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354 lines
10 KiB
354 lines
10 KiB
// Copyright ©2018 The Gonum Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package mat
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import (
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"gonum.org/v1/gonum/blas"
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"gonum.org/v1/gonum/blas/blas64"
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)
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var (
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triBand TriBanded
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_ Banded = triBand
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_ Triangular = triBand
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triBandDense *TriBandDense
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_ Matrix = triBandDense
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_ Triangular = triBandDense
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_ Banded = triBandDense
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_ TriBanded = triBandDense
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_ RawTriBander = triBandDense
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_ MutableTriBanded = triBandDense
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)
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// TriBanded is a triangular band matrix interface type.
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type TriBanded interface {
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Banded
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// Triangle returns the number of rows/columns in the matrix and its
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// orientation.
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Triangle() (n int, kind TriKind)
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// TTri is the equivalent of the T() method in the Matrix interface but
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// guarantees the transpose is of triangular type.
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TTri() Triangular
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// TriBand returns the number of rows/columns in the matrix, the
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// size of the bandwidth, and the orientation.
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TriBand() (n, k int, kind TriKind)
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// TTriBand is the equivalent of the T() method in the Matrix interface but
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// guarantees the transpose is of banded triangular type.
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TTriBand() TriBanded
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}
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// A RawTriBander can return a blas64.TriangularBand representation of the receiver.
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// Changes to the blas64.TriangularBand.Data slice will be reflected in the original
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// matrix, changes to the N, K, Stride, Uplo and Diag fields will not.
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type RawTriBander interface {
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RawTriBand() blas64.TriangularBand
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}
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// MutableTriBanded is a triangular band matrix interface type that allows
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// elements to be altered.
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type MutableTriBanded interface {
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TriBanded
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SetTriBand(i, j int, v float64)
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}
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var (
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tTriBand TransposeTriBand
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_ Matrix = tTriBand
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_ TriBanded = tTriBand
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_ Untransposer = tTriBand
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_ UntransposeTrier = tTriBand
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_ UntransposeBander = tTriBand
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_ UntransposeTriBander = tTriBand
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)
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// TransposeTriBand is a type for performing an implicit transpose of a TriBanded
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// matrix. It implements the TriBanded interface, returning values from the
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// transpose of the matrix within.
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type TransposeTriBand struct {
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TriBanded TriBanded
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}
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// At returns the value of the element at row i and column j of the transposed
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// matrix, that is, row j and column i of the TriBanded field.
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func (t TransposeTriBand) At(i, j int) float64 {
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return t.TriBanded.At(j, i)
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}
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// Dims returns the dimensions of the transposed matrix. TriBanded matrices are
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// square and thus this is the same size as the original TriBanded.
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func (t TransposeTriBand) Dims() (r, c int) {
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c, r = t.TriBanded.Dims()
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return r, c
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}
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// T performs an implicit transpose by returning the TriBand field.
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func (t TransposeTriBand) T() Matrix {
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return t.TriBanded
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}
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// Triangle returns the number of rows/columns in the matrix and its orientation.
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func (t TransposeTriBand) Triangle() (int, TriKind) {
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n, upper := t.TriBanded.Triangle()
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return n, !upper
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}
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// TTri performs an implicit transpose by returning the TriBand field.
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func (t TransposeTriBand) TTri() Triangular {
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return t.TriBanded
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}
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// Bandwidth returns the upper and lower bandwidths of the matrix.
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func (t TransposeTriBand) Bandwidth() (kl, ku int) {
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kl, ku = t.TriBanded.Bandwidth()
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return ku, kl
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}
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// TBand performs an implicit transpose by returning the TriBand field.
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func (t TransposeTriBand) TBand() Banded {
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return t.TriBanded
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}
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// TriBand returns the number of rows/columns in the matrix, the
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// size of the bandwidth, and the orientation.
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func (t TransposeTriBand) TriBand() (n, k int, kind TriKind) {
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n, k, kind = t.TriBanded.TriBand()
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return n, k, !kind
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}
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// TTriBand performs an implicit transpose by returning the TriBand field.
