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[bytom/vapor.git] / vendor / gonum.org / v1 / gonum / mat / hogsvd_example_test.go
diff --git a/vendor/gonum.org/v1/gonum/mat/hogsvd_example_test.go b/vendor/gonum.org/v1/gonum/mat/hogsvd_example_test.go
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-// Copyright ©2017 The Gonum Authors. All rights reserved.
-// Use of this source code is governed by a BSD-style
-// license that can be found in the LICENSE file.
-
-package mat_test
-
-import (
-       "fmt"
-       "log"
-
-       "gonum.org/v1/gonum/mat"
-)
-
-func ExampleHOGSVD() {
-       // Perform an HOGSVD factorization on food production/consumption data for the
-       // three years 1990, 2000 and 2014.
-       //
-       // See Ponnapalli et al. doi:10.1371/journal.pone.0028072 and
-       // Alter at al. doi:10.1073/pnas.0530258100 for more details.
-       var gsvd mat.HOGSVD
-       ok := gsvd.Factorize(FAO.Africa, FAO.Asia, FAO.LatinAmericaCaribbean, FAO.Oceania)
-       if !ok {
-               log.Fatalf("HOGSVD factorization failed: %v", gsvd.Err())
-       }
-
-       for i, n := range []string{"Africa", "Asia", "Latin America/Caribbean", "Oceania"} {
-               u := gsvd.UTo(nil, i)
-               s := gsvd.Values(nil, i)
-               fmt.Printf("%s\n\ts_%d = %.4f\n\n\tU_%[2]d = %.4[4]f\n",
-                       n, i, s, mat.Formatted(u, mat.Prefix("\t      ")))
-       }
-
-       v := gsvd.VTo(nil)
-       fmt.Printf("\nCommon basis vectors\n\n\tV^T = %.4f",
-               mat.Formatted(v.T(), mat.Prefix("\t      ")))
-
-       // Output:
-       //
-       // Africa
-       //      s_0 = [45507.3278 18541.9293 21503.0778]
-       //
-       //      U_0 = ⎡-0.0005  -0.0039  -0.0019⎤
-       //            ⎢-0.0010  -0.0007  -0.0012⎥
-       //            ⎢-1.0000  -0.0507  -0.9964⎥
-       //            ⎢-0.0022  -0.2906  -0.0415⎥
-       //            ⎢ 0.0001  -0.0127  -0.0016⎥
-       //            ⎢ 0.0003  -0.0067  -0.0010⎥
-       //            ⎢ 0.0003  -0.0022  -0.0003⎥
-       //            ⎢-0.0086  -0.9550   0.0734⎥
-       //            ⎢ 0.0017   0.0002   0.0059⎥
-       //            ⎢-0.0002  -0.0088  -0.0014⎥
-       //            ⎢-0.0006  -0.0078  -0.0001⎥
-       //            ⎢-0.0005  -0.0076   0.0003⎥
-       //            ⎢ 0.0001  -0.0090   0.0008⎥
-       //            ⎢-0.0005  -0.0050   0.0029⎥
-       //            ⎢-0.0011  -0.0078  -0.0012⎥
-       //            ⎢-0.0014  -0.0058  -0.0002⎥
-       //            ⎢ 0.0007  -0.0095   0.0020⎥
-       //            ⎢-0.0008  -0.0081  -0.0009⎥
-       //            ⎢ 0.0004  -0.0092   0.0006⎥
-       //            ⎢-0.0007  -0.0079  -0.0006⎥
-       //            ⎣-0.0011  -0.0076  -0.0010⎦
-       // Asia
-       //      s_1 = [77228.2804 8413.7024 14711.1879]
-       //
-       //      U_1 = ⎡ 0.0005  -0.0080   0.0011⎤
-       //            ⎢ 0.0008  -0.0108   0.0016⎥
-       //            ⎢-0.9998   0.0612   0.9949⎥
-       //            ⎢ 0.0007  -0.5734  -0.0468⎥
