gap-online-help 4r7p9-1 / usr / share / gap / doc / ref / chap19.txt

  
  19 Floats
  
  Starting  with  version  4.5,  GAP  has  built-in support for floating-point
  numbers    in    machine   format,   and   allows   package   to   implement
  arbitrary-precision  floating-point arithmetic in a uniform manner. For now,
  one  such  package,  Float  exists,  and is based on the arbitrary-precision
  routines in mpfr.
  
  A  word of caution: GAP deals primarily with algebraic objects, which can be
  represented   exactly  in  a  computer.  Numerical  imprecision  means  that
  floating-point  numbers  do not form a ring in the strict GAP sense, because
  addition  is  in general not associative ((1.0e-100+1.0)-1.0 is not the same
  as 1.0e-100+(1.0-1.0), in the default precision setting).
  
  Most  algorithms  in  GAP  which require ring elements will therefore not be
  applicable  to  floating-point  elements. In some cases, such a notion would
  not  even  make  any  sense  (what  is  the  greatest  common divisor of two
  floating-point numbers?)
  
  
  19.1 A sample run
  
  Floating-point  numbers can be input into GAP in the standard floating-point
  notation:
  
    Example  
    gap> 3.14;
    3.14
    gap> last^2/6;
    1.64327
    gap> h := 6.62606896e-34;
    6.62607e-34
    gap> pi := 4*Atan(1.0);
    3.14159
    gap> hbar := h/(2*pi);
    1.05457e-34
  
  
  Floating-point  numbers  can  also  be  created using Float, from strings or
  rational numbers; and can be converted back using String,Rat,Int.
  
  GAP allows rational and floating-point numbers to be mixed in the elementary
  operations +,-,*,/. However, floating-point numbers and rational numbers may
  not be compared. Conversions are performed using the creator Float:
  
    Example  
    gap> Float("3.1416");
    3.1416
    gap> Float(355/113);
    3.14159
    gap> Rat(last);
    355/113
    gap> Rat(0.33333);
    1/3
    gap> Int(1.e10);
    10000000000
    gap> Int(1.e20);
    100000000000000000000
    gap> Int(1.e30);
    1000000000000000019884624838656
  
  
  
  19.2 Methods
  
  Floating-point  numbers  may be directly input, as in any usual mathematical
  software  or  language;  with the exception that every floating-point number
  must  contain  a decimal digit. Therefore .1, .1e1, -.999 etc. are all valid
  GAP inputs.
  
  Floating-point  numbers  so  entered  in GAP are stored as strings. They are
  converted  to  floating-point  when they are first used. This means that, if
  the  floating-point precision is increased, the constants are reevaluated to
  fit the new format.
  
  Floating-point  numbers  may  be  followed by an underscore, as in 1._. This
  means   that   they   are   to  be  immediately  converted  to  the  current
  floating-point  format.  The  underscore may be followed by a single letter,
  which  specifies which format/precision to use. By default, GAP has a single
  floating-point  handler,  with  fixed  (53  bits)  precision, and its format
  specifier is 'l' as in 1._l. Higher-precision floating-point computations is
  available via external packages; float for example.
  
  A  record,  FLOAT  (19.2-6), contains all relevant constants for the current
  floating-point format; see its documentation for details. Typical fields are
  FLOAT.MANT_DIG=53,  the  constant  FLOAT.VIEW_DIG=6 specifying the number of
  digits to view, and FLOAT.PI for the constant π. The constants have the same
  name as their C counterparts, except for the missing initial DBL_ or M_.
  
  Floating-point  numbers  may  be  created  using  the  single function Float
  (19.2-7),  which  accepts  as  arguments rational, string, or floating-point
  numbers.  Floating-point  numbers may also be created, in any floating-point
  representation,        using       NewFloat       (19.2-7)       as       in
  NewFloat(IsIEEE754FloatRep,355/113), by supplying the category filter of the
  desired  new  floating-point  number;  or  using  MakeFloat  (19.2-7)  as in
  NewFloat(1.0,355/113), by supplying a sample floating-point number.
  
  Floating-point  numbers may also be converted to other GAP formats using the
  usual commands Int (14.2-3), Rat (17.2-6), String (27.6-6).
  
  Exact  conversion  to  and  from  floating-point  format  may  be done using
  external  representations. The "external representation" of a floating-point
  number     x     is    a    pair    [m,e]    of    integers,    such    that
  x=m*2^(-1+e-LogInt(AbsInt(m),2)).    Conversion   to   and   from   external
  representation  is  performed  as  usual  using  ExtRepOfObj  (79.16-1)  and
  ObjByExtRep (79.16-1):
  
    Example  
    gap> ExtRepOfObj(3.14);
    [ 7070651414971679, 2 ]
    gap> ObjByExtRep(IEEE754FloatsFamily,last);
    3.14
  
  
  Computations  with floating-point numbers never raise any error. Division by
  zero is allowed, and produces a signed infinity. Illegal operations, such as
  0./0.,  produce NaN's (not-a-number); this is the only floating-point number
  x such that not EqFloat(x+0.0,x).
  
