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211 lines
5.6 KiB
Go
211 lines
5.6 KiB
Go
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// Copyright ©2013 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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"math"
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"math/cmplx"
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"gonum.org/v1/gonum/floats"
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)
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// CMatrix is the basic matrix interface type for complex matrices.
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type CMatrix interface {
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// Dims returns the dimensions of a Matrix.
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Dims() (r, c int)
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// At returns the value of a matrix element at row i, column j.
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// It will panic if i or j are out of bounds for the matrix.
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At(i, j int) complex128
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// H returns the conjugate transpose of the Matrix. Whether H
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// returns a copy of the underlying data is implementation dependent.
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// This method may be implemented using the Conjugate type, which
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// provides an implicit matrix conjugate transpose.
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H() CMatrix
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}
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var (
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_ CMatrix = Conjugate{}
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_ Unconjugator = Conjugate{}
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)
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// Conjugate is a type for performing an implicit matrix conjugate transpose.
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// It implements the Matrix interface, returning values from the conjugate
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// transpose of the matrix within.
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type Conjugate struct {
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CMatrix CMatrix
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}
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// At returns the value of the element at row i and column j of the conjugate
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// transposed matrix, that is, row j and column i of the Matrix field.
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func (t Conjugate) At(i, j int) complex128 {
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z := t.CMatrix.At(j, i)
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return cmplx.Conj(z)
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}
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// Dims returns the dimensions of the transposed matrix. The number of rows returned
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// is the number of columns in the Matrix field, and the number of columns is
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// the number of rows in the Matrix field.
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func (t Conjugate) Dims() (r, c int) {
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c, r = t.CMatrix.Dims()
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return r, c
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}
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// H performs an implicit conjugate transpose by returning the Matrix field.
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func (t Conjugate) H() CMatrix {
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return t.CMatrix
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}
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// Unconjugate returns the Matrix field.
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func (t Conjugate) Unconjugate() CMatrix {
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return t.CMatrix
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}
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// Unconjugator is a type that can undo an implicit conjugate transpose.
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type Unconjugator interface {
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// Note: This interface is needed to unify all of the Conjugate types. In
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// the cmat128 methods, we need to test if the Matrix has been implicitly
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// transposed. If this is checked by testing for the specific Conjugate type
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// then the behavior will be different if the user uses H() or HTri() for a
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// triangular matrix.
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// Unconjugate returns the underlying Matrix stored for the implicit
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// conjugate transpose.
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Unconjugate() CMatrix
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}
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// useC returns a complex128 slice with l elements, using c if it
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// has the necessary capacity, otherwise creating a new slice.
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func useC(c []complex128, l int) []complex128 {
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if l <= cap(c) {
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return c[:l]
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}
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return make([]complex128, l)
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}
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// useZeroedC returns a complex128 slice with l elements, using c if it
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// has the necessary capacity, otherwise creating a new slice. The
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// elements of the returned slice are guaranteed to be zero.
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func useZeroedC(c []complex128, l int) []complex128 {
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if l <= cap(c) {
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c = c[:l]
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zeroC(c)
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return c
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}
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return make([]complex128, l)
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}
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// zeroC zeros the given slice's elements.
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func zeroC(c []complex128) {
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for i := range c {
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c[i] = 0
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}
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}
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// unconjugate unconjugates a matrix if applicable. If a is an Unconjugator, then
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// unconjugate returns the underlying matrix and true. If it is not, then it returns
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// the input matrix and false.
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func unconjugate(a CMatrix) (CMatrix, bool) {
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if ut, ok := a.(Unconjugator); ok {
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return ut.Unconjugate(), true
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}
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return a, false
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}
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// CEqual returns whether the matrices a and b have the same size
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// and are element-wise equal.
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func CEqual(a, b CMatrix) bool {
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ar, ac := a.Dims()
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br, bc := b.Dims()
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if ar != br || ac != bc {
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return false
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}
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// TODO(btracey): Add in fast-paths.
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for i := 0; i < ar; i++ {
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for j := 0; j < ac; j++ {
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if a.At(i, j) != b.At(i, j) {
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return false
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}
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}
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}
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return true
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}
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// CEqualApprox returns whether the matrices a and b have the same size and contain all equal
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// elements with tolerance for element-wise equality specified by epsilon. Matrices
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// with non-equal shapes are not equal.
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func CEqualApprox(a, b CMatrix, epsilon float64) bool {
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// TODO(btracey):
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ar, ac := a.Dims()
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br, bc := b.Dims()
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if ar != br || ac != bc {
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return false
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}
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for i := 0; i < ar; i++ {
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for j := 0; j < ac; j++ {
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if !cEqualWithinAbsOrRel(a.At(i, j), b.At(i, j), epsilon, epsilon) {
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return false
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}
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}
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}
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return true
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}
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// TODO(btracey): Move these into a cmplxs if/when we have one.
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func cEqualWithinAbsOrRel(a, b complex128, absTol, relTol float64) bool {
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if cEqualWithinAbs(a, b, absTol) {
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return true
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}
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return cEqualWithinRel(a, b, relTol)
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}
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// cEqualWithinAbs returns true if a and b have an absolute
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// difference of less than tol.
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func cEqualWithinAbs(a, b complex128, tol float64) bool {
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return a == b || cmplx.Abs(a-b) <= tol
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}
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const minNormalFloat64 = 2.2250738585072014e-308
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// cEqualWithinRel returns true if the difference between a and b
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// is not greater than tol times the greater value.
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func cEqualWithinRel(a, b complex128, tol float64) bool {
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if a == b {
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return true
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}
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if cmplx.IsNaN(a) || cmplx.IsNaN(b) {
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return false
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}
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// Cannot play the same trick as in floats because there are multiple
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// possible infinities.
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if cmplx.IsInf(a) {
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if !cmplx.IsInf(b) {
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return false
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}
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ra := real(a)
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if math.IsInf(ra, 0) {
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if ra == real(b) {
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return floats.EqualWithinRel(imag(a), imag(b), tol)
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}
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return false
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}
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if imag(a) == imag(b) {
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return floats.EqualWithinRel(ra, real(b), tol)
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}
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return false
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}
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if cmplx.IsInf(b) {
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return false
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}
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delta := cmplx.Abs(a - b)
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if delta <= minNormalFloat64 {
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return delta <= tol*minNormalFloat64
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}
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return delta/math.Max(cmplx.Abs(a), cmplx.Abs(b)) <= tol
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}
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