-       //            ⎢ 0.0001  -0.0265  -0.0022⎥
-       //            ⎢ 0.0001  -0.0165  -0.0019⎥
-       //            ⎢ 0.0000  -0.0070  -0.0013⎥
-       //            ⎢ 0.0196  -0.8148   0.0893⎥
-       //            ⎢ 0.0002  -0.0063   0.0012⎥
-       //            ⎢-0.0001  -0.0135  -0.0013⎥
-       //            ⎢-0.0004  -0.0135   0.0019⎥
-       //            ⎢-0.0005  -0.0132   0.0014⎥
-       //            ⎢ 0.0003  -0.0155   0.0045⎥
-       //            ⎢-0.0003  -0.0130   0.0025⎥
-       //            ⎢-0.0007  -0.0105   0.0016⎥
-       //            ⎢-0.0006  -0.0129   0.0007⎥
-       //            ⎢-0.0006  -0.0178  -0.0023⎥
-       //            ⎢-0.0003  -0.0149   0.0016⎥
-       //            ⎢-0.0001  -0.0134   0.0030⎥
-       //            ⎢-0.0004  -0.0154   0.0010⎥
-       //            ⎣-0.0009  -0.0147  -0.0019⎦
-       // Latin America/Caribbean
-       //      s_2 = [274.1364 20736.3116 729.6947]
-       //
-       //      U_2 = ⎡ 0.1060  -0.0021   0.0174⎤
-       //            ⎢ 0.1415  -0.0016   0.0289⎥
-       //            ⎢ 0.2350  -0.2669  -0.9212⎥
-       //            ⎢ 0.0290  -0.0118  -0.0429⎥
-       //            ⎢ 0.0226  -0.0043  -0.0213⎥
-       //            ⎢ 0.0117  -0.0016  -0.0197⎥
-       //            ⎢-0.6263  -0.9635   0.2234⎥
-       //            ⎢ 0.2334  -0.0013   0.1275⎥
-       //            ⎢-0.0358  -0.0085  -0.0498⎥
-       //            ⎢-0.1238  -0.0054   0.0313⎥
-       //            ⎢-0.0421  -0.0059   0.0528⎥
-       //            ⎢-0.1471  -0.0056   0.0350⎥
-       //            ⎢-0.2158  -0.0052  -0.0044⎥
-       //            ⎣-0.6154  -0.0078  -0.2717⎦
-       // Oceania
-       //      s_3 = [8954.1914 6942.6316 17233.0561]
-       //
-       //      U_3 = ⎡-0.0080  -0.0012  -0.0040⎤
-       //            ⎢ 0.0004  -0.0014   0.0001⎥
-       //            ⎢ 0.9973  -0.0315   0.9991⎥
-       //            ⎢ 0.0473  -0.7426  -0.0359⎥
-       //            ⎢ 0.0018  -0.0342  -0.0020⎥
-       //            ⎢-0.0005  -0.0148  -0.0016⎥
-       //            ⎢-0.0004  -0.0047  -0.0007⎥
-       //            ⎢-0.0246  -0.6642  -0.0138⎥
-       //            ⎢ 0.0003  -0.0287  -0.0023⎥
-       //            ⎢-0.0011  -0.0148  -0.0014⎥
-       //            ⎢-0.0108  -0.0198  -0.0039⎥
-       //            ⎢-0.0149  -0.0183  -0.0048⎥
-       //            ⎢-0.0178  -0.0208  -0.0075⎥
-       //            ⎢-0.0266  -0.0063  -0.0016⎥
-       //            ⎢-0.0012  -0.0234  -0.0006⎥
-       //            ⎢-0.0084  -0.0184  -0.0030⎥
-       //            ⎢-0.0232  -0.0191  -0.0124⎥
-       //            ⎢-0.0072  -0.0226  -0.0035⎥
-       //            ⎢-0.0150  -0.0144  -0.0045⎥
-       //            ⎢-0.0068  -0.0227  -0.0034⎥
-       //            ⎣-0.0127  -0.0136  -0.0049⎦
-       //
-       // Common basis vectors
-       //
-       //      V^T = ⎡-0.0897  -0.4460  -0.8905⎤
-       //            ⎢-0.4911  -0.5432  -0.6810⎥
-       //            ⎣ 0.0644   0.2841   0.9566⎦
-}