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func (t TransposeTriBand) TTriBand() TriBanded {
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return t.TriBanded
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}
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// Untranspose returns the Triangular field.
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func (t TransposeTriBand) Untranspose() Matrix {
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return t.TriBanded
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}
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// UntransposeTri returns the underlying Triangular matrix.
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func (t TransposeTriBand) UntransposeTri() Triangular {
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return t.TriBanded
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}
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// UntransposeBand returns the underlying Banded matrix.
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func (t TransposeTriBand) UntransposeBand() Banded {
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return t.TriBanded
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}
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// UntransposeTriBand returns the underlying TriBanded matrix.
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func (t TransposeTriBand) UntransposeTriBand() TriBanded {
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return t.TriBanded
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}
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// TriBandDense represents a triangular band matrix in dense storage format.
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type TriBandDense struct {
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mat blas64.TriangularBand
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}
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// NewTriBandDense creates a new triangular banded matrix with n rows and columns,
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// k bands in the direction of the specified kind. If data == nil,
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// a new slice is allocated for the backing slice. If len(data) == n*(k+1),
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// data is used as the backing slice, and changes to the elements of the returned
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// TriBandDense will be reflected in data. If neither of these is true, NewTriBandDense
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// will panic. k must be at least zero and less than n, otherwise NewTriBandDense will panic.
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//
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// The data must be arranged in row-major order constructed by removing the zeros
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// from the rows outside the band and aligning the diagonals. For example, if
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// the upper-triangular banded matrix
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// 1 2 3 0 0 0
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// 0 4 5 6 0 0
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// 0 0 7 8 9 0
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// 0 0 0 10 11 12
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// 0 0 0 0 13 14
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// 0 0 0 0 0 15
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// becomes (* entries are never accessed)
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// 1 2 3
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// 4 5 6
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// 7 8 9
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// 10 11 12
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// 13 14 *
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// 15 * *
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// which is passed to NewTriBandDense as []float64{1, 2, ..., 15, *, *, *}
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// with k=2 and kind = mat.Upper.
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// The lower triangular banded matrix
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// 1 0 0 0 0 0
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// 2 3 0 0 0 0
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// 4 5 6 0 0 0
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// 0 7 8 9 0 0
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// 0 0 10 11 12 0
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// 0 0 0 13 14 15
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// becomes (* entries are never accessed)
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// * * 1
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// * 2 3
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// 4 5 6
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// 7 8 9
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// 10 11 12
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// 13 14 15
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// which is passed to NewTriBandDense as []float64{*, *, *, 1, 2, ..., 15}
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// with k=2 and kind = mat.Lower.
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// Only the values in the band portion of the matrix are used.
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func NewTriBandDense(n, k int, kind TriKind, data []float64) *TriBandDense {
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if n <= 0 || k < 0 {
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if n == 0 {
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panic(ErrZeroLength)
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}
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panic("mat: negative dimension")
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}
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if k+1 > n {
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panic("mat: band out of range")
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}
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bc := k + 1
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if data != nil && len(data) != n*bc {
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panic(ErrShape)
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}
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if data == nil {
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data = make([]float64, n*bc)
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}
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uplo := blas.Lower
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if kind {
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uplo = blas.Upper
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}
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return &TriBandDense{
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mat: blas64.TriangularBand{
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Uplo: uplo,
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Diag: blas.NonUnit,
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N: n,
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K: k,
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Data: data,
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Stride: bc,
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},
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}
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}
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// Dims returns the number of rows and columns in the matrix.
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func (t *TriBandDense) Dims() (r, c int) {
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return t.mat.N, t.mat.N
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}
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// T performs an implicit transpose by returning the receiver inside a Transpose.
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func (t *TriBandDense) T() Matrix {
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return Transpose{t}
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}
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// IsZero returns whether the receiver is zero-sized. Zero-sized matrices can be the
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// receiver for size-restricted operations. TriBandDense matrices can be zeroed using Reset.
