github.com/gopherd/gonum@v0.0.4/lapack/testlapack/dlasr.go (about)

     1  // Copyright ©2015 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  	"math"
     9  	"testing"
    10  
    11  	"math/rand"
    12  
    13  	"github.com/gopherd/gonum/blas"
    14  	"github.com/gopherd/gonum/blas/blas64"
    15  	"github.com/gopherd/gonum/floats"
    16  	"github.com/gopherd/gonum/lapack"
    17  )
    18  
    19  type Dlasrer interface {
    20  	Dlasr(side blas.Side, pivot lapack.Pivot, direct lapack.Direct, m, n int, c, s, a []float64, lda int)
    21  }
    22  
    23  func DlasrTest(t *testing.T, impl Dlasrer) {
    24  	rnd := rand.New(rand.NewSource(1))
    25  	for _, side := range []blas.Side{blas.Left, blas.Right} {
    26  		for _, pivot := range []lapack.Pivot{lapack.Variable, lapack.Top, lapack.Bottom} {
    27  			for _, direct := range []lapack.Direct{lapack.Forward, lapack.Backward} {
    28  				for _, test := range []struct {
    29  					m, n, lda int
    30  				}{
    31  					{5, 5, 0},
    32  					{5, 10, 0},
    33  					{10, 5, 0},
    34  
    35  					{5, 5, 20},
    36  					{5, 10, 20},
    37  					{10, 5, 20},
    38  				} {
    39  					m := test.m
    40  					n := test.n
    41  					lda := test.lda
    42  					if lda == 0 {
    43  						lda = n
    44  					}
    45  					// Allocate n×n matrix A and fill it with random numbers.
    46  					a := make([]float64, m*lda)
    47  					for i := range a {
    48  						a[i] = rnd.Float64()
    49  					}
    50  
    51  					// Allocate slices for implicitly
    52  					// represented rotation matrices.
    53  					var s, c []float64
    54  					if side == blas.Left {
    55  						s = make([]float64, m-1)
    56  						c = make([]float64, m-1)
    57  					} else {
    58  						s = make([]float64, n-1)
    59  						c = make([]float64, n-1)
    60  					}
    61  					for k := range s {
    62  						// Generate a random number in [0,2*pi).
    63  						theta := rnd.Float64() * 2 * math.Pi
    64  						s[k] = math.Sin(theta)
    65  						c[k] = math.Cos(theta)
    66  					}
    67  					aCopy := make([]float64, len(a))
    68  					copy(a, aCopy)
    69  
    70  					// Apply plane a sequence of plane
    71  					// rotation in s and c to the matrix A.
    72  					impl.Dlasr(side, pivot, direct, m, n, c, s, a, lda)
    73  
    74  					// Compute a reference solution by multiplying A
    75  					// by explicitly formed rotation matrix P.
    76  					pSize := m
    77  					if side == blas.Right {
    78  						pSize = n
    79  					}
    80  					// Allocate matrix P.
    81  					p := blas64.General{
    82  						Rows:   pSize,
    83  						Cols:   pSize,
    84  						Stride: pSize,
    85  						Data:   make([]float64, pSize*pSize),
    86  					}
    87  					// Allocate matrix P_k.
    88  					pk := blas64.General{
    89  						Rows:   pSize,
    90  						Cols:   pSize,
    91  						Stride: pSize,
    92  						Data:   make([]float64, pSize*pSize),
    93  					}
    94  					ptmp := blas64.General{
    95  						Rows:   pSize,
    96  						Cols:   pSize,
    97  						Stride: pSize,
    98  						Data:   make([]float64, pSize*pSize),
    99  					}
   100  					// Initialize P to the identity matrix.
   101  					for i := 0; i < pSize; i++ {
   102  						p.Data[i*p.Stride+i] = 1
   103  						ptmp.Data[i*p.Stride+i] = 1
   104  					}
   105  					// Iterate over the sequence of plane rotations.
   106  					for k := range s {
   107  						// Set P_k to the identity matrix.
   108  						for i := range p.Data {
   109  							pk.Data[i] = 0
   110  						}
   111  						for i := 0; i < pSize; i++ {
   112  							pk.Data[i*p.Stride+i] = 1
   113  						}
   114  						// Set the corresponding elements of P_k.
   115  						switch pivot {
   116  						case lapack.Variable:
   117  							pk.Data[k*p.Stride+k] = c[k]
   118  							pk.Data[k*p.Stride+k+1] = s[k]
   119  							pk.Data[(k+1)*p.Stride+k] = -s[k]
   120  							pk.Data[(k+1)*p.Stride+k+1] = c[k]
   121  						case lapack.Top:
   122  							pk.Data[0] = c[k]
   123  							pk.Data[k+1] = s[k]
   124  							pk.Data[(k+1)*p.Stride] = -s[k]
   125  							pk.Data[(k+1)*p.Stride+k+1] = c[k]
   126  						case lapack.Bottom:
   127  							pk.Data[(pSize-1-k)*p.Stride+pSize-k-1] = c[k]
   128  							pk.Data[(pSize-1-k)*p.Stride+pSize-1] = s[k]
   129  							pk.Data[(pSize-1)*p.Stride+pSize-1-k] = -s[k]
   130  							pk.Data[(pSize-1)*p.Stride+pSize-1] = c[k]
   131  						}
   132  						// Compute P <- P_k * P or P <- P * P_k.
   133  						if direct == lapack.Forward {
   134  							blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, pk, ptmp, 0, p)
   135  						} else {
   136  							blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, ptmp, pk, 0, p)
   137  						}
   138  						copy(ptmp.Data, p.Data)
   139  					}
   140  
   141  					aMat := blas64.General{
   142  						Rows:   m,
   143  						Cols:   n,
   144  						Stride: lda,
   145  						Data:   make([]float64, m*lda),
   146  					}
   147  					copy(a, aCopy)
   148  					newA := blas64.General{
   149  						Rows:   m,
   150  						Cols:   n,
   151  						Stride: lda,
   152  						Data:   make([]float64, m*lda),
   153  					}
   154  					// Compute P * A or A * P.
   155  					if side == blas.Left {
   156  						blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, p, aMat, 0, newA)
   157  					} else {
   158  						blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, aMat, p, 0, newA)
   159  					}
   160  					// Compare the result from Dlasr with the reference solution.
   161  					if !floats.EqualApprox(newA.Data, a, 1e-12) {
   162  						t.Errorf("A update mismatch")
   163  					}
   164  				}
   165  			}
   166  		}
   167  	}
   168  }