subroutine funkmin_C4Fit(ndim,beta,fvalue) implicit none include '../testarea/LeafGasParams.h' include '../testarea/LeafGasHybridFit.h' integer ndim double precision beta(1:ndim),fvalue !(in) ndim: the dimension of the parameter vector !(in) beta: the parameters !(out) fvalue: the value of the cost function at beta ! !---------Local variables-------------------------------------------------- integer i !----------- End of variables declaration --------------------------------- !check to see if parameters are out of bounds. if(isitbounded.eq.1)then do i=1,ndim if(beta(i).lt.betamin(i).or.beta(i).gt.betamax(i))then ! parameter out of bound fvalue=1.0d+100 return endif enddo endif vcmax25=beta(1) c4aparslope=beta(2) c4kp25=beta(3) if(idord.eq.1)rdlight25=beta(ndim) fvalue=0.0d0 do i=1,ntotsamples call c4leafanetmodel(1,aPPFDlf(i),templeaf(i),pco2i(i), &pres_air(i),vcmax25,c4aparslope,c4kp25,rdlight25,anet_pred(i), &Postiphotolimit(i)) fvalue=fvalue+(anet_obs(i)-anet_pred(i))**2.0d0 enddo return end subroutine funkmin_C4Fit !$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ double precision function f1dim_C4Fit(x) implicit none double precision x CU USES funkmin_C4Fit INTEGER j !(((((((((((((((((((((((((((((((((((((((((((((((((((( integer NMAX,ncom parameter(NMAX=1000) double precision pcom(NMAX),xicom(NMAX) COMMON /f1com/ pcom,xicom,ncom save /f1com/ !)))))))))))))))))))))))))))))))))))))))))))))))))))) double precision xt(NMAX) do 11 j=1,ncom xt(j)=pcom(j)+x*xicom(j) 11 continue call funkmin_C4Fit(ncom,xt,f1dim_C4Fit) return END !&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& SUBROUTINE FCN_C4Fit(N,M,NP,NQ, + LDN,LDM,LDNP, + BETA,XPLUSD, + IFIXB,IFIXX,LDIFX, + IDEVAL,F,FJACB,FJACD, + ISTOP) implicit none include '../testarea/LeafGasParams.h' include '../testarea/LeafGasHybridFit.h' C SUBROUTINE ARGUMENTS C ==> N NUMBER OF OBSERVATIONS C ==> M NUMBER OF COLUMNS IN EXPLANATORY VARIABLE C ==> NP NUMBER OF PARAMETERS C ==> NQ NUMBER OF RESPONSES PER OBSERVATION C ==> LDN LEADING DIMENSION DECLARATOR EQUAL OR EXCEEDING N C ==> LDM LEADING DIMENSION DECLARATOR EQUAL OR EXCEEDING M C ==> LDNP LEADING DIMENSION DECLARATOR EQUAL OR EXCEEDING NP C ==> BETA CURRENT VALUES OF PARAMETERS C ==> XPLUSD CURRENT VALUE OF EXPLANATORY VARIABLE, I.E., X + DELTA C ==> IFIXB INDICATORS FOR "FIXING" PARAMETERS (BETA) C ==> IFIXX INDICATORS FOR "FIXING" EXPLANATORY VARIABLE (X) C ==> LDIFX LEADING DIMENSION OF ARRAY IFIXX C ==> IDEVAL INDICATOR FOR SELECTING COMPUTATION TO BE PERFORMED C <== F PREDICTED FUNCTION VALUES C <== FJACB JACOBIAN WITH RESPECT TO BETA C <== FJACD JACOBIAN WITH RESPECT TO ERRORS DELTA C <== ISTOP STOPPING CONDITION, WHERE C 0 MEANS CURRENT BETA AND X+DELTA WERE C ACCEPTABLE AND VALUES WERE COMPUTED SUCCESSFULLY C 1 MEANS CURRENT BETA AND X+DELTA ARE C NOT ACCEPTABLE; ODRPACK SHOULD SELECT VALUES C CLOSER TO MOST RECENTLY USED VALUES IF POSSIBLE C -1 MEANS CURRENT BETA AND X+DELTA ARE C NOT ACCEPTABLE; ODRPACK SHOULD STOP C INPUT ARGUMENTS, NOT TO BE CHANGED BY THIS ROUTINE: INTEGER I,IDEVAL,ISTOP,L,LDIFX,LDM,LDN,LDNP,M,N,NP,NQ DOUBLE PRECISION BETA(NP),XPLUSD(LDN,M) INTEGER IFIXB(NP),IFIXX(LDIFX,M) C OUTPUT ARGUMENTS: DOUBLE PRECISION F(LDN,NQ),FJACB(LDN,LDNP,NQ),FJACD(LDN,LDM,NQ) integer k double precision fvalue c ISTOP=0 do I=1,NP if(BETA(I).lt.betamin(I).or. &BETA(I).gt.betamax(I))then ISTOP=1 return endif enddo do I=1,N pco2i(I)=XPLUSD(I,1) aPPFDlf(I)=XPLUSD(I,2) templeaf(I)=XPLUSD(I,3) pres_air(I)=XPLUSD(I,4) enddo IF (MOD(IDEVAL,10).GE.1) THEN call funkmin_C4Fit(NP,BETA,fvalue) if(fvalue.gt.1.0d+20)then ISTOP=1 return endif DO 100 I = 1,N F(I,1)=anet_pred(I) 100 CONTINUE END IF RETURN END !$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$