| 1 | ! **************************************************************
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| 2 | !
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| 3 | ! This file contains the subroutines: minqsn,mc11a,mc11e
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| 4 | !
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| 5 | ! Copyright 2003-2005 Frank Eisenmenger, U.H.E. Hansmann,
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| 6 | ! Shura Hayryan, Chin-Ku
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| 7 | ! Copyright 2007 Frank Eisenmenger, U.H.E. Hansmann,
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| 8 | ! Jan H. Meinke, Sandipan Mohanty
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| 9 | !
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| 10 | ! **************************************************************
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| 11 |
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| 12 | subroutine minqsn(n,mxn,x,f,g,scal,acur,h,d,w,xa,ga,xb,gb,maxfun,
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| 13 | & nfun)
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| 14 |
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| 15 | ! .............................................................
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| 16 | ! PURPOSE: Quasi-Newton minimizer
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| 17 | !
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| 18 | ! Unconstrained local minimization of function FUNC
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| 19 | ! vs. N variables by quasi-Newton method using BFGS-
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| 20 | ! formula to update hessian matrix; approximate line
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| 21 | ! searches performed using cubic extra-/interpolation
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| 22 | ! [see Gill P.E., Murray W., Wright M.H., Practical
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| 23 | ! Optimization, Ch. 2.2.5.7, 4.3.2.1 ff.,4.4.2.2.,
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| 24 | ! 4.5.2.1]
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| 25 | !
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| 26 | ! INPUT: X,F,G - variables, value of FUNC, gradient at START
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| 27 | ! SCAL - factors to reduce(increase) initial step &
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| 28 | ! its lower bound for line searches, diagonal
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| 29 | ! elements of initial hessian matrix
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| 30 | ! MXN - maximal overall number of function calls
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| 31 | !
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| 32 | ! OUTPUT: X,F,G - variables, value of FUNC, gradient at MINIMUM
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| 33 | ! NFUN - overall number of function calls used
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| 34 | !
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| 35 | ! ARRAYS: H - approximate hessian matrix in symmetric storage
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| 36 | ! (dimension N(N+1)/2)
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| 37 | ! W,D,XA,XB,GA,GB - dimension N
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| 38 | !
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| 39 | ! CALLS: MOVE - external to calculate function for current X
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| 40 | ! and its gradients
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| 41 | ! MC11E- solve system H*D=-G for search direction D, where
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| 42 | ! H is given in Cholesky-factorization
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| 43 | ! MC11A- update H using BFGS formula, factorizise new H
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| 44 | ! according to Cholesky (modified to maintain its
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| 45 | ! positive definiteness)
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| 46 | !
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| 47 | ! PARAMETERS:
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| 48 | !
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| 49 | ! EPS1 - checks reduction of FUNC during line search
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| 50 | ! ( 0.0001 <= EPS1 < 0.5 )
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| 51 | ! EPS2 - controls accuracy of line search (reduce to increase
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| 52 | ! accuracy; EPS1 < EPS2 <= 0.9 )
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| 53 | ! ACUR - fractional precision for determination of variables
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| 54 | ! (should not be smaller than sqrt of machine accuracy)
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| 55 | ! TINY - prevent division by zero during cubic extrapolation
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| 56 | ! .............................................................
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| 57 |
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| 58 | implicit none
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| 59 |
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| 60 | double precision eps1, eps2, tiny, zero, dff, c, g, scal, h, fa, f
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| 61 | double precision xa, x, ga, d, w, dga, di, fmin, gmin, stmin
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| 62 | double precision stepub, steplb, acur, step, xb, fb, gb, gl1, gl2
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| 63 | double precision si, dgb, sig
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| 64 |
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| 65 | integer izero, ione, mxn, nfun, itr, i, n, n1, i1, j, isfv, maxfun
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| 66 | integer ir
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| 67 |
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| 68 | character(255) logString
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| 69 |
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| 70 | parameter ( eps1=0.1d0,
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| 71 | & eps2=0.7d0,
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| 72 | & tiny=1.d-32,
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| 73 |
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| 74 | & zero=0.d0,
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| 75 | & izero=0,
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| 76 | & ione=1 )
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| 77 |
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| 78 | dimension x(mxn),g(mxn),scal(mxn),h(mxn*(mxn+1)/2),d(mxn),w(mxn),
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| 79 | & xa(mxn),ga(mxn),xb(mxn),gb(mxn)
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| 80 |
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| 81 | nfun=0
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| 82 | itr=0
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| 83 | dff=0.
