C----------------------------------------------------------------------
      SUBROUTINE COUL90(X, ETA, XLMIN,LRANGE, FC,GC,FCP,GCP, KFN,IFAIL)
C----------------------------------------------------------------------
C
C  COULOMB & BESSEL FUNCTION PROGRAM-- COUL90 -- USING STEED'S METHOD
C
C  COUL90 RETURNS ARRAYS FC = F, GC = G, FCP = (D/DX) F, GCP = (D/DX) G
C   FOR REAL X .GT. 0. ,REAL ETA (INCLUDING 0.), AND REAL XLMIN .GT.-1.
C   FOR (LRANGE+1) INTEGER-SPACED LAMBDA VALUES.
C   IT HENCE GIVES POSITIVE-ENERGY SOLUTIONS TO THE COULOMB SCHRODINGER
C   EQUATION, TO THE KLEIN-GORDON EQUATION AND TO SUITABLE FORMS OF
C   THE DIRAC EQUATION.    BY SETTING ETA = 0.0 AND RENORMALISING
C   SPHERICAL & CYLINDRICAL BESSEL FUNCTIONS ARE COMPUTED INSTEAD.
C----------------------------------------------------------------------
C   CALLING VARIABLES; ALL REALS ARE DOUBLE PRECISION (REAL*8)
C
C   X       - REAL ARGUMENT FOR COULOMB FUNCTIONS > 0.0 
C             [ X > SQRT(ACCUR) : ACCUR IS TARGET ACCURACY 1.0D-14 ]
C   ETA     - REAL SOMMERFELD PARAMETER, UNRESTRICTED > = < 0.0
C   XLMIN   - REAL MINIMUM LAMBDA-VALUE (L-VALUE OR ORDER),
C             GENERALLY IN RANGE 0.0 - 1.0 AND MOST USUALLY 0.0
C   LRANGE  - INTEGER NUMBER OF ADDITIONAL L-VALUES : RESULTS RETURNED
C             FOR L-VALUES XLMIN TO XLMIN + LRANGE INCLUSIVE
C   FC ,GC  - REAL VECTORS F,G OF REGULAR, IRREGULAR COULOMB FUNCTIONS
C   FCP,GCP - REAL VECTORS FOR THE X-DERIVATIVES OF  F,G
C             THESE VECTORS TO BE OF LENGTH AT LEAST MINL + LRANGE
C             STARTING ELEMENT MINL = MAX0( IDINT(XLMIN+ACCUR),0 )
C   KFN     - INTEGER CHOICE OF FUNCTIONS TO BE COMPUTED :
C           = 0         REAL COULOMB FUNCTIONS AND DERIVATIVES F & G
C           = 1    SPHERICAL BESSEL      "      "     "        j & y
C           = 2  CYLINDRICAL BESSEL      "      "     "        J & Y
C
C   PRECISION:  RESULTS TO WITHIN 2-3 DECIMALS OF "MACHINE ACCURACY"
C   IN OSCILLATING REGION X .GE. [ETA + SQRT{ETA**2 + XLM*(XLM+1)}]
C   I.E. THE TARGET ACCURACY ACCUR SHOULD BE 100 * ACC8 WHERE ACC8 IS
C   THE SMALLEST NUMBER WITH 1.+ACC8.NE.1. FOR OUR WORKING PRECISION.
C   THIS RANGES BETWEEN 4E-15 AND 2D-17 ON CRAY, VAX, SUN, PC FORTRANS
C   SO CHOOSE A SENSIBLE  ACCUR = 1.0D-14
C   IF X IS SMALLER THAN [ ] ABOVE THE ACCURACY BECOMES STEADILY WORSE:
C   THE VARIABLE PACCQ IN COMMON /STEED/ HAS AN ESTIMATE OF ACCURACY.
C----------------------------------------------------------------------
C   ERROR RETURNS                THE USER SHOULD TEST IFAIL ON EXIT
C
C   IFAIL ON INPUT IS SET TO 0                        LIMIT = 20000
C   IFAIL IN OUTPUT =  0 : CALCULATIONS SATISFACTORY
C                   =  1 : CF1 DID NOT CONVERGE AFTER LIMIT ITERATIONS
C                   =  2 : CF2 DID NOT CONVERGE AFTER LIMIT ITERATIONS
C                   = -1 : X < 1D-7 = SQRT(ACCUR)
C                   = -2 : INCONSISTENCY IN ORDER VALUES (L-VALUES) 
C----------------------------------------------------------------------
C  MACHINE-DEPENDENT PARAMETERS:    ACCUR - SEE ABOVE
C           SMALL - OFFSET FOR RECURSION = APPROX SQRT(MIN REAL NO.)
