' Miscelaneous Math Functions for DWSIM ' Copyright 2008 Daniel Wagner O. de Medeiros ' ' This file is part of DWSIM. ' ' DWSIM is free software: you can redistribute it and/or modify ' it under the terms of the GNU General Public License as published by ' the Free Software Foundation, either version 3 of the License, or ' (at your option) any later version. ' ' DWSIM is distributed in the hope that it will be useful, ' but WITHOUT ANY WARRANTY; without even the implied warranty of ' MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ' GNU General Public License for more details. ' ' You should have received a copy of the GNU General Public License ' along with DWSIM. If not, see . Namespace MathEx.BrentOpt Public Class BrentMinimize Public fc As funcdelegate Delegate Function funcdelegate(ByVal x As Double) As Double Sub New() End Sub Sub DefineFuncDelegate(ByVal fg As funcdelegate) Me.fc = fg End Sub Function f(ByVal x As Double) As Double Return fc.Invoke(x) End Function '************************************************************************ ' Minimization by the Brent method ' ' Input parameters: ' a - left boundary of an interval to search minimum in. ' b - right boundary of an interval to search minimum in. ' Epsilon – absolute error of the value of the function minimum. ' ' Output parameters: ' XMin - point of minimum. ' ' The result: ' function value at the point of minimum. ' ************************************************************************ Public Function brentoptimize(ByVal a As Double, ByVal b As Double, ByVal epsilon As Double, ByRef xmin As Double) As Double Dim result As Double = 0 Dim ia As Double = 0 Dim ib As Double = 0 Dim bx As Double = 0 Dim d As Double = 0 Dim e As Double = 0 Dim etemp As Double = 0 Dim fu As Double = 0 Dim fv As Double = 0 Dim fw As Double = 0 Dim fx As Double = 0 Dim iter As Integer = 0 Dim p As Double = 0 Dim q As Double = 0 Dim r As Double = 0 Dim u As Double = 0 Dim v As Double = 0 Dim w As Double = 0 Dim x As Double = 0 Dim xm As Double = 0 Dim cgold As Double = 0 cgold = 0.381966 bx = 0.5 * (a + b) If a < b Then ia = a Else ia = b End If If a > b Then ib = a Else ib = b End If v = bx w = v x = v e = 0.0R fx = f(x) fv = fx fw = fx For iter = 1 To 100 xm = 0.5 * (ia + ib) If Math.Abs(x - xm) <= epsilon * 2 - 0.5 * (ib - ia) Then Exit For End If If Math.Abs(e) > epsilon Then r = (x - w) * (fx - fv) q = (x - v) * (fx - fw) p = (x - v) * q - (x - w) * r q = 2 * (q - r) If q > 0 Then p = -p End If q = Math.Abs(q) etemp = e e = d If Not (Math.Abs(p) >= Math.Abs(0.5 * q * etemp) Or p <= q * (ia - x) Or p >= q * (ib - x)) Then d = p / q u = x + d If u - ia < epsilon * 2 Or ib - u < epsilon * 2 Then d = mysign(epsilon, xm - x) End If Else If x >= xm Then e = ia - x Else e = ib - x End If d = cgold * e End If Else If x >= xm Then e = ia - x Else e = ib - x End If d = cgold * e End If If Math.Abs(d) >= epsilon Then u = x + d Else u = x + mysign(epsilon, d) End If fu = f(u) If Double.IsNaN(fu) Then Exit For If fu <= fx Then If u >= x Then ia = x Else ib = x End If v = w fv = fw w = x fw = fx x = u fx = fu Else If u < x Then ia = u Else ib = u End If If fu <= fw Or w = x Then v = w fv = fw w = u fw = fu Else If fu <= fv Or v = x Or v = 2 Then v = u fv = fu End If End If End If Next xmin = x result = fx Return result End Function Public Function brentoptimize2(ByVal a As Double, ByVal b As Double, ByVal epsilon As Double, ByVal func As Func(Of Double, Double)) As Double Dim result As Double = 0 Dim ia As Double = 0 Dim ib As Double = 0 Dim bx As Double = 0 Dim d As Double = 0 Dim e As Double = 0 Dim etemp As Double = 0 Dim fu As Double = 0 Dim fv As Double = 0 Dim fw As Double = 0 Dim fx As Double = 0 Dim iter As Integer = 0 Dim p As Double = 0 Dim q As Double = 0 Dim r As Double = 0 Dim u As Double = 0 Dim v As Double = 0 Dim w As Double = 0 Dim x As Double = 0 Dim xm As Double = 0 Dim cgold As Double = 0 cgold = 0.381966 bx = 0.5 * (a + b) If a < b Then ia = a Else ia = b End If If a > b Then ib = a Else ib = b End If v = bx w = v x = v e = 0.0R fx = func(x) fv = fx fw = fx For iter = 1 To 100 xm = 0.5 * (ia + ib) If Math.Abs(x - xm) <= epsilon * 2 - 0.5 * (ib - ia) Then Exit For End If If Math.Abs(e) > epsilon Then r = (x - w) * (fx - fv) q = (x - v) * (fx - fw) p = (x - v) * q - (x - w) * r q = 2 * (q - r) If q > 0 Then p = -p End If q = Math.Abs(q) etemp = e e = d If Not (Math.Abs(p) >= Math.Abs(0.5 * q * etemp) Or p <= q * (ia - x) Or p >= q * (ib - x)) Then d = p / q u = x + d If u - ia < epsilon * 2 Or ib - u < epsilon * 2 Then d = mysign(epsilon, xm - x) End If Else If x >= xm Then e = ia - x Else e = ib - x End If d = cgold * e End If Else If x >= xm Then e = ia - x Else e = ib - x End If d = cgold * e End If If Math.Abs(d) >= epsilon Then u = x + d Else u = x + mysign(epsilon, d) End If fu = func(u) If Double.IsNaN(fu) Then Exit For If fu <= fx Then If u >= x Then ia = x Else ib = x End If v = w fv = fw w = x fw = fx x = u fx = fu Else If u < x Then ia = u Else ib = u End If If fu <= fw Or w = x Then v = w fv = fw w = u fw = fu Else If fu <= fv Or v = x Or v = 2 Then v = u fv = fu End If End If End If Next Return x End Function Private Shared Function mysign(ByVal a As Double, ByVal b As Double) As Double Dim result As Double = 0 If b > 0 Then result = Math.Abs(a) Else result = -Math.Abs(a) End If Return result End Function End Class End Namespace