koblas
com.eignex.koblas/MatrixOps.kt

column

fun F64DenseMatrix.column(j: Int): F64DenseVector(source)

Column j as a fresh vector, copied rather than viewed.

ger

fun F64DenseMatrix.ger(alpha: Double, x: F64VectorLike, y: F64VectorLike)(source)

Rank-one update A = A + alpha * x * yT (BLAS dger) in place. Subtract by passing alpha = -1.0.

norm1

fun F64DenseMatrix.norm1(): Double(source)

Matrix 1-norm, the maximum absolute column sum (LAPACK dlange with norm 1). This is the anorm rcond expects, computed before the matrix is factored.

normFro

fun F64DenseMatrix.normFro(): Double(source)

Frobenius norm (LAPACK dlange with norm F). Rescales like norm2 against overflow and underflow.

normInf

fun F64DenseMatrix.normInf(workspace: Workspace? = null): Double(source)

Matrix infinity-norm, the maximum absolute row sum (LAPACK dlange with norm I).

row

fun F64DenseMatrix.row(i: Int): F64DenseVector(source)

Row i as a fresh vector, gathered across the backing. Prefer column where the algorithm allows.

scaleColumns

fun F64DenseMatrix.scaleColumns(d: DoubleArray)(source)

Scale column j by d(j) in place, the product A * D for the diagonal D with entries d(j).

fun F64SparseMatrix.scaleColumns(d: DoubleArray)(source)

Scale column j by d(j) in place for a CSC matrix. The pattern is untouched.

scaleRows

fun F64DenseMatrix.scaleRows(d: DoubleArray)(source)

Scale row i by d(i) in place, the product D * A for the diagonal D with entries d(i).

syr

fun F64DenseMatrix.syr(alpha: Double, x: F64VectorLike, uplo: Uplo = Uplo.FULL)(source)

Symmetric rank-1 update A += alpha * x * xT (BLAS dsyr) in place. See F64Blas.syr.

syr2

fun F64DenseMatrix.syr2(alpha: Double, x: F64VectorLike, y: F64VectorLike, uplo: Uplo = Uplo.FULL)(source)

Symmetric rank-2 update A += alpha * (x * yT + y * xT) (BLAS dsyr2) in place. See F64Blas.syr2.

transpose

fun F64DenseMatrix.transpose(): F64DenseMatrix(source)

Fresh transposed matrix. For products, prefer the transpose flags on gemv and gemm, which read the original storage without copying.

fun F64SparseMatrix.transpose(): F64SparseMatrix(source)

Fresh transposed matrix, still CSC, which makes this the CSC-to-CSR conversion as well. Explicitly stored zeros survive.

withColumn

fun F64SparseMatrix.withColumn(column: Int, entering: F64SparseVector): F64SparseMatrix(source)

Fresh matrix with column column replaced by entering, still CSC. The replacement is structural, so an explicitly stored zero in entering survives as one.