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| 84 | ! _______________ hessian to a diagonal matrix depending on scale
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| 85 | c=0.
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| 86 | do i=1,n
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| 87 | c=max(c,abs(g(i)*scal(i)))
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| 88 | enddo
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| 89 | if (c.le.0.) c=1.
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| 90 |
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| 91 | n1=n+1
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| 92 | i1=(n*n1)/2
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| 93 | do i=1,i1
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| 94 | h(i)=0.
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| 95 | enddo
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| 96 |
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| 97 | j=1
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| 98 | do i=1,n
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| 99 | h(j)=.01*c/scal(i)**2
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| 100 | j=j+n1-i
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| 101 | enddo
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| 102 |
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| 103 | 1 isfv=1 ! Re-start Search from Best Point so far
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| 104 |
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| 105 | fa=f
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| 106 | do i=1,n
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| 107 | xa(i)=x(i)
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| 108 | ga(i)=g(i)
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| 109 | enddo
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| 110 |
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| 111 | 2 itr=itr+1 ! Start New Line-search from A
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| 112 |
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| 113 | ! ______________ search direction of the iteration
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| 114 | do i=1,n
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| 115 | d(i)=-ga(i)
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| 116 | enddo
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| 117 | call MC11E (h,n,mxn,d,w,n)
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| 118 |
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| 119 | c=0.
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| 120 | dga=0.
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| 121 | do i=1,n
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| 122 | di=d(i)
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| 123 | c=max(c,abs(di/scal(i)))
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| 124 | dga=dga+ga(i)*di ! directional derivative
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| 125 | enddo
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| 126 | c=1./c
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| 127 |
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| 128 | if (dga.ge.0.) goto 5 ! search is uphill
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| 129 |
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| 130 | fmin=fa
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| 131 | gmin=dga
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| 132 | stmin=0.
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| 133 |
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| 134 | stepub=0. ! initial upper and
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| 135 | steplb=acur*c ! lower bound on step
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| 136 |
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| 137 | ! ________________________ initial step of the line search
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| 138 | if (dff.gt.0.) then
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| 139 | step=min(1.d0,(dff+dff)/(-dga))
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| 140 | else
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| 141 | step=min(1.d0,c)
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| 142 | endif
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| 143 |
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| 144 | 3 if (nfun.ge.maxfun) then
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| 145 | !c write (logString, *) ' minfor> exceeded max. number of function calls'
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| 146 | return
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| 147 | endif
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| 148 |
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| 149 | c=stmin+step ! Step along Search direction A->B
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| 150 | do i=1,n
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| 151 | xb(i)=xa(i)+c*d(i)
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| 152 | enddo
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| 153 |
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| 154 | nfun=nfun+1
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| 155 | call MOVE(nfun,n,fb,xb,gb)
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| 156 |
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| 157 | isfv=min(2,isfv)
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| 158 |
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| 159 | if (fb.le.f) then
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| 160 | if (fb.eq.f) then
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| 161 | gl1=0.
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| 162 | gl2=0.
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| 163 | do i=1,n
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| 164 | si=scal(i)**2
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| 165 | gl1=gl1+si*g(i)**2
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| 166 | gl2=gl2+si*gb(i)**2
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| 167 | enddo
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| 168 | if (gl2.ge.gl1) goto 4
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| 169 | endif
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| 170 | ! ______________ store function value if it is smallest so far
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| 171 | f=fb
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| 172 | do i=1,n
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| 173 | x(i)=xb(i)
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| 174 | g(i)=gb(i)
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| 175 | enddo
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| 176 |
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| 177 | isfv=3
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| 178 | endif
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| 179 |
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| 180 | 4 dgb=0.
