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mlosch |
1.1 |
C $Header: $ |
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C $Name: $ |
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subroutine mysimul(indic,n,f,x,g,izs,rzs,dzs) |
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implicit none |
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integer indic, n |
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double precision f,x(n),g(n) |
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integer izs(*) |
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real rzs(*) |
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double precision dzs(*) |
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integer i |
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integer iftype |
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double precision twopi |
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parameter ( twopi = 6.283185307179586232 ) |
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iftype = 2 |
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if (izs(1).eq.-1) then |
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c generate first guess for x |
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do i=1,n |
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x(i)=float(i)+1. |
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enddo |
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if ( iftype.eq.2 ) then |
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do i=1,n |
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x(i)=min(x(i),+5.12D0) |
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x(i)=max(x(i),-5.12D0) |
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enddo |
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endif |
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endif |
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if (indic.eq.1) then |
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c do nothing, just print something |
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print *, 'ml-simul, indic = ', indic, ', f = ', f |
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elseif (indic.eq.4) then |
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if (iftype.eq.0) then |
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c compute cost function and gradient from control parameter |
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c banana function ( Rosenbrock f(x,y)=(1-x)^2+100*(y-x^2)^2 ) |
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f=0. |
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do i=1,n-1 |
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f=f + (1.-x(i))**2 + dzs(1)*(x(i+1)-x(i)**2)**2 |
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enddo |
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g(:)=0. |
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do i=n-1,1,-1 |
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c g(i) = g(i)-2.*(1.-x(i)) - 4.5*dzs(1)*x(i)*(x(i+1)-x(i)**2) |
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g(i) = g(i)-2.*(1.-x(i)) - 4.*dzs(1)*x(i)*(x(i+1)-x(i)**2) |
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g(i+1)= g(i+1)+2.*dzs(1)*(x(i+1)-x(i)**2) |
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enddo |
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elseif (iftype.eq.1) then |
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c Himmelblau s function with 4 local minima |
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f = ( x(1)**2 + x(2) - 11.D0 )**2 + ( x(1) + x(2)**2 - 7.D0 )**2 |
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g(1) = 4.*x(1)*( x(1)**2 + x(2) - 11.D0 ) |
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& + 2.*( x(1) + x(2)**2 - 7.D0 ) |
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g(2) = 2.*( x(1)**2 + x(2) - 11.D0 ) |
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& + 4.*x(2)*( x(1) + x(2)**2 - 7.D0 ) |
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elseif (iftype.eq.2) then |
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c Rastrigin function |
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f=10.*float(n) |
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do i=1,n |
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if ( x(i) .gt. 5.12D0 .or. x(i) .lt. -5.12D0) then |
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print '(A,I4,A,E12.4,A)',' x(',i,') = ',x(i),', out of range' |
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endif |
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f = f + x(i)**2 - cos(twopi*x(i)) |
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g(i) = 2.*x(i) + twopi*sin(twopi*x(i)) |
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enddo |
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else |
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print *, 'iftype = ', iftype, ' not implemented' |
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stop 'ABNORMAL in mysimul' |
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endif |
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else |
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print *, 'ml-simul: indic = ', indic |
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print *, 'ml-simul: should not happen' |
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stop 'ABNORMAL' |
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endif |
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return |
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end |
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