koblas
com.eignex.koblas/core/F64VectorView

F64VectorView

@Serializable
sealed interface F64VectorView : F64VectorLike(source)

The vector storages koblas itself defines, F64DenseVector and F64SparseVector.

Inheritors

Properties

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abstract val size: Int

Number of entries, counting the unstored zeros of a sparse vector.

Functions

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fun F64VectorLike.asum(): Double

Sum of absolute values (BLAS dasum). Sparse vectors sum over stored entries only.

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infix fun F64VectorLike.dot(other: F64VectorLike): Double

aT * b. Any sparse operand goes through F64SparseKernels, walking the stored entries only.

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inline fun F64VectorLike.forEachStored(block: (i: Int, v: Double) -> Unit)

Visit each stored entry as (index, value), in ascending index order for any storage. A F64SparseVector may present numerical zeros as stored, and any other F64VectorLike has every index visited.

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abstract operator fun get(i: Int): Double

The entry at index (i). Throws IndexOutOfBoundsException outside 0 until size, whatever the storage.

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fun F64VectorLike.iamax(): Int

Index of the entry with maximal absolute value (BLAS idamax), -1 for a zero-length vector. Ties resolve to the lowest index, and a vector with no stored entries returns 0.

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fun F64VectorLike.norm2(): Double

Euclidean norm (BLAS dnrm2). Rescales when the sum of squares would overflow or underflow, so any finite input gives the correct norm.

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abstract fun toDoubleArray(): DoubleArray

Materialise into a fresh dense DoubleArray, independent of the internal storage.