github.com/jingcheng-WU/gonum@v0.9.1-0.20210323123734-f1a2a11a8f7b/diff/fd/laplacian.go (about) 1 // Copyright ©2017 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 fd 6 7 import "sync" 8 9 // Laplacian computes the Laplacian of the multivariate function f at the location 10 // x. That is, Laplacian returns 11 // ∆ f(x) = ∇ · ∇ f(x) = \sum_i ∂^2 f(x)/∂x_i^2 12 // The finite difference formula and other options are specified by settings. 13 // The order of the difference formula must be 2 or Laplacian will panic. 14 func Laplacian(f func(x []float64) float64, x []float64, settings *Settings) float64 { 15 n := len(x) 16 if n == 0 { 17 panic("laplacian: x has zero length") 18 } 19 20 // Default settings. 21 formula := Central2nd 22 step := formula.Step 23 var originValue float64 24 var originKnown, concurrent bool 25 26 // Use user settings if provided. 27 if settings != nil { 28 if !settings.Formula.isZero() { 29 formula = settings.Formula 30 step = formula.Step 31 checkFormula(formula) 32 if formula.Derivative != 2 { 33 panic(badDerivOrder) 34 } 35 } 36 if settings.Step != 0 { 37 if settings.Step < 0 { 38 panic(negativeStep) 39 } 40 step = settings.Step 41 } 42 originKnown = settings.OriginKnown 43 originValue = settings.OriginValue 44 concurrent = settings.Concurrent 45 } 46 47 evals := n * len(formula.Stencil) 48 if usesOrigin(formula.Stencil) { 49 evals -= n 50 } 51 52 nWorkers := computeWorkers(concurrent, evals) 53 if nWorkers == 1 { 54 return laplacianSerial(f, x, formula.Stencil, step, originKnown, originValue) 55 } 56 return laplacianConcurrent(nWorkers, evals, f, x, formula.Stencil, step, originKnown, originValue) 57 } 58 59 func laplacianSerial(f func(x []float64) float64, x []float64, stencil []Point, step float64, originKnown bool, originValue float64) float64 { 60 n := len(x) 61 xCopy := make([]float64, n) 62 fo := func() float64 { 63 // Copy x in case it is modified during the call. 64 copy(xCopy, x) 65 return f(x) 66 } 67 is2 := 1 / (step * step) 68 origin := getOrigin(originKnown, originValue, fo, stencil) 69 var laplacian float64 70 for i := 0; i < n; i++ { 71 for _, pt := range stencil { 72 var v float64 73 if pt.Loc == 0 { 74 v = origin 75 } else { 76 // Copying the data anew has two benefits. First, it 77 // avoids floating point issues where adding and then 78 // subtracting the step don't return to the exact same 79 // location. Secondly, it protects against the function 80 // modifying the input data. 81 copy(xCopy, x) 82 xCopy[i] += pt.Loc * step 83 v = f(xCopy) 84 } 85 laplacian += v * pt.Coeff * is2 86 } 87 } 88 return laplacian 89 } 90 91 func laplacianConcurrent(nWorkers, evals int, f func(x []float64) float64, x []float64, stencil []Point, step float64, originKnown bool, originValue float64) float64 { 92 type run struct { 93 i int 94 idx int 95 result float64 96 } 97 n := len(x) 98 send := make(chan run, evals) 99 ans := make(chan run, evals) 100 101 var originWG sync.WaitGroup 102 hasOrigin := usesOrigin(stencil) 103 if hasOrigin { 104 originWG.Add(1) 105 // Launch worker to compute the origin. 106 go func() { 107 defer originWG.Done() 108 xCopy := make([]float64, len(x)) 109 copy(xCopy, x) 110 originValue = f(xCopy) 111 }() 112 } 113 114 var workerWG sync.WaitGroup 115 // Launch workers. 116 for i := 0; i < nWorkers; i++ { 117 workerWG.Add(1) 118 go func(send <-chan run, ans chan<- run) { 119 defer workerWG.Done() 120 xCopy := make([]float64, len(x)) 121 for r := range send { 122 if stencil[r.idx].Loc == 0 { 123 originWG.Wait() 124 r.result = originValue 125 } else { 126 // See laplacianSerial for comment on the copy. 127 copy(xCopy, x) 128 xCopy[r.i] += stencil[r.idx].Loc * step 129 r.result = f(xCopy) 130 } 131 ans <- r 132 } 133 }(send, ans) 134 } 135 136 // Launch the distributor, which sends all of runs. 137 go func(send chan<- run) { 138 for i := 0; i < n; i++ { 139 for idx := range stencil { 140 send <- run{ 141 i: i, idx: idx, 142 } 143 } 144 } 145 close(send) 146 // Wait for all the workers to quit, then close the ans channel. 147 workerWG.Wait() 148 close(ans) 149 }(send) 150 151 // Read in the results. 152 is2 := 1 / (step * step) 153 var laplacian float64 154 for r := range ans { 155 laplacian += r.result * stencil[r.idx].Coeff * is2 156 } 157 return laplacian 158 }