C           IE 1D-30 FOR IBM REAL*8,    1D-150 FOR DOUBLE PRECISION
C----------------------------------------------------------------------
C  PROGRAMMING HISTORY AND BACKGROUND: CPC IS COMPUTER PHYSICS COMMUN.
C  ORIGINAL PROGRAM  RCWFN       IN    CPC  8 (1974) 377-395
C                 +  RCWFF       IN    CPC 11 (1976) 141-142
C  FULL DESCRIPTION OF ALGORITHM IN    CPC 21 (1981) 297-314
C  REVISED STANDARD  COULFG      IN    CPC 27 (1982) 147-166
C  BACKGROUND MATERIAL IN J. COMP. PHYSICS 46 (1982) 171-188         
C  CURRENT PROGRAM   COUL90  (FORTRAN77) SUPERCEDES THESE EARLIER ONES
C  (WHICH WERE WRITTEN IN FORTRAN 4) AND ALSO BY INCORPORATING THE NEW
C  LENTZ-THOMPSON ALGORITHM FOR EVALUATING THE FIRST CONTINUED FRACTION
C  ..SEE ALSO APPENDIX TO J. COMP. PHYSICS 64 (1986) 490-509     1.4.94
C----------------------------------------------------------------------
C  AUTHOR: A. R. BARNETT           MANCHESTER  MARCH   1981/95
C                                  AUCKLAND    MARCH   1991
C----------------------------------------------------------------------
      IMPLICIT         NONE
      INTEGER          LRANGE, KFN, IFAIL
      DOUBLE PRECISION X, ETA, XLMIN
      DOUBLE PRECISION FC (0:*), GC (0:*), FCP(0:*), GCP(0:*)
C----- ARRAYS INDEXED FROM 0 INSIDE SUBROUTINE: STORAGE FROM MINL
      DOUBLE PRECISION ACCUR,ACCH,SMALL, ONE,ZERO,HALF,TWO,TEN2, RT2DPI
      DOUBLE PRECISION XINV,PK,CF1,C,D,PK1,ETAK,RK2,TK,DCF1,DEN,XLM,XLL
      DOUBLE PRECISION EL,XL,RL,SL, F,FCMAXL,FCMINL,GCMINL,OMEGA,WRONSK
      DOUBLE PRECISION WI, A,B, AR,AI,BR,BI,DR,DI,DP,DQ, ALPHA,BETA
      DOUBLE PRECISION E2MM1, FJWKB,GJWKB, P,Q,PACCQ, GAMMA,GAMMAI
      INTEGER          IEXP, NFP, NPQ, L, MINL,MAXL, LIMIT
      LOGICAL          ETANE0, XLTURN
      PARAMETER      ( LIMIT = 20000, SMALL = 1.0D-150 )
      COMMON  /STEED/  PACCQ,NFP,NPQ,IEXP,MINL    !not required in code
      COMMON  /DESET/  CF1,P,Q,F,GAMMA,WRONSK     !information only
C----------------------------------------------------------------------
C     COUL90 HAS CALLS TO: DSQRT,DABS,MAX0,IDINT,DSIGN,DFLOAT,DMIN1
C----------------------------------------------------------------------
      DATA ZERO,ONE,TWO,TEN2,HALF /0.0D0, 1.0D0, 2.0D0, 1.0D2, 0.5D0/
      DATA RT2DPI /0.79788 45608 02865  D0/ 
CQ    DATA RT2DPI /0.79788 45608 02865 35587 98921 19868 76373 Q0/
C-----THIS CONSTANT IS  DSQRT(TWO / PI):
C-----USE Q0 FOR IBM REAL*16: D0 FOR REAL*8 AND DOUBLE PRECISION
C----------------CHANGE ACCUR TO SUIT MACHINE AND PRECISION REQUIRED
                        ACCUR = 1.0D-14
      IFAIL = 0
      IEXP  = 1
      NPQ   = 0
      GJWKB = ZERO
      PACCQ = ONE
      IF(KFN .NE. 0) ETA = ZERO
                 ETANE0  = ETA .NE. ZERO                                
      ACCH  = DSQRT(ACCUR)
C-----   TEST RANGE OF X, EXIT IF.LE.DSQRT(ACCUR) OR IF NEGATIVE
                IF( X .LE. ACCH )                GO TO 100
      IF( KFN.EQ.2 )   THEN
         XLM = XLMIN - HALF                                  
        ELSE
         XLM = XLMIN                                                     
        ENDIF
      IF( XLM.LE.-ONE .OR. LRANGE.LT.0 )         GO TO 105 
      E2MM1  = XLM * XLM + XLM
      XLTURN = X * (X -  TWO * ETA) .LT. E2MM1
      E2MM1  = E2MM1  +  ETA * ETA
      XLL    = XLM + DFLOAT(LRANGE)
C-----  LRANGE IS NUMBER OF ADDITIONAL LAMBDA VALUES TO BE COMPUTED