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| 181 | do i=1,n
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| 182 | dgb=dgb+gb(i)*d(i) ! directional derivative at B
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| 183 | enddo
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| 184 |
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| 185 | if (fb-fa.le.eps1*c*dga) then ! sufficient reduction of F
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| 186 |
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| 187 | stmin=c
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| 188 | fmin=fb
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| 189 | gmin=dgb
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| 190 |
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| 191 | stepub=stepub-step ! new upper bound on step
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| 192 |
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| 193 | ! _______________________________ next step by extrapolation
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| 194 | if (stepub.gt.0.) then
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| 195 | step=.5*stepub
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| 196 | else
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| 197 | step=9.*stmin
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| 198 | endif
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| 199 | c=dga+3.*dgb-4.*(fb-fa)/stmin
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| 200 | if (c.gt.0.) step=min(step,stmin*max(1.d0,-dgb/c))
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| 201 |
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| 202 | if (dgb.lt.eps2*dga) goto 3 ! line minimization still not
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| 203 | ! accurate enough -> further step
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| 204 | isfv=4-isfv
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| 205 |
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| 206 | if (stmin+step.gt.steplb) then ! line minim. complete ->
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| 207 | ! update Hessian
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| 208 | do i=1,n
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| 209 | xa(i)=xb(i)
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| 210 | xb(i)=ga(i)
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| 211 | d(i)=gb(i)-ga(i)
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| 212 | ga(i)=gb(i)
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| 213 | enddo
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| 214 |
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| 215 | ir=-n
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| 216 | sig=1./dga
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| 217 | call MC11A (h,n,mxn,xb,sig,w,ir,ione,zero)
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| 218 | ir=-ir
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| 219 | sig=1./(stmin*(dgb-dga))
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| 220 | call MC11A (h,n,mxn,d,sig,d,ir,izero,zero)
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| 221 |
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| 222 | if (ir.eq.n) then ! Start new line search
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| 223 | dff=fa-fb
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| 224 | fa=fb
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| 225 | goto 2
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| 226 | else ! rank of new matrix is deficient
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| 227 | write (logString, *)
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| 228 | & ' minfor> rank of hessian < number of variables'
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| 229 | return
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| 230 | endif
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| 231 |
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| 232 | endif
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| 233 |
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| 234 | else if (step.gt.steplb) then ! insufficient reduction of F:
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| 235 | ! new step by cubic interpolation
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| 236 | stepub=step ! new upper bound
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| 237 |
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| 238 | c=gmin+dgb-3.*(fb-fmin)/step
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| 239 | c=c+gmin-sqrt(c*c-gmin*dgb) !! may be sqrt ( <0 )
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| 240 | if (abs(c).lt.tiny) then ! prevent division by zero
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| 241 | step=.1*step
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| 242 | else
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| 243 | step=step*max(.1d0,gmin/c)
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| 244 | endif
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| 245 | goto 3 ! -> reduced step along search direction
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| 246 |
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| 247 | endif
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| 248 |
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| 249 | 5 if (isfv.ge.2) goto 1 ! -> Restart from best point so far
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| 250 |
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| 251 | nfun=nfun+1
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| 252 | call MOVE(nfun,n,f,x,g)
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| 253 |
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| 254 | return
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| 255 | end
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| 256 | ! ***********************************************
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| 257 | subroutine mc11a(a,n,mxn,z,sig,w,ir,mk,eps)
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| 258 | !
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| 259 | ! CALLS: none
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| 260 | !
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| 261 | implicit none
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| 262 |
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| 263 | double precision sig, ti, w, z, a, v, eps, tim, al, r, b, gm, y
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| 264 |
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| 265 | integer mxn, n, ir, np, ij, mk, i, j, mm
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| 266 |
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| 267 | dimension a(mxn*(mxn+1)/2),z(mxn),w(mxn)
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| 268 |
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| 269 | if (n.gt.1) then
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| 270 | if (sig.eq.0..or.ir.eq.0) return
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| 271 | np=n+1
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| 272 | if (sig.lt.0.) then
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| 273 | ti=1./sig
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| 274 | ij=1
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| 275 | if (mk.eq.0) then
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| 276 | do i=1,n
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| 277 | w(i)=z(i)
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| 278 | enddo
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| 279 | do i=1,n
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| 280 | if (a(ij).gt.0.) then
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| 281 | v=w(i)
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| 282 | ti=ti+v**2/a(ij)
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| 283 | if (i.lt.n) then
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| 284 | do j=i+1,n
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| 285 | ij=ij+1
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| 286 | w(j)=w(j)-v*a(ij)
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| 287 | enddo
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| 288 | endif
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| 289 | ij=ij+1
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| 290 | else
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| 291 | w(i)=0.
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| 292 | ij=ij+np-i
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| 293 | endif
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| 294 | enddo
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| 295 | else
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| 296 | do i=1,n
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| 297 | if (a(ij).ne.0.) ti=ti+w(i)**2/a(ij)
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| 298 | ij=ij+np-i
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| 299 | enddo
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| 300 | endif
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| 301 | if (ir.le.0) then
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| 302 | ti=0.
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| 303 | ir=-ir-1
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| 304 | else if (ti.gt.0.) then
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| 305 | if (eps.ne.0.) then
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| 306 | ti=eps/sig
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| 307 | else
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| 308 | ir=ir-1
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| 309 | ti=0.