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func (t *TriBandDense) IsZero() bool {
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// It must be the case that t.Dims() returns
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// zeros in this case. See comment in Reset().
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return t.mat.Stride == 0
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}
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// Reset zeros the dimensions of the matrix so that it can be reused as the
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// receiver of a dimensionally restricted operation.
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//
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// See the Reseter interface for more information.
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func (t *TriBandDense) Reset() {
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t.mat.N = 0
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t.mat.Stride = 0
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t.mat.K = 0
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t.mat.Data = t.mat.Data[:0]
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}
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// Zero sets all of the matrix elements to zero.
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func (t *TriBandDense) Zero() {
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if t.isUpper() {
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for i := 0; i < t.mat.N; i++ {
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u := min(1+t.mat.K, t.mat.N-i)
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zero(t.mat.Data[i*t.mat.Stride : i*t.mat.Stride+u])
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}
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return
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}
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for i := 0; i < t.mat.N; i++ {
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l := max(0, t.mat.K-i)
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zero(t.mat.Data[i*t.mat.Stride+l : i*t.mat.Stride+t.mat.K+1])
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}
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}
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func (t *TriBandDense) isUpper() bool {
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return isUpperUplo(t.mat.Uplo)
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}
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func (t *TriBandDense) triKind() TriKind {
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return TriKind(isUpperUplo(t.mat.Uplo))
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}
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// Triangle returns the dimension of t and its orientation. The returned
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// orientation is only valid when n is not zero.
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func (t *TriBandDense) Triangle() (n int, kind TriKind) {
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return t.mat.N, t.triKind()
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}
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// TTri performs an implicit transpose by returning the receiver inside a TransposeTri.
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func (t *TriBandDense) TTri() Triangular {
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return TransposeTri{t}
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}
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// Bandwidth returns the upper and lower bandwidths of the matrix.
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func (t *TriBandDense) Bandwidth() (kl, ku int) {
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if t.isUpper() {
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return 0, t.mat.K
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}
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return t.mat.K, 0
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}
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// TBand performs an implicit transpose by returning the receiver inside a TransposeBand.
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func (t *TriBandDense) TBand() Banded {
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return TransposeBand{t}
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}
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// TriBand returns the number of rows/columns in the matrix, the
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// size of the bandwidth, and the orientation.
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func (t *TriBandDense) TriBand() (n, k int, kind TriKind) {
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return t.mat.N, t.mat.K, TriKind(!t.IsZero()) && t.triKind()
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}
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// TTriBand performs an implicit transpose by returning the receiver inside a TransposeTriBand.
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func (t *TriBandDense) TTriBand() TriBanded {
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return TransposeTriBand{t}
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}
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// RawTriBand returns the underlying blas64.TriangularBand used by the receiver.
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// Changes to the blas64.TriangularBand.Data slice will be reflected in the original
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// matrix, changes to the N, K, Stride, Uplo and Diag fields will not.
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func (t *TriBandDense) RawTriBand() blas64.TriangularBand {
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return t.mat
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}
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// SetRawTriBand sets the underlying blas64.TriangularBand used by the receiver.
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// Changes to elements in the receiver following the call will be reflected
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// in the input.
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//
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// The supplied TriangularBand must not use blas.Unit storage format.
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func (t *TriBandDense) SetRawTriBand(mat blas64.TriangularBand) {
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if mat.Diag == blas.Unit {
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panic("mat: cannot set TriBand with Unit storage")
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}
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t.mat = mat
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}
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// DiagView returns the diagonal as a matrix backed by the original data.
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func (t *TriBandDense) DiagView() Diagonal {
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if t.mat.Diag == blas.Unit {
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panic("mat: cannot take view of Unit diagonal")
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}
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n := t.mat.N
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data := t.mat.Data
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if !t.isUpper() {
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data = data[t.mat.K:]
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}
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return &DiagDense{
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mat: blas64.Vector{
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N: n,
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Inc: t.mat.Stride,
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Data: data[:(n-1)*t.mat.Stride+1],
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},
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}
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}
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