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)abbrev domain E04JAFA e04jafAnnaType
++ Author: Brian Dupee
++ Date Created: February 1996
++ Date Last Updated: February 1996
++ References:
++ Dupe95 Using Computer Algebra to Choose and Apply Numerical Routines
++ Dewa92 Using Computer Algebra to Select Numerical Algorithms
++ Description:
++ \axiomType{e04jafAnnaType} is a domain of \axiomType{NumericalOptimization}
++ for the NAG routine E04JAF, a general optimization routine which
++ can handle some singularities in the input function.  The function
++ \axiomFun{measure} measures the usefulness of the routine E04JAF
++ for the given problem.  The function \axiomFun{numericalOptimization}
++ performs the optimization by using \axiomType{NagOptimisationPackage}.

e04jafAnnaType() : SIG == CODE where

  DF  ==> DoubleFloat
  EF  ==> Expression Float
  EDF  ==> Expression DoubleFloat
  PDF  ==> Polynomial DoubleFloat
  VPDF  ==> Vector Polynomial DoubleFloat
  LDF  ==> List DoubleFloat
  LOCDF  ==> List OrderedCompletion DoubleFloat
  MDF  ==> Matrix DoubleFloat
  MPDF  ==> Matrix Polynomial DoubleFloat
  MF  ==> Matrix Float
  MEF  ==> Matrix Expression Float
  LEDF  ==> List Expression DoubleFloat
  VEF  ==> Vector Expression Float
  NOA  ==> Record(fn:EDF, init:LDF, lb:LOCDF, cf:LEDF, ub:LOCDF)
  LSA  ==> Record(lfn:LEDF, init:LDF)
  EF2  ==> ExpressionFunctions2
  MI  ==> Matrix Integer
  INT  ==> Integer
  F  ==> Float
  NNI  ==> NonNegativeInteger
  S  ==> Symbol
  LS  ==> List Symbol
  MVCF  ==> MultiVariableCalculusFunctions
  ESTOOLS2 ==> ExpertSystemToolsPackage2
  SDF  ==> Stream DoubleFloat
  LSDF  ==> List Stream DoubleFloat
  SOCDF  ==> Segment OrderedCompletion DoubleFloat
  OCDF  ==> OrderedCompletion DoubleFloat

  SIG ==> NumericalOptimizationCategory 

  CODE ==> Result add

    Rep:=Result
    import Rep, NagOptimisationPackage
    import e04AgentsPackage,ExpertSystemToolsPackage

    bound(a:LOCDF,b:LOCDF):Integer ==  
      empty?(concat(a,b)) => 1
      (#(removeDuplicates(a)) = 1) and  zero?(first(a)) => 2
      (#(removeDuplicates(a)) = 1) and (#(removeDuplicates(b)) = 1) => 3
      0  

    measure(R:RoutinesTable,args:NOA) ==
      string:String := "e04jaf is "
      if positive?(#(args.cf)) then
        if not simpleBounds?(args.cf) then
          string := 
            concat(string,_
              "suitable for simple bounds only, not constraint functions.")
      (# string) < 20 => 
        if zero?(#(args.lb) + #(args.ub)) then
          string := concat(string, "usable if there are no constraints")
          [getMeasure(R,e04jaf@Symbol)$RoutinesTable*0.5,string]
        else
          string := concat(string,"recommended")
          [getMeasure(R,e04jaf@Symbol)$RoutinesTable, string]
      [0.0,string]

    numericalOptimization(args:NOA) ==
      argsFn:EDF := args.fn
      n:NNI := #(variables(argsFn)$EDF)
      ibound:INT := bound(args.lb,args.ub)
      m:INT := n 
      lw:INT := max(13,12 * m + ((m * (m - 1)) quo 2)$INT)$INT
      bl := mat(finiteBound(args.lb,float(1,6,10)$DF),n)
      bu := mat(finiteBound(args.ub,float(1,6,10)$DF),n)
      x := mat(args.init,n)
      ArgsFn:EF := edf2ef(argsFn)
      fr:Union(fn:FileName,fp:Asp24(FUNCT1)) := [retract(ArgsFn)$Asp24(FUNCT1)]
      out:Result := e04jaf(n,ibound,n+2,lw,bl,bu,x,-1,fr)
      changeNameToObjf(f@Symbol,out)