github.com/gonum/lapack@v0.0.0-20181123203213-e4cdc5a0bff9/testlapack/dhseqr.go (about) 1 // Copyright ©2016 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 "math" 10 "testing" 11 12 "github.com/gonum/blas" 13 "github.com/gonum/blas/blas64" 14 "github.com/gonum/floats" 15 "github.com/gonum/lapack" 16 ) 17 18 type Dhseqrer interface { 19 Dhseqr(job lapack.EVJob, compz lapack.EVComp, n, ilo, ihi int, h []float64, ldh int, wr, wi []float64, 20 z []float64, ldz int, work []float64, lwork int) int 21 } 22 23 type dhseqrTest struct { 24 n int 25 ilo int 26 ihi int 27 h []float64 28 tol float64 29 30 evWant []complex128 31 } 32 33 func DhseqrTest(t *testing.T, impl Dhseqrer) { 34 for i, tc := range dhseqrTests { 35 for _, job := range []lapack.EVJob{lapack.EigenvaluesOnly, lapack.EigenvaluesAndSchur} { 36 for _, wantz := range []bool{false, true} { 37 for _, extra := range []int{0, 11} { 38 testDhseqr(t, impl, i, tc, job, wantz, extra, true) 39 testDhseqr(t, impl, i, tc, job, wantz, extra, false) 40 } 41 } 42 } 43 } 44 } 45 46 func testDhseqr(t *testing.T, impl Dhseqrer, i int, test dhseqrTest, job lapack.EVJob, wantz bool, extra int, optwork bool) { 47 const tol = 1e-14 48 evTol := test.tol 49 if evTol == 0 { 50 evTol = tol 51 } 52 53 n := test.n 54 ihi := test.ihi 55 ilo := test.ilo 56 h := zeros(n, n, n+extra) 57 copyGeneral(h, blas64.General{Rows: n, Cols: n, Stride: max(1, n), Data: test.h}) 58 hCopy := cloneGeneral(h) 59 60 var compz lapack.EVComp = lapack.None 61 z := blas64.General{Stride: max(1, n)} 62 if wantz { 63 // First, let Dhseqr initialize Z to the identity matrix. 64 compz = lapack.HessEV 65 z = nanGeneral(n, n, n+extra) 66 } 67 68 wr := nanSlice(n) 69 wi := nanSlice(n) 70 71 work := nanSlice(max(1, n)) 72 if optwork { 73 impl.Dhseqr(job, lapack.HessEV, n, ilo, ihi, nil, h.Stride, nil, nil, nil, z.Stride, work, -1) 74 work = nanSlice(int(work[0])) 75 } 76 77 unconverged := impl.Dhseqr(job, compz, n, ilo, ihi, h.Data, h.Stride, wr, wi, z.Data, z.Stride, work, len(work)) 78 prefix := fmt.Sprintf("Case %v: job=%v, compz=%v, n=%v, ilo=%v, ihi=%v, extra=%v, optwk=%v", 79 i, job, compz, n, ilo, ihi, extra, optwork) 80 if unconverged > 0 { 81 t.Log("%v: Dhseqr did not compute all eigenvalues. unconverged=%v", prefix, unconverged) 82 if unconverged <= ilo { 83 t.Fatalf("%v: 0 < unconverged <= ilo", prefix) 84 } 85 } 86 87 // Check that wr and wi have been assigned completely. 88 if floats.HasNaN(wr) { 89 t.Errorf("%v: wr has NaN elements", prefix) 90 } 91 if floats.HasNaN(wi) { 92 t.Errorf("%v: wi has NaN elements", prefix) 93 } 94 95 // Check that complex eigenvalues are stored in consecutive elements as 96 // complex conjugate pairs. 97 for i := 0; i < n; { 98 if unconverged > 0 && i == ilo { 99 // Skip the unconverged eigenvalues. 100 i = unconverged 101 continue 102 } 103 if wi[i] == 0 { 104 // Real eigenvalue. 105 i++ 106 continue 107 } 108 // Complex conjugate pair. 109 if wr[i] != wr[i+1] { 110 t.Errorf("%v: conjugate pair has real parts unequal", prefix) 111 } 112 if wi[i] < 0 { 113 t.Errorf("%v: first in conjugate pair has negative imaginary part", prefix) 114 } 115 if wi[i+1] != -wi[i] { 116 t.Errorf("%v: complex pair is not conjugate", prefix) 117 } 118 i += 2 119 } 120 121 // Check that H contains the Schur form T. 122 if job == lapack.EigenvaluesAndSchur { 123 for i := 0; i < n; { 124 if unconverged > 0 && i == ilo { 125 // Skip the unconverged eigenvalues. 126 i = unconverged 127 continue 128 } 129 if wi[i] == 0 { 130 // Real eigenvalue. 