// Copyright ©2015 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 functions import "testing" func TestBeale(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 1}, F: 14.203125, Gradient: []float64{0, 27.75}, }, { X: []float64{1, 4}, F: 4624.453125, Gradient: []float64{8813.25, 6585}, }, } testFunction(Beale{}, tests, t) } func TestBiggsEXP2(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 2}, F: 32.26255055084012, Gradient: []float64{8.308203800550878, -25.32607145221645}, }, } testFunction(BiggsEXP2{}, tests, t) } func TestBiggsEXP3(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 2, 1}, F: 1.598844540607779, Gradient: []float64{1.0633795027631927, -0.5196392672262664, -0.3180919155433357}, }, } testFunction(BiggsEXP3{}, tests, t) } func TestBiggsEXP4(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 2, 1, 1}, F: 1.598844540607779, Gradient: []float64{1.0633795027631927, -0.5196392672262664, -0.44245622408151464, -0.3180919155433357}, }, } testFunction(BiggsEXP4{}, tests, t) } func TestBiggsEXP5(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 2, 1, 1, 1}, F: 13.386420552801937, Gradient: []float64{-6.54665204477596, 3.5259856535515293, 14.36984212995392, -9.522506150695783, -19.639956134327882}, }, } testFunction(BiggsEXP5{}, tests, t) } func TestBiggsEXP6(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 2, 1, 1, 1, 1}, F: 0.77907007565597, Gradient: []float64{-0.149371887533426, -0.183163468182936, -1.483958013575642, 1.428277503849742, -0.149371887533426, -1.483958013575642}, }, } testFunction(BiggsEXP6{}, tests, t) } func TestBox3D(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{0, 10, 20}, F: 1031.1538106093985, Gradient: []float64{98.22343149849218, -2.11937420675874, 112.38817362220350}, }, } testFunction(Box3D{}, tests, t) } func TestBrownBadlyScaled(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 1}, F: 999998000003, Gradient: []float64{-2e+6, -4e-6}, }, } testFunction(BrownBadlyScaled{}, tests, t) } // TODO(vladimir-ch): The minimum of BrownAndDennis is not known accurately // enough, which would force defaultGradTol to be unnecessarily large for the // tests to pass. This is the only function that causes problems, so disable // this test until the minimum is more accurate. // func TestBrownAndDennis(t *testing.T) { // tests := []funcTest{ // { // X: []float64{25, 5, -5, -1}, // F: 7926693.33699744, // Gradient: []float64{1149322.836365895, 1779291.674339785, -254579.585463521, -173400.429253115}, // }, // } // testFunction(BrownAndDennis{}, tests, t) // } func TestExtendedPowellSingular(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{3, -1, 0, 3}, F: 95, Gradient: []float64{-14, -144, -22, 30}, }, { X: []float64{3, -1, 0, 3, 3, -1, 0, 3}, F: 190, Gradient: []float64{-14, -144, -22, 30, -14, -144, -22, 30}, }, } testFunction(ExtendedPowellSingular{}, tests, t) } func TestExtendedRosenbrock(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{-1.2, 1}, F: 24.2, Gradient: []float64{-215.6, -88}, }, { X: []float64{-1.2, 1, -1.2}, F: 508.2, Gradient: []float64{-215.6, 792, -440}, }, { X: []float64{-1.2, 1, -1.2, 1}, F: 532.4, Gradient: []float64{-215.6, 792, -655.6, -88}, }, } testFunction(ExtendedRosenbrock{}, tests, t) } func TestGaussian(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{0.4, 1, 0}, F: 3.88810699116688e-06, Gradient: []float64{7.41428466839991e-03, -7.44126392165149e-04, -5.30189685421989e-20}, }, } testFunction(Gaussian{}, tests, t) } func TestGulfResearchAndDevelopment(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{5, 2.5, 0.15}, F: 12.11070582556949, Gradient: []float64{2.0879783574289799, 