C-----  XLL  IS MAX LAMBDA VALUE [ OR 0.5 SMALLER FOR J,Y BESSELS ]
C-----  DETERMINE STARTING ARRAY ELEMENT (MINL) FROM XLMIN
      MINL  = MAX0( IDINT(XLMIN + ACCUR),0 )     ! index from 0
      MAXL  = MINL + LRANGE
C-----   EVALUATE CF1  =  F   =  DF(L,ETA,X)/DX   /   F(L,ETA,X)
      XINV = ONE / X
      DEN  = ONE                       ! unnormalised F(MAXL,ETA,X)
      PK   = XLL + ONE
      CF1  = ETA / PK  +  PK * XINV                                             
           IF( DABS(CF1).LT.SMALL )    CF1 = SMALL
      RK2  = ONE
         D = ZERO
         C = CF1
C----- BEGIN CF1 LOOP ON PK = K STARTING AT LAMBDA + 1: LENTZ-THOMPSON
      DO 10 L =  1 , LIMIT             ! abort if reach LIMIT (20000)    
          PK1 = PK + ONE
          IF( ETANE0 ) THEN
                ETAK = ETA / PK
                RK2  = ONE + ETAK * ETAK
                 TK  = (PK + PK1) * (XINV + ETAK / PK1)
             ELSE
                 TK  = (PK + PK1) * XINV
             ENDIF
          D   =  TK - RK2 * D          ! direct  ratio of B convergents    
          C   =  TK - RK2 / C          ! inverse ratio of A convergents
            IF( DABS(C).LT.SMALL ) C = SMALL
            IF( DABS(D).LT.SMALL ) D = SMALL
          D   = ONE / D
          DCF1=   D * C
          CF1 = CF1 * DCF1
              IF( D.LT.ZERO )    DEN = -DEN
          PK  = PK1
          IF( DABS(DCF1-ONE).LT.ACCUR )     GO TO  20 ! proper exit
   10 CONTINUE
                                            GO TO 110 ! error exit 
   20       NFP = PK - XLL - 1                        ! number of steps
              F = CF1                                 ! need DEN later
C----DOWNWARD RECURRENCE TO LAMBDA = XLM; ARRAYS GC, GCP STORE RL, SL
      IF( LRANGE.GT.0 )       THEN
          FCMAXL    = SMALL  * DEN 
          FCP(MAXL) = FCMAXL * CF1
          FC (MAXL) = FCMAXL
                    XL = XLL                   
                    RL = ONE
          DO 30 L =  MAXL, MINL+1, -1
             IF( ETANE0 )  THEN
                    EL = ETA / XL                
                    RL = DSQRT( ONE + EL * EL )
                    SL = XL * XINV  + EL
                    GC (L) = RL                  ! storage
                    GCP(L) = SL
                ELSE
                    SL = XL * XINV
                ENDIF
             FC (L-1)  = ( FC(L)   * SL  +  FCP(L) ) / RL
             FCP(L-1)  =   FC(L-1) * SL  -  FC (L) * RL
             XL    =  XL - ONE                   ! end value is XLM
   30     CONTINUE
         IF( DABS(FC(MINL)).LT.ACCUR*SMALL )  FC(MINL) = ACCUR * SMALL
          F   = FCP(MINL) / FC(MINL)             ! F'/F at min L-value
          DEN = FC (MINL)                        ! normalisation
      ENDIF
C---------------------------------------------------------------------
C-----   NOW WE HAVE REACHED LAMBDA = XLMIN = XLM
C-----   EVALUATE CF2 = P + I.Q  USING STEED'S ALGORITHM (NO ZEROS)
C---------------------------------------------------------------------
      IF( XLTURN ) CALL JWKB( X,ETA,DMAX1(XLM,ZERO),FJWKB,GJWKB,IEXP )
      IF( IEXP.GT.1 .OR. GJWKB.GT.(ONE / (ACCH*TEN2)) ) THEN
          OMEGA = FJWKB
          GAMMA = GJWKB * OMEGA
          P     = F
          Q     = ONE
        ELSE                                     ! find cf2                               
          XLTURN = .FALSE.