131 if wr[i] != h.Data[i*h.Stride+i] { 132 t.Errorf("%v: T not in Schur form (real eigenvalue not on diagonal)", prefix) 133 } 134 i++ 135 continue 136 } 137 // Complex conjugate pair. 138 im := math.Sqrt(math.Abs(h.Data[(i+1)*h.Stride+i])) * math.Sqrt(math.Abs(h.Data[i*h.Stride+i+1])) 139 if wr[i] != h.Data[i*h.Stride+i] || wr[i] != h.Data[(i+1)*h.Stride+i+1] || 140 math.Abs(wi[i]-im) > tol { 141 t.Errorf("%v: conjugate pair and 2×2 diagonal block don't correspond", prefix) 142 } 143 i += 2 144 } 145 } 146 147 // Check that all the found eigenvalues are really eigenvalues. 148 foundEV := make([]bool, len(test.evWant)) 149 for i := 0; i < n; { 150 if unconverged > 0 && i == ilo { 151 // Skip the unconverged eigenvalues. 152 i = unconverged 153 continue 154 } 155 ev := complex(wr[i], wi[i]) 156 // Use problem-specific tolerance for testing eigenvalues. 157 found, index := containsComplex(test.evWant, ev, evTol) 158 if !found { 159 t.Errorf("%v: unexpected eigenvalue %v", prefix, ev) 160 } else { 161 foundEV[index] = true 162 } 163 i++ 164 } 165 if unconverged == 0 { 166 // Check that all eigenvalues have been found. 167 // This simple check assumes that all eigenvalues are 168 // sufficiently separated from each other at least by evTol. 169 for i := range foundEV { 170 if !foundEV[i] { 171 t.Errorf("%v: %vth eigenvalue not found", prefix, i) 172 } 173 } 174 } 175 176 if !wantz { 177 return 178 } 179 180 // Z must be orthogonal. 181 if !isOrthonormal(z) { 182 t.Errorf("%v: Z is not orthogonal", prefix) 183 } 184 185 if job == lapack.EigenvaluesAndSchur { 186 tz := zeros(n, n, n) 187 blas64.Gemm(blas.NoTrans, blas.Trans, 1, h, z, 0, tz) 188 ztz := zeros(n, n, n) 189 blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, z, tz, 0, ztz) 190 if !equalApproxGeneral(ztz, hCopy, evTol) { 191 t.Errorf("%v: H != Z T Z^T", prefix) 192 } 193 } 194 195 // Restore H. 196 copyGeneral(h, hCopy) 197 // Call Dhseqr again with the identity matrix given explicitly in Q. 198 q := eye(n, n+extra) 199 impl.Dhseqr(job, lapack.OriginalEV, n, ilo, ihi, h.Data, h.Stride, wr, wi, q.Data, q.Stride, work, len(work)) 200 if !equalApproxGeneral(z, q, 0) { 201 t.Errorf("%v: Z and Q are not equal", prefix) 202 } 203 } 204 205 var dhseqrTests = []dhseqrTest{ 206 { 207 n: 0, 208 ilo: 0, 209 ihi: -1, 210 }, 211 { 212 n: 1, 213 ilo: 0, 214 ihi: 0, 215 h: []float64{0}, 216 evWant: []complex128{0}, 217 }, 218 { 219 n: 1, 220 ilo: 0, 221 ihi: 0, 222 h: []float64{7.09965484086874e-1}, 223 evWant: []complex128{7.09965484086874e-1}, 224 }, 225 { 226 n: 2, 227 ilo: 0, 228 ihi: 1, 229 h: []float64{0, 0, 0, 0}, 230 evWant: []complex128{0}, 231 }, 232 { 233 n: 2, 234 ilo: 0, 235 ihi: 1, 236 h: []float64{ 237 1, 0, 238 0, 1, 239 }, 240 evWant: []complex128{1}, 241 }, 242 { 243 n: 2, 244 ilo: 0, 245 ihi: 1, 246 h: []float64{ 247 0, -1, 248 1, 0, 249 }, 250 evWant: []complex128{1i, -1i}, 251 }, 252 { 253 n: 2, 254 ilo: 0, 255 ihi: 1, 256 h: []float64{ 257 6.25219991450918e-1, 8.17510791994361e-1, 258 3.31218891622294e-1, 1.24103744878131e-1, 259 }, 260 evWant: []complex128{9.52203547663447e-1, -2.02879811334398e-1}, 261 }, 262 { 263 n: 4, 264 ilo: 1, 265 ihi: 2, 266 h: []float64{ 267 1, 0, 0, 0, 268 0, 6.25219991450918e-1, 8.17510791994361e-1, 0, 269 0, 3.31218891622294e-1, 1.24103744878131e-1, 0, 270 0, 0, 0, 2, 271 }, 272 evWant: []complex128{1, 2, 9.52203547663447e-1, -2.02879811334398e-1}, 273 }, 274 { 275 n: 2, 276 ilo: 0, 277 ihi: 1, 278 h: []float64{ 279 -1.1219562276608, 