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

     1  // Copyright ©2019 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  	"math/rand"
    12  
    13  	"github.com/gopherd/gonum/blas"
    14  	"github.com/gopherd/gonum/blas/blas64"
    15  )
    16  
    17  type Dpotrier interface {
    18  	Dpotri(uplo blas.Uplo, n int, a []float64, lda int) bool
    19  
    20  	Dpotrf(uplo blas.Uplo, n int, a []float64, lda int) bool
    21  }
    22  
    23  func DpotriTest(t *testing.T, impl Dpotrier) {
    24  	for _, uplo := range []blas.Uplo{blas.Upper, blas.Lower} {
    25  		name := uploToString(uplo)
    26  		t.Run(name, func(t *testing.T) {
    27  			// Include small and large sizes to make sure that both
    28  			// unblocked and blocked paths are taken.
    29  			ns := []int{0, 1, 2, 3, 4, 5, 10, 25, 31, 32, 33, 63, 64, 65, 127, 128, 129}
    30  			const tol = 1e-12
    31  
    32  			bi := blas64.Implementation()
    33  			rnd := rand.New(rand.NewSource(1))
    34  			for _, n := range ns {
    35  				for _, lda := range []int{max(1, n), n + 11} {
    36  					prefix := fmt.Sprintf("n=%v,lda=%v", n, lda)
    37  
    38  					// Generate a random diagonal matrix D with positive entries.
    39  					d := make([]float64, n)
    40  					Dlatm1(d, 3, 10000, false, 2, rnd)
    41  
    42  					// Construct a positive definite matrix A as
    43  					//  A = U * D * Uᵀ
    44  					// where U is a random orthogonal matrix.
    45  					a := make([]float64, n*lda)
    46  					Dlagsy(n, 0, d, a, lda, rnd, make([]float64, 2*n))
    47  					// Create a copy of A.
    48  					aCopy := make([]float64, len(a))
    49  					copy(aCopy, a)
    50  					// Compute the Cholesky factorization of A.
    51  					ok := impl.Dpotrf(uplo, n, a, lda)
    52  					if !ok {
    53  						t.Fatalf("%v: unexpected Cholesky failure", prefix)
    54  					}
    55  
    56  					// Compute the inverse inv(A).
    57  					ok = impl.Dpotri(uplo, n, a, lda)
    58  					if !ok {
    59  						t.Errorf("%v: unexpected failure", prefix)
    60  						continue
    61  					}
    62  
    63  					// Check that the triangle of A opposite to uplo has not been modified.
    64  					if uplo == blas.Upper && !sameLowerTri(n, aCopy, lda, a, lda) {
    65  						t.Errorf("%v: unexpected modification in lower triangle", prefix)
    66  						continue
    67  					}
    68  					if uplo == blas.Lower && !sameUpperTri(n, aCopy, lda, a, lda) {
    69  						t.Errorf("%v: unexpected modification in upper triangle", prefix)
    70  						continue
    71  					}
    72  
    73  					// Change notation for the sake of clarity.
    74  					ainv := a
    75  					ldainv := lda
    76  
    77  					// Expand ainv into a full dense matrix so that we can call Dsymm below.
    78  					if uplo == blas.Upper {
    79  						for i := 1; i < n; i++ {
    80  							for j := 0; j < i; j++ {
    81  								ainv[i*ldainv+j] = ainv[j*ldainv+i]
    82  							}
    83  						}
    84  					} else {
    85  						for i := 0; i < n-1; i++ {
    86  							for j := i + 1; j < n; j++ {
    87  								ainv[i*ldainv+j] = ainv[j*ldainv+i]
    88  							}
    89  						}
    90  					}
    91  
    92  					// Compute A*inv(A) and store the result into want.
    93  					ldwant := max(1, n)
    94  					want := make([]float64, n*ldwant)
    95  					bi.Dsymm(blas.Left, uplo, n, n, 1, aCopy, lda, ainv, ldainv, 0, want, ldwant)
    96  
    97  					// Check that want is close to the identity matrix.
    98  					dist := distFromIdentity(n, want, ldwant)
    99  					if dist > tol {
   100  						t.Errorf("%v: |A * inv(A) - I| = %v is too large", prefix, dist)
   101  					}
   102  				}
   103  			}
   104  		})
   105  	}
   106  }