          PK =  ZERO
          WI =  ETA + ETA
          P  =  ZERO
          Q  =  ONE - ETA * XINV
          AR = -E2MM1
          AI =  ETA
          BR =  TWO * (X - ETA)
          BI =  TWO
          DR =  BR / (BR * BR + BI * BI)
          DI = -BI / (BR * BR + BI * BI)
          DP = -XINV * (AR * DI + AI * DR)
          DQ =  XINV * (AR * DR - AI * DI)
          DO 40 L = 1, LIMIT
             P  = P  + DP
             Q  = Q  + DQ
             PK = PK + TWO
             AR = AR + PK
             AI = AI + WI                                                   
             BI = BI + TWO                                                  
             D  = AR * DR - AI * DI + BR                                        
             DI = AI * DR + AR * DI + BI                                        
             C  = ONE / (D * D + DI * DI)                                         
             DR =  C * D                                                      
             DI = -C * DI                                                     
             A  = BR * DR - BI * DI - ONE                                       
             B  = BI * DR + BR * DI                                             
             C  = DP * A  - DQ * B
             DQ = DP * B  + DQ * A                                              
             DP = C
      IF( DABS(DP)+DABS(DQ).LT.(DABS(P)+DABS(Q)) * ACCUR ) GO TO 50
   40     CONTINUE
                                              GO TO 120 ! error exit
   50     NPQ   = PK / TWO                              ! proper exit
          PACCQ = HALF * ACCUR / DMIN1( DABS(Q),ONE )
          IF( DABS(P).GT.DABS(Q) ) PACCQ = PACCQ * DABS(P)
C---------------------------------------------------------------------
C    SOLVE FOR FCMINL = F AT LAMBDA = XLM AND NORMALISING FACTOR OMEGA
C---------------------------------------------------------------------
          GAMMA   = (F - P) / Q
          GAMMAI  = ONE / GAMMA
          IF( DABS(GAMMA) .LE. ONE )  THEN 
                 OMEGA  = DSQRT( ONE  +  GAMMA * GAMMA )
            ELSE
                 OMEGA  = DSQRT( ONE  +  GAMMAI* GAMMAI) * DABS(GAMMA)
            ENDIF 
          OMEGA  = ONE / ( OMEGA * DSQRT(Q) )
          WRONSK = OMEGA
        ENDIF   
C--------------------------------------------------------------------- 
C    RENORMALISE IF SPHERICAL OR CYLINDRICAL BESSEL FUNCTIONS
C---------------------------------------------------------------------
      IF( KFN.EQ.1 )       THEN         !   spherical Bessel functions
                 ALPHA = XINV
                 BETA  = XINV
        ELSEIF( KFN.EQ.2 ) THEN         ! cylindrical Bessel functions
                 ALPHA = HALF * XINV
                 BETA  = DSQRT( XINV ) * RT2DPI
        ELSE                            ! kfn = 0,   Coulomb functions
                 ALPHA = ZERO     
                 BETA  = ONE
        ENDIF
      FCMINL = DSIGN( OMEGA,DEN ) * BETA
      IF( XLTURN )   THEN
                        GCMINL =   GJWKB * BETA
        ELSE
                        GCMINL =  FCMINL * GAMMA
        ENDIF
      IF( KFN.NE.0 )    GCMINL = -GCMINL         ! Bessel sign differs
      FC (MINL) = FCMINL
      GC (MINL) = GCMINL
      GCP(MINL) = GCMINL * (P - Q * GAMMAI - ALPHA) 
      FCP(MINL) = FCMINL * (F - ALPHA)
      IF( LRANGE.EQ.0 )                          RETURN
C---------------------------------------------------------------------
C    UPWARD RECURRENCE FROM GC(MINL),GCP(MINL) STORED VALUES ARE RL,SL
C    RENORMALISE FC,FCP AT EACH LAMBDA AND CORRECT REGULAR DERIVATIVE
C      XL   = XLM HERE  AND RL = ONE , EL = ZERO FOR BESSELS
C---------------------------------------------------------------------
      OMEGA = BETA * OMEGA / DABS(DEN)
                 XL = XLM
                 RL = ONE 
      DO 60  L = MINL+1 , MAXL                   ! indexed from 0
                 XL = XL + ONE
          IF( ETANE0 ) THEN
                 RL = GC (L)
                 SL = GCP(L)
            ELSE 
                 SL =  XL * XINV
            ENDIF
          GC (L)  = ( (SL - ALPHA) * GC(L-1) - GCP(L-1) ) / RL
          GCP(L)  =    RL *  GC(L-1)  -  (SL + ALPHA) * GC(L)
          FCP(L)  = OMEGA * ( FCP(L)  -  ALPHA * FC(L) )
