Package space.kscience.kmath.real
Types
Functions
appendColumn
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inline fun RealMatrix.appendColumn(crossinline mapper: (Buffer<Double>) -> Double): RealMatrix
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average
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averageByColumn
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cos
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div
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DoubleVector
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exp
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extractColumn
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extractColumns
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fromRange
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fun Buffer.Companion.fromRange(range: ClosedFloatingPointRange<Double>, numberOfPoints: Int): DoubleBuffer
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Create a Buffer-based grid with equally distributed numberOfPoints points.
inverseWithLup
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ln
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log10
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map
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inline fun RealMatrix.map(crossinline transform: (Double) -> Double): RealMatrix
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mapIndexed
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inline fun DoubleVector.mapIndexed(transform: (index: Int, value: Double) -> Double): DoubleVector
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max
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maxByColumn
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min
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minByColumn
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minus
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plus
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pow
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realMatrix
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fun realMatrix(rowNum: Int, colNum: Int): MatrixBuilder<Double, DoubleField>
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fun realMatrix(rowNum: Int, colNum: Int, initializer: DoubleField.(i: Int, j: Int) -> Double): RealMatrix
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repeatStackVertical
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same
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sin
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sqrt
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square
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step
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infix fun ClosedFloatingPointRange<Double>.step(step: Double): DoubleBuffer
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sum
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sumByColumn
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tan
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times
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toMatrix
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unaryMinus
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withFixedStep
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fun Buffer.Companion.withFixedStep(range: ClosedFloatingPointRange<Double>, step: Double): DoubleBuffer
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Create a Buffer-based grid with equally distributed points with a fixed step.