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			96 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
			
		
		
	
	
			96 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
| // Copyright ©2015 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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| 
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| package testlapack
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| 
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| import (
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| 	"testing"
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| 
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| 	"golang.org/x/exp/rand"
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| 
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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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| 
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| type Dgetrier interface {
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| 	Dgetrfer
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| 	Dgetri(n int, a []float64, lda int, ipiv []int, work []float64, lwork int) bool
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| }
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| 
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| func DgetriTest(t *testing.T, impl Dgetrier) {
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| 	const tol = 1e-13
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| 	rnd := rand.New(rand.NewSource(1))
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| 	bi := blas64.Implementation()
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| 	for _, test := range []struct {
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| 		n, lda int
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| 	}{
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| 		{5, 0},
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| 		{5, 8},
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| 		{45, 0},
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| 		{45, 50},
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| 		{63, 70},
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| 		{64, 70},
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| 		{65, 0},
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| 		{65, 70},
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| 		{66, 70},
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| 		{150, 0},
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| 		{150, 250},
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| 	} {
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| 		n := test.n
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| 		lda := test.lda
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| 		if lda == 0 {
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| 			lda = n
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| 		}
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| 		// Generate a random well conditioned matrix
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| 		perm := rnd.Perm(n)
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| 		a := make([]float64, n*lda)
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| 		for i := 0; i < n; i++ {
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| 			a[i*lda+perm[i]] = 1
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| 		}
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| 		for i := range a {
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| 			a[i] += 0.01 * rnd.Float64()
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| 		}
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| 		aCopy := make([]float64, len(a))
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| 		copy(aCopy, a)
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| 		ipiv := make([]int, n)
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| 		// Compute LU decomposition.
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| 		impl.Dgetrf(n, n, a, lda, ipiv)
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| 		// Test with various workspace sizes.
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| 		for _, wl := range []worklen{minimumWork, mediumWork, optimumWork} {
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| 			ainv := make([]float64, len(a))
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| 			copy(ainv, a)
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| 
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| 			var lwork int
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| 			switch wl {
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| 			case minimumWork:
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| 				lwork = max(1, n)
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| 			case mediumWork:
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| 				work := make([]float64, 1)
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| 				impl.Dgetri(n, ainv, lda, ipiv, work, -1)
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| 				lwork = max(int(work[0])-2*n, n)
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| 			case optimumWork:
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| 				work := make([]float64, 1)
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| 				impl.Dgetri(n, ainv, lda, ipiv, work, -1)
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| 				lwork = int(work[0])
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| 			}
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| 			work := make([]float64, lwork)
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| 
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| 			// Compute inverse.
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| 			ok := impl.Dgetri(n, ainv, lda, ipiv, work, lwork)
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| 			if !ok {
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| 				t.Errorf("Unexpected singular matrix.")
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| 			}
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| 
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| 			// Check that A(inv) * A = I.
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| 			ans := make([]float64, len(ainv))
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| 			bi.Dgemm(blas.NoTrans, blas.NoTrans, n, n, n, 1, aCopy, lda, ainv, lda, 0, ans, lda)
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| 			// The tolerance is so high because computing matrix inverses is very unstable.
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| 			dist := distFromIdentity(n, ans, lda)
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| 			if dist > tol {
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| 				t.Errorf("|Inv(A) * A - I|_inf = %v is too large. n = %v, lda = %v", dist, n, lda)
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| 			}
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| 		}
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| 	}
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| }
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