github.com/jingcheng-WU/gonum@v0.9.1-0.20210323123734-f1a2a11a8f7b/lapack/testlapack/dlauu2.go (about)

     1  // Copyright ©2018 The Gonum Authors. All rights reserved.
     2  // Use of this source code is governed by a BSD-style
     3  // license that can be found in the LICENSE file.
     4  
     5  package testlapack
     6  
     7  import (
     8  	"fmt"
     9  	"testing"
    10  
    11  	"golang.org/x/exp/rand"
    12  
    13  	"github.com/jingcheng-WU/gonum/blas"
    14  	"github.com/jingcheng-WU/gonum/blas/blas64"
    15  	"github.com/jingcheng-WU/gonum/lapack"
    16  )
    17  
    18  type Dlauu2er interface {
    19  	Dlauu2(uplo blas.Uplo, n int, a []float64, lda int)
    20  }
    21  
    22  func Dlauu2Test(t *testing.T, impl Dlauu2er) {
    23  	for _, uplo := range []blas.Uplo{blas.Upper, blas.Lower} {
    24  		name := uploToString(uplo)
    25  		t.Run(name, func(t *testing.T) {
    26  			ns := []int{0, 1, 2, 3, 4, 5, 10, 25}
    27  			dlauuTest(t, impl.Dlauu2, uplo, ns)
    28  		})
    29  	}
    30  }
    31  
    32  func dlauuTest(t *testing.T, dlauu func(blas.Uplo, int, []float64, int), uplo blas.Uplo, ns []int) {
    33  	const tol = 1e-13
    34  
    35  	bi := blas64.Implementation()
    36  	rnd := rand.New(rand.NewSource(1))
    37  
    38  	for _, n := range ns {
    39  		for _, lda := range []int{max(1, n), n + 11} {
    40  			prefix := fmt.Sprintf("n=%v,lda=%v", n, lda)
    41  
    42  			// Allocate n×n matrix A and fill it with random numbers.
    43  			// Only its uplo triangle will be used below.
    44  			a := make([]float64, n*lda)
    45  			for i := range a {
    46  				a[i] = rnd.NormFloat64()
    47  			}
    48  			// Create a copy of A.
    49  			aCopy := make([]float64, len(a))
    50  			copy(aCopy, a)
    51  
    52  			// Compute U*Uᵀ or Lᵀ*L using Dlauu?.
    53  			dlauu(uplo, n, a, lda)
    54  
    55  			if n == 0 {
    56  				continue
    57  			}
    58  
    59  			// * Check that the triangle of A opposite to uplo has not been modified.
    60  			// * Convert the result of Dlauu? into a dense symmetric matrix.
    61  			// * Zero out the triangle in aCopy opposite to uplo.
    62  			if uplo == blas.Upper {
    63  				if !sameLowerTri(n, aCopy, lda, a, lda) {
    64  					t.Errorf("%v: unexpected modification in lower triangle", prefix)
    65  					continue
    66  				}
    67  				for i := 1; i < n; i++ {
    68  					for j := 0; j < i; j++ {
    69  						a[i*lda+j] = a[j*lda+i]
    70  						aCopy[i*lda+j] = 0
    71  					}
    72  				}
    73  			} else {
    74  				if !sameUpperTri(n, aCopy, lda, a, lda) {
    75  					t.Errorf("%v: unexpected modification in upper triangle", prefix)
    76  					continue
    77  				}
    78  				for i := 0; i < n-1; i++ {
    79  					for j := i + 1; j < n; j++ {
    80  						a[i*lda+j] = a[j*lda+i]
    81  						aCopy[i*lda+j] = 0
    82  					}
    83  				}
    84  			}
    85  
    86  			// Compute U*Uᵀ or Lᵀ*L using Dgemm with U and L
    87  			// represented as dense triangular matrices.
    88  			r := cloneGeneral(blas64.General{Rows: n, Cols: n, Data: a, Stride: lda})
    89  			if uplo == blas.Upper {
    90  				// Use aCopy as a dense representation of the upper triangular U.
    91  				u := aCopy
    92  				ldu := lda
    93  				// Compute U*Uᵀ - A and store the result into R.
    94  				bi.Dgemm(blas.NoTrans, blas.Trans, n, n, n,
    95  					1, u, ldu, u, ldu, -1, r.Data, r.Stride)
    96  			} else {
    97  				// Use aCopy as a dense representation of the lower triangular L.
    98  				l := aCopy
    99  				ldl := lda
   100  				// Compute Lᵀ*L - A and store the result into R.
   101  				bi.Dgemm(blas.Trans, blas.NoTrans, n, n, n,
   102  					1, l, ldl, l, ldl, -1, r.Data, r.Stride)
   103  			}
   104  			resid := dlange(lapack.MaxColumnSum, r.Rows, r.Cols, r.Data, r.Stride)
   105  			if resid > tol*float64(n) {
   106  				t.Errorf("%v: unexpected result", prefix)
   107  			}
   108  		}
   109  	}
   110  }