koblas
com.eignex.koblas/VectorOps.kt

asum

fun F64VectorLike.asum(): Double(source)

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

axpy

fun F64DenseVector.axpy(alpha: Double, x: F64VectorLike)(source)

y = y + alpha * x. A sparse x touches only the positions it stores.

copy

fun copy(src: F64VectorLike, dst: F64DenseVector)(source)

dst = src (BLAS dcopy). A sparse source zero-fills the destination first, so nothing survives.

dot

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

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

forEachStored

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

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.

iamax

fun F64VectorLike.iamax(): Int(source)

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.

norm2

fun F64VectorLike.norm2(): Double(source)

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

scale

fun F64DenseVector.scale(alpha: Double)(source)

v = alpha * v.

swap

fun swap(a: F64DenseVector, b: F64DenseVector)(source)

Exchange the contents of a and b (BLAS dswap).