  The  IEEE754  standard  requires NaN to be non-equal to itself. On the other
  hand,  GAP  requires  every  object  to  be  equal to itself. To respect the
  IEEE754 standard, the function EqFloat (19.2-2) should be used instead of =.
  
  The  category  a  floating-point belongs to can be checked using the filters
  IsFinite  (30.4-2),  IsPInfinity (19.2-5), IsNInfinity (19.2-5), IsXInfinity
  (19.2-5), IsNaN (19.2-5).
  
  Comparisons  between  floating-point  numbers  and  rationals are explicitly
  forbidden.  The  rationale  is  that objects belonging to different families
  should  in general not be comparable in GAP. Floating-point numbers are also
  approximations  of  real  numbers, and don't follow the same rules; consider
  for example, using the default GAP implementation of floating-point numbers,
  
    Example  
    gap> 1.0/3.0 = Float(1/3);
    true
    gap> (1.0/3.0)^5 = Float((1/3)^5);
    false
  
  
  
  19.2-1 Mathematical operations
  
  Cos( x )  operation
  Sin( x )  operation
  SinCos( x )  operation
  Tan( x )  operation
  Sec( x )  operation
  Csc( x )  operation
  Cot( x )  operation
  Asin( x )  operation
  Acos( x )  operation
  Atan( x )  operation
  Atan2( y, x )  operation
  Cosh( x )  operation
  Sinh( x )  operation
  Tanh( x )  operation
  Sech( x )  operation
  Csch( x )  operation
  Coth( x )  operation
  Asinh( x )  operation
  Acosh( x )  operation
  Atanh( x )  operation
  Log( x )  operation
  Log2( x )  operation
  Log10( x )  operation
  Log1p( x )  operation
  Exp( x )  operation
  Exp2( x )  operation
  Exp10( x )  operation
  Expm1( x )  operation
  Cuberoot( x )  operation
  Square( x )  operation
  Hypothenuse( x, y )  operation
  Ceil( x )  operation
  Floor( x )  operation
  Round( x )  operation
  Trunc( x )  operation
  Frac( x )  operation
  SignFloat( x )  operation
  Argument( x )  operation
  Erf( x )  operation
  Zeta( x )  operation
  Gamma( x )  operation
  ComplexI( x )  operation
  
  Usual mathematical functions.
  
  19.2-2 EqFloat
  
  EqFloat( x, y )  operation
  Returns:  Whether the floateans x and y are equal
  
  This  function compares two floating-point numbers, and returns true if they
  are  equal,  and  false  otherwise;  with  the  exception that NaN is always
  considered to be different from itself.
  
  19.2-3 PrecisionFloat
  
  PrecisionFloat( x )  operation
  Returns:  The precision of x
  
  This  function returns the precision, counted in number of binary digits, of
  the floating-point number x.
  
  
  19.2-4 Interval operations
  
  Sup( interval )  operation
  Inf( interval )  operation
  Mid( interval )  operation
  AbsoluteDiameter( interval )  operation
  RelativeDiameter( interval )  operation
  Overlaps( interval1, interval2 )  operation
  IsDisjoint( interval1, interval2 )  operation
  IncreaseInterval( interval, delta )  operation
  BlowupInterval( interval, ratio )  operation
  BisectInterval( interval )  operation
  
  Most  are  self-explanatory.  BlowupInterval  returns  an interval with same
  midpoint  but relative diameter increased by ratio; IncreaseInterval returns
  an  interval  with  same  midpoint but absolute diameter increased by delta;
  BisectInterval returns a list of two intervals whose union equals interval.
  
  19.2-5 IsPInfinity
  
  IsPInfinity( x )  property
  IsNInfinity( x )  property
  IsXInfinity( x )  property
  IsFinite( x )  property
  IsNaN( x )  property
  
  Returns  true  if  the  floating-point  number x is respectively +∞, -∞, ±∞,
  finite, or `not a number', such as the result of 0.0/0.0.
  