0.0345792619697154, -39.6766801029386400}, }, } testFunction(GulfResearchAndDevelopment{}, tests, t) } func TestHelicalValley(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{-1, 0, 0}, F: 2500, Gradient: []float64{0, -1.59154943091895e+03, -1e+03}, }, } testFunction(HelicalValley{}, tests, t) } func TestPenaltyI(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{1, 2, 3, 4}, F: 885.06264, Gradient: []float64{119, 238.00002, 357.00004, 476.00006}, }, { X: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, F: 148032.56535, Gradient: []float64{1539, 3078.00002, 4617.00004, 6156.00006, 7695.00008, 9234.0001, 10773.00012, 12312.00014, 13851.00016, 15390.00018}, }, } testFunction(PenaltyI{}, tests, t) } func TestPenaltyII(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{0.5, 0.5, 0.5, 0.5}, F: 2.34000880546302, Gradient: []float64{12.59999952896435, 8.99999885134508, 5.99999776830493, 2.99999875380719}, }, { X: []float64{0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5}, F: 162.65277656596712, Gradient: []float64{255.5999995289644, 229.4999988513451, 203.9999977683049, 178.4999965713605, 152.9999952485322, 127.4999937865809, 101.9999921708749, 76.4999903852436, 50.9999884118158, 25.4999938418451}, }, } testFunction(PenaltyII{}, tests, t) } func TestPowelBadlyScaled(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{0, 1}, F: 1.13526171734838, Gradient: []float64{-2.00007355588823e+04, -2.70596990584991e-01}, }, } testFunction(PowellBadlyScaled{}, tests, t) } func TestTrigonometric(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{0.5, 0.5}, F: 0.0126877761614045, Gradient: []float64{-0.00840962732040673, -0.09606967736232540}, }, { X: []float64{0.2, 0.2, 0.2, 0.2, 0.2}, F: 0.0116573789904718, Gradient: []float64{0.04568602319608119, -0.00896259022885634, -0.04777056509084983, -0.07073790138989976, -0.07786459912600564}, }, { X: []float64{0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1}, F: 0.00707575946622261, Gradient: []float64{0.03562782195259399, 0.01872017956076182, 0.00380754216611998, -0.00911009023133202, -0.02003271763159338, -0.02896034003466506, -0.03589295744054654, -0.04083056984923782, -0.04377317726073873, -0.04472077967504980}, }, } testFunction(Trigonometric{}, tests, t) } func TestVariablyDimensioned(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{0.5, 0}, F: 46.5625, Gradient: []float64{-68.5, -137}, }, { X: []float64{2.0 / 3, 1.0 / 3, 0}, F: 497.60493827160514, Gradient: []float64{-416.518518518519, -833.037037037037, -1249.555555555556}, }, { X: []float64{0.75, 0.5, 0.25, 0}, F: 3222.1875, Gradient: []float64{-1703, -3406, -5109, -6812}, }, } testFunction(VariablyDimensioned{}, tests, t) } func TestWatson(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{0, 0}, F: 30, Gradient: []float64{0, -60}, }, { X: []float64{0, 0, 0, 0, 0, 0}, F: 30, Gradient: []float64{0, -60, -60, -61.034482758620697, -62.068965517241381, -63.114928861371936}, }, { X: []float64{0, 0, 0, 0, 0, 0, 0, 0, 0}, F: 30, Gradient: []float64{0, -60, -60, -61.034482758620697, -62.068965517241381, -63.114928861371936, -64.172372791012350, -65.241283655050239, -66.321647802373235}, }, { X: []float64{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, F: 30, Gradient: []float64{0, -60, -60, -61.034482758620697, -62.068965517241381, -63.114928861371936, -64.172372791012350, -65.241283655050239, -66.321647802373235, -67.413448880864095, -68.516667837400661, -69.631282933991471}, }, } testFunction(Watson{}, tests, t) } func TestWood(t *testing.T) { t.Parallel() tests := []funcTest{ { X: []float64{-3, -1, -3, -1}, F: 19192, Gradient: []float64{-12008, -2080, -10808, -1880}, }, } testFunction(Wood{}, tests, t) }