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| 310 | endif
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| 311 | else if (mk.le.1) then
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| 312 | goto 1
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| 313 | endif
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| 314 | mm=1
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| 315 | tim=ti
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| 316 | do i=1,n
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| 317 | j=np-i
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| 318 | ij=ij-i
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| 319 | if (a(ij).ne.0.) tim=ti-w(j)**2/a(ij)
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| 320 | w(j)=ti
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| 321 | ti=tim
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| 322 | enddo
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| 323 | goto 2
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| 324 | endif
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| 325 | 1 mm=0
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| 326 | tim=1./sig
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| 327 | 2 ij=1
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| 328 | do i=1,n
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| 329 | v=z(i)
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| 330 | if (a(ij).gt.0.) then
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| 331 | al=v/a(ij)
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| 332 | if (mm.le.0) then
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| 333 | ti=tim+v*al
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| 334 | else
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| 335 | ti=w(i)
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| 336 | endif
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| 337 | r=ti/tim
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| 338 | a(ij)=a(ij)*r
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| 339 | if (r.eq.0..or.i.eq.n) goto 3
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| 340 | b=al/ti
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| 341 | if (r.gt.4.) then
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| 342 | gm=tim/ti
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| 343 | do j=i+1,n
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| 344 | ij=ij+1
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| 345 | y=a(ij)
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| 346 | a(ij)=b*z(j)+y*gm
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| 347 | z(j)=z(j)-v*y
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| 348 | enddo
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| 349 | else
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| 350 | do j=i+1,n
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| 351 | ij=ij+1
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| 352 | z(j)=z(j)-v*a(ij)
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| 353 | a(ij)=a(ij)+b*z(j)
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| 354 | enddo
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| 355 | endif
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| 356 | tim=ti
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| 357 | ij=ij+1
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| 358 | else if (ir.gt.0.or.sig.lt.0..or.v.eq.0.) then
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| 359 | ti=tim
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| 360 | ij=ij+np-i
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| 361 | else
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| 362 | ir=1-ir
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| 363 | a(ij)=v**2/tim
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| 364 | if (i.eq.n) return
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| 365 | do j=i+1,n
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| 366 | ij=ij+1
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| 367 | a(ij)=z(j)/v
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| 368 | enddo
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| 369 | return
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| 370 | endif
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| 371 | enddo
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| 372 | 3 if (ir.lt.0) ir=-ir
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| 373 | else
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| 374 | a(1)=a(1)+sig*z(1)**2
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| 375 | ir=1
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| 376 | if (a(1).gt.0.) return
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| 377 | a(1)=0.
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| 378 | ir=0
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| 379 | endif
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| 380 |
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| 381 | return
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| 382 | end
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| 383 | ! ************************************
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| 384 | subroutine mc11e(a,n,mxn,z,w,ir)
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| 385 | !
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| 386 | ! CALLS: none
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| 387 | !
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| 388 | implicit none
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| 389 | double precision w, z, v, a
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| 390 |
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| 391 | integer mxn, ir, n, i, ij, i1, j, np, nip, ii, ip
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| 392 |
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| 393 | dimension a(mxn*(mxn+1)/2),z(mxn),w(mxn)
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| 394 |
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| 395 | if (ir.lt.n) return ! rank of matrix deficient
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| 396 |
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| 397 | w(1)=z(1)
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| 398 | if (n.gt.1) then
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| 399 | do i=2,n
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| 400 | ij=i
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| 401 | i1=i-1
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| 402 | v=z(i)
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| 403 | do j=1,i1
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| 404 | v=v-a(ij)*z(j)
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| 405 | ij=ij+n-j
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| 406 | enddo
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| 407 | z(i)=v
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| 408 | w(i)=v
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| 409 | enddo
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| 410 | z(n)=z(n)/a(ij)
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| 411 | np=n+1
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| 412 | do nip=2,n
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| 413 | i=np-nip
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| 414 | ii=ij-nip
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| 415 | v=z(i)/a(ii)
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| 416 | ip=i+1
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| 417 | ij=ii
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| 418 | do j=ip,n
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| 419 | ii=ii+1
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| 420 | v=v-a(ii)*z(j)
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| 421 | enddo
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| 422 | z(i)=v
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| 423 | enddo
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| 424 | else
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|---|
| 425 | z(1)=z(1)/a(1)
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|---|
| 426 | endif
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|---|
| 427 |
|
|---|
| 428 | return
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|---|
| 429 | end
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|---|
| 430 |
|
|---|
