrix): SincMatrix

expect operator fun SincMatrix.plus(rhs: Double): SincMatrix

actual operator fun SincMatrix.plus(rhs: SincMatrix): SincMatrix

actual operator fun SincMatrix.plus(rhs: Double): SincMatrix

fun SincMatrix.quantile(P: DoubleArray, dim: Int = 1): SincMatrix

fun SincMatrix.quat2rotm(): SincMatrix

actual fun SincMatrix.removeAt(index: Int)

actual fun SincMatrix.removeAt(indices: IntArray)

expect fun SincMatrix.removeAt(index: Int)

expect fun SincMatrix.removeAt(indices: IntArray)

Indexing starts at 1, like Octave/MATLAB. This function makes the underlying matrix a row vector.

actual fun SincMatrix.removeAt(index: Int)

actual fun SincMatrix.removeAt(indices: IntArray)

fun SincMatrix.repMat(m: Int, n: Int): SincMatrix

fun SincMatrix.reshape(m: Int, n: Int): SincMatrix

As SincMatrix is row-major, reshape picks data from rows first and also fills rows first. Thus, a reshape such as reshape(A, 4, 3) on SincMatrix is equal to reshape(A', 3, 4)' on MATLAB/Octave.

fun SincMatrix.rms(dim: Int = 1): SincMatrix

fun SincMatrix.rotm2quat(): SincMatrix

fun SincMatrix.round(n: Int): SincMatrix

actual operator fun SincMatrix.set(index: Int, value: Double)

actual operator fun SincMatrix.set(mlRow: Int, mlCol: Int, value: Double)

expect operator fun SincMatrix.set(index: Int, value: Double)

expect operator fun SincMatrix.set(mlRow: Int, mlCol: Int, value: Double)

Indexing starts at 1, like Octave/MATLAB.

actual operator fun SincMatrix.set(index: Int, value: Double)

actual operator fun SincMatrix.set(mlRow: Int, mlCol: Int, value: Double)

fun SincMatrix.setCol(mlCol: Int, values: SincMatrix)

fun SincMatrix.setCol(mlCol: Int, value: Double)

fun SincMatrix.setCol(mlCol: Int, values: DoubleArray)

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.setRow(mlRow: Int, values: SincMatrix)

fun SincMatrix.setRow(mlRow: Int, value: Double)

fun SincMatrix.setRow(mlRow: Int, values: DoubleArray)

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.setWithIndices(indices: SincMatrix, values: SincMatrix)

fun SincMatrix.setWithIndices(indices: SincMatrix, value: Double)

fun SincMatrix.setWithIndices(indices: SincMatrix, values: DoubleArray)

fun SincMatrix.setWithIndices(indices: IntArray, value: Double)

fun SincMatrix.setWithIndices(indices: IntArray, values: DoubleArray)

Indexing starts at 1, like Octave/MATLAB.

fun SincMatrix.setWithLV(logicalVector: SincMatrix, values: SincMatrix)

fun SincMatrix.setWithLV(logicalVector: SincMatrix, value: Double)

fun SincMatrix.setWithLV(logicalVector: SincMatrix, values: DoubleArray)

Indexing with a logical vector containing 0's and 1's.

fun SincMatrix.sgolayFilter(bMatrix: SincMatrix, dim: Int = 1): SincMatrix

This function is like Octave's sgolayfilt, except that instead of order and filter length Savitzky-Golay a pre-computed projection matrix (bMatrix) is supplied.

fun SincMatrix.sign(): SincMatrix

actual fun SincMatrix.sin(): SincMatrix

expect fun SincMatrix.sin(): SincMatrix

actual fun SincMatrix.sin(): SincMatrix

actual fun SincMatrix.solve(b: SincMatrix): SincMatrix

expect fun SincMatrix.solve(b: SincMatrix): SincMatrix

actual fun SincMatrix.solve(b: SincMatrix): SincMatrix

fun SincMatrix.sqrt(): SincMatrix

fun SincMatrix.std(dim: Int = 1): SincMatrix

fun SincMatrix.sum(dim: Int = 1): SincMatrix

actual operator fun SincMatrix.times(rhs: SincMatrix): SincMatrix

actual operator fun SincMatrix.times(rhs: Double): SincMatrix

expect operator fun SincMatrix.times(rhs: SincMatrix): SincMatrix

expect operator fun SincMatrix.times(rhs: Double): SincMatrix

actual operator fun SincMatrix.times(rhs: SincMatrix): SincMatrix

actual operator fun SincMatrix.times(rhs: Double): SincMatrix

actual open override fun toString(): String

expect open override fun toString(): String

actual open override fun toString(): String

operator fun SincMatrix.unaryMinus(): SincMatrix