          FC (L)  = OMEGA *   FC (L)
   60 CONTINUE
      RETURN
C------------------   ERROR MESSAGES
  100 IFAIL = -1
      WRITE(6,1000) X,ACCH
 1000 FORMAT(' FOR X = ',1PD12.3,'     TRY SMALL-X  SOLUTIONS,'
     *' OR X IS NEGATIVE'/ ,' SQUARE ROOT (ACCURACY) =  ',D12.3/)
                     RETURN
  105 IFAIL = -2                                                        
      WRITE (6,1005) LRANGE,XLMIN,XLM                                    
 1005 FORMAT(/' PROBLEM WITH INPUT ORDER VALUES: LRANGE, XLMIN, XLM = ',    
     *I10,1P2D15.6/)                                                        
                     RETURN                                   
  110 IFAIL =  1                                                        
      WRITE (6,1010) LIMIT, CF1,DCF1, PK,ACCUR                              
 1010 FORMAT(' CF1 HAS FAILED TO CONVERGE AFTER ',I10,' ITERATIONS',/ 
     *' CF1,DCF1,PK,ACCUR =  ',1P4D12.3/)                               
                     RETURN                                       
  120 IFAIL =  2                                                        
      WRITE (6,1020) LIMIT,P,Q,DP,DQ,ACCUR
 1020 FORMAT(' CF2 HAS FAILED TO CONVERGE AFTER ',I7,' ITERATIONS',/  
     *' P,Q,DP,DQ,ACCUR =  ',1P4D17.7,D12.3/)
                     RETURN                                              
      END                                                               
C---------------------------------------------------------------------                                                                       
      SUBROUTINE  JWKB   (X,ETA,XL, FJWKB,GJWKB, IEXP)            
      DOUBLE PRECISION    X,ETA,XL, FJWKB,GJWKB, DZERO                      
C----------------------------------------------------------------------
C-----COMPUTES JWKB APPROXIMATIONS TO COULOMB FUNCTIONS  FOR XL .GE. 0.
C-----AS MODIFIED BY BIEDENHARN ET AL. PHYS REV 97 (1955) 542-554
C-----CALCULATED IN SINGLE, RETURNED IN DOUBLE PRECISION VARIABLES
C-----CALLS DMAX1, SQRT, ALOG, EXP, ATAN2, FLOAT, INT     
C     AUTHOR:    A.R.BARNETT   FEB 1981    LAST UPDATE MARCH 1991
C----------------------------------------------------------------------
      REAL    ZERO,HALF,ONE,SIX,TEN,RL35,ALOGE
      REAL    GH2,XLL1,HLL,HL,SL,RL2,GH,PHI,PHI10
      INTEGER IEXP, MAXEXP
      PARAMETER  ( MAXEXP = 300 )
      DATA  ZERO,HALF,ONE,SIX,TEN  /0.0E0, 0.5E0, 1.0E0, 6.0E0, 1.0E1/
      DATA DZERO,RL35,ALOGE /0.0D0, 35.0E0, 0.43429 45 E0 /  
C----------------------------------------------------------------------
CHOOSE MAXEXP NEAR MAX EXPONENT RANGE E.G. 1.D300 FOR DOUBLE PRECISION
C----------------------------------------------------------------------
      GH2   =  X * (ETA + ETA - X)                                         
      XLL1  = DMAX1( XL * XL + XL, DZERO )                                   
      IF( GH2 + XLL1 .LE. ZERO )                 RETURN
      HLL  = XLL1 + SIX / RL35                                           
      HL   = SQRT(HLL)                                                 
      SL   = ETA / HL + HL / X                                             
      RL2  = ONE + ETA * ETA / HLL                                         
      GH   = SQRT(GH2 + HLL) / X                                         
      PHI  = X*GH - HALF*( HL*ALOG((GH + SL)**2 / RL2) - ALOG(GH) )      
      IF ( ETA.NE.ZERO ) PHI = PHI - ETA * ATAN2(X*GH,X - ETA)         
      PHI10 = -PHI * ALOGE                                                
      IEXP  =  INT(PHI10)                                               
      IF ( IEXP.GT.MAXEXP ) THEN
           GJWKB = TEN**(PHI10 - FLOAT(IEXP))               
      ELSE
           GJWKB = EXP(-PHI)                                
           IEXP  = 0                                        
      ENDIF
      FJWKB = HALF / (GH * GJWKB)                                           
      RETURN                                                            
      END                                                               
C---------------------------------------------------------------------
C     END OF CONTINUED-FRACTION COULOMB & BESSEL PROGRAM  COUL90
C---------------------------------------------------------------------