  19.2-6 FLOAT
  
  FLOAT global variable
  
  This record contains useful floating-point constants:
  
  DECIMAL_DIG
        Maximal number of useful digits;
  
  DIG
        Number of significant digits;
  
  VIEW_DIG
        Number of digits to print in short view;
  
  EPSILON
        Smallest number such that 1≠1+ϵ;
  
  MANT_DIG
        Number of bits in the mantissa;
  
  MAX
        Maximal representable number;
  
  MAX_10_EXP
        Maximal decimal exponent;
  
  MAX_EXP
        Maximal binary exponent;
  
  MIN
        Minimal positive representable number;
  
  MIN_10_EXP
        Minimal decimal exponent;
  
  MIN_EXP
        Minimal exponent;
  
  INFINITY
        Positive infinity;
  
  NINFINITY
        Negative infinity;
  
  NAN
        Not-a-number,
  
  as  well  as  mathematical  constants E, LOG2E, LOG10E, LN2, LN10, PI, PI_2,
  PI_4, 1_PI, 2_PI, 2_SQRTPI, SQRT2, SQRT1_2.
  
  19.2-7 Float
  
  Float( obj )  operation
  NewFloat( filter, obj )  operation
  MakeFloat( sample, obj, obj )  operation
  Returns:  A new floating-point number, based on obj
  
  This function creates a new floating-point number.
  
  If  obj  is a rational number, the created number is created with sufficient
  precision so that the number can (usually) be converted back to the original
  number  (see  Rat  (Reference:  Rat)  and Rat (17.2-6)). For an integer, the
  precision,  if unspecified, is chosen sufficient so that Int(Float(obj))=obj
  always holds, but at least 64 bits.
  
  obj  may  also be a string, which may be of the form "3.14e0" or ".314e1" or
  ".314@1" etc.
  
  An option may be passed to specify, it bits, a desired precision. The format
  is  Float("3.14":PrecisionFloat:=1000) to create a 1000-bit approximation of
  3.14.
  
  In   particular,   if   obj   is   already  a  floating-point  number,  then
  Float(obj:PrecisionFloat:=prec)  creates a copy of obj with a new precision.
  prec
  
  19.2-8 Rat
  
  Rat( f )  operation
  Returns:  A rational approximation to f
  
  This  command  constructs  a  rational  approximation  to the floating-point
  number  f.  Of  course, it is not guaranteed to return the original rational
  number f was created from, though it returns the most `reasonable' one given
  the precision of f.
  
  Two options control the precision of the rational approximation: In the form
  Rat(f:maxdenom:=md,maxpartial:=mp),  the  rational returned is such that the
  denominator  is  at  most  md  and  the  partials  in its continued fraction
  expansion  are  at  most  mp.  The  default values are maxpartial:=10000 and
  maxdenom:=2^(precision/2).
  
  19.2-9 SetFloats
  
  SetFloats( rec[, bits][, install] )  function
  
  Installs a new interface to floating-point numbers in GAP, optionally with a
  desired  precision bits in binary digits. The last optional argument install
  is  a  boolean  value;  if false, it only installs the eager handler and the
  precision for the floateans, without making them the default.
  
  
  19.3 High-precision-specific methods
  
  GAP  provides  a  mechanism  for  packages  to  implement new floating-point
  numerical   interfaces.  The  following  describes  that  mechanism,  actual
  examples of packages are documented separately.
  
  A package must create a record with fields (all optional)
  
  creator
        a function converting strings to floating-point;
  
  eager
        a character allowing immediate conversion to floating-point;
  
  objbyextrep
        a   function   creating   a   floating-point  number  out  of  a  list
        [mantissa,exponent];
  
  filter
        a filter for the new floating-point objects;
  
  constants
        a  record  containing numerical constants, such as MANT_DIG, MAX, MIN,
        NAN.
  
  The  package  must  install  methods  Int,  Rat, String for its objects, and
  creators NewFloat(filter,IsRat), NewFloat(IsString).
  
  It  must  then  install methods for all arithmetic and numerical operations:
  PLUS, Exp, ...
  
  The  user chooses that implementation by calling SetFloats (19.2-9) with the
  record  as  argument,  and  with  an  optional  second argument requesting a
  precision in binary digits.
  
  
  19.4 Complex arithmetic
  
  Complex  arithmetic may be implemented in packages, and is present in float.
  Complex  numbers  are  treated  as  usual numbers; they may be input with an
  extra "i" as in -0.5+0.866i.
  
  Methods  should  then  be  implemented  for  Norm,  RealPart, ImaginaryPart,
  ComplexConjugate, ...
  
  
  19.5 Interval-specific methods
  
  Interval  arithmetic  may  also be implemented in packages. Intervals are in
  fact efficient implementations of sets of real numbers. The only non-trivial
  issue is how they should be compared. The standard EQ tests if the intervals
  are  equal; however, it is usually more useful to know if intervals overlap,
  or are disjoint, or are contained in each other. The methods provided by the
  package                            should                            include
  Sup,Inf,Mid,DiameterOfInterval,Overlaps,IsSubset,IsDisjoint.
  
  Note  the usual convention that intervals are compared as in [a,b]le[c,d] if
  and only if ale c and ble d.