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			74 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
			
		
		
	
	
			74 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
| // Copyright ©2016 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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| 	"math"
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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 Dlacn2er interface {
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| 	Dlacn2(n int, v, x []float64, isgn []int, est float64, kase int, isave *[3]int) (float64, int)
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| }
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| 
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| func Dlacn2Test(t *testing.T, impl Dlacn2er) {
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| 	rnd := rand.New(rand.NewSource(1))
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| 	for _, n := range []int{1, 2, 3, 4, 5, 7, 10, 15, 20, 100} {
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| 		for cas := 0; cas < 10; cas++ {
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| 			a := randomGeneral(n, n, n, rnd)
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| 
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| 			// Compute the 1-norm of A explicitly.
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| 			var norm1 float64
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| 			for j := 0; j < n; j++ {
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| 				var sum float64
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| 				for i := 0; i < n; i++ {
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| 					sum += math.Abs(a.Data[i*a.Stride+j])
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| 				}
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| 				if sum > norm1 {
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| 					norm1 = sum
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| 				}
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| 			}
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| 
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| 			// Compute the estimate of 1-norm using Dlanc2.
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| 			x := make([]float64, n)
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| 			work := make([]float64, n)
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| 			v := make([]float64, n)
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| 			isgn := make([]int, n)
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| 			var (
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| 				kase  int
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| 				isave [3]int
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| 				got   float64
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| 			)
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| 		loop:
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| 			for {
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| 				got, kase = impl.Dlacn2(n, v, x, isgn, got, kase, &isave)
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| 				switch kase {
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| 				default:
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| 					panic("Dlacn2 returned invalid value of kase")
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| 				case 0:
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| 					break loop
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| 				case 1:
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| 					blas64.Gemv(blas.NoTrans, 1, a, blas64.Vector{Data: x, Inc: 1}, 0, blas64.Vector{Data: work, Inc: 1})
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| 					copy(x, work)
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| 				case 2:
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| 					blas64.Gemv(blas.Trans, 1, a, blas64.Vector{Data: x, Inc: 1}, 0, blas64.Vector{Data: work, Inc: 1})
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| 					copy(x, work)
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| 				}
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| 			}
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| 
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| 			// Check that got is either accurate enough or a
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| 			// lower estimate of the 1-norm of A.
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| 			if math.Abs(got-norm1) > 1e-8 && got > norm1 {
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| 				t.Errorf("Case n=%v: not lower estimate. 1-norm %v, estimate %v", n, norm1, got)
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| 			}
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| 		}
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| 	}
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| }
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