6.85473513349362e-1, 280 -8.19951061145131e-1, 1.93728523178888e-1, 281 }, 282 evWant: []complex128{ 283 -4.64113852240958e-1 + 3.59580510817350e-1i, 284 -4.64113852240958e-1 - 3.59580510817350e-1i, 285 }, 286 }, 287 { 288 n: 5, 289 ilo: 0, 290 ihi: 4, 291 h: []float64{ 292 9.57590178533658e-1, -5.10651295522708e-1, 9.24974510015869e-1, -1.30016306879522e-1, 2.92601986926954e-2, 293 -1.08084756637964, 1.77529701001213, -1.36480197632509, 2.23196371219601e-1, 1.12912853063308e-1, 294 0, -8.44075612174676e-1, 1.067867614486, -2.55782915176399e-1, -2.00598563137468e-1, 295 0, 0, -5.67097237165410e-1, 2.07205057427341e-1, 6.54998340743380e-1, 296 0, 0, 0, -1.89441413886041e-1, -4.18125416021786e-1, 297 }, 298 evWant: []complex128{ 299 2.94393309555622, 300 4.97029793606701e-1 + 3.63041654992384e-1i, 301 4.97029793606701e-1 - 3.63041654992384e-1i, 302 -1.74079119166145e-1 + 2.01570009462092e-1i, 303 -1.74079119166145e-1 - 2.01570009462092e-1i, 304 }, 305 }, 306 { 307 // BFW62A matrix from MatrixMarket, balanced and factorized into 308 // upper Hessenberg form in Octave. 309 // Eigenvalues computed by eig function in Octave. 310 // Dhseqr considers this matrix small (n <= 75). 311 n: 62, 312 ilo: 0, 313 ihi: 61, 314 tol: 1e-12, 315 h: []float64{ 316 0.7610708, -0.71474042262732, -1.03373461417302e-17, 8.218284875369092e-18, -4.39003777724509e-18, -7.633870714681998e-18, -9.951525116511751e-18, -6.538760279193677e-18, -1.656240811786753e-18, -4.915424973452908e-18, -7.590492820502813e-18, -4.532592864746854e-18, 1.137360639223451e-18, -2.088794138001457e-18, 4.330727699351238e-18, 4.88172964159538e-18, -6.438459345602974e-18, 7.414402965763168e-18, 8.592387304092668e-19, 2.905505475188102e-18, -5.210204793418634e-18, 2.377023457149656e-18, -1.958364175388968e-18, -8.746122759061733e-20, 1.839015672758814e-18, 3.097454207400904e-18, 1.545856657360309e-18, 1.713923049773744e-21, 1.333951071201153e-18, -1.256151066318485e-18, 5.489655201308922e-19, -2.191335276195054e-18, 3.211054779957158e-18, -4.585099368362507e-19, 4.064807180521144e-18, -3.621561583390336e-18, 4.638803832189033e-19, 1.306132013406548e-18, 7.71710094138792e-19, 2.320760977517361e-18, -6.538298612520761e-19, -3.498839827985687e-18, 2.699116500378558e-18, -1.653627855476782e-18, 7.006984532830204e-19, -2.829108657299736e-18, -5.260772120044258e-18, 1.014346572590618e-18, -1.751563831849658e-18, -1.850186018112724e-19, 2.870415308417256e-18, -8.423700664162806e-19, 3.498345394735042e-19, 1.448350507022323e-18, -3.119800500343431e-18, 4.170966784863917e-18, -4.413795207992463e-19, -2.550853151356032e-18, 2.058575286932081e-18, 1.11609155804576e-18, -2.819648393130598e-18, -2.691434041700446e-19, 317 -0.71474042262732, 1.938395745278447, -1.179041092366627, 2.994496337305918e-17, -1.886890458028042e-17, -1.696051150581149e-17, -1.066654178739982e-17, -6.29828959344471e-18, -3.017613522337327e-18, -6.087774183044001e-18, 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n: 104, 645 ilo: 2, 646 ihi: 101, 647 tol: 1e-10, 648 h: []float64{ 649 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 650 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 651 0, 0, -1063.761, -960.3970563202379, -0.0006079108185996773, -0.009201940691316367, 0.002442836240270196, 0.01550988534551903, -0.005482455008401117, -0.02216870959395947, 0.009747347615349792, 0.02941831540681939, -0.01530136178573213, -0.03750794345694437, 0.02225359194453896, 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