\documentclass{article}
\usepackage{axiom}
\begin{document}
\title{\$SPAD/src/algebra float.spad}
\author{Michael Monagan}
\maketitle
\begin{abstract}
\end{abstract}
\eject
\tableofcontents
\eject
\section{domain FLOAT Float}
As reported in bug number 4733 (rounding of negative numbers)
errors were observed in operations such as
\begin{verbatim}
  -> round(-3.9)
  -> truncate(-3.9)
\end{verbatim}
The problem is the unexpected behaviour of the shift
with negative integer arguments.
\begin{verbatim}
  -> shift(-7,-1)
\end{verbatim}
returns -4 while the code here in float expects the
value to be -3. shift uses the lisp function ASH
'arithmetic shift left' but the spad code expects
an unsigned 'logical' shift. See
\begin{verbatim}
  http://www.lispworks.com/reference/HyperSpec/Body/f_ash.htm#ash
\end{verbatim}
A new internal function shift2 is defined in terms of
shift to compensate for the use of ASH and provide the
required function.

It is currently unknown whether the unexpected behaviour
of shift for negative arguments will cause bugs in other
parts of Axiom.
<<domain FLOAT Float>>=
)abbrev domain FLOAT Float

B ==> Boolean
I ==> Integer
S ==> String
PI ==> PositiveInteger
RN ==> Fraction Integer
SF ==> DoubleFloat
N ==> NonNegativeInteger

++ Author: Michael Monagan
++ Date Created:
++   December 1987
++ Change History:
++   19 Jun 1990
++ Basic Operations: outputFloating, outputFixed, outputGeneral, outputSpacing,
++   atan, convert, exp1, log2, log10, normalize, rationalApproximation,
++   relerror, shift, / , ^
++ Keywords: float, floating point, number
++ Description: \spadtype{Float} implements arbitrary precision floating
++ point arithmetic.
++ The number of significant digits of each operation can be set
++ to an arbitrary value (the default is 20 decimal digits).
++ The operation \spad{float(mantissa,exponent,\spadfunFrom{base}{FloatingPointSystem})} for integer
++ \spad{mantissa}, \spad{exponent} specifies the number
++ \spad{mantissa * \spadfunFrom{base}{FloatingPointSystem} ^ exponent}
++ The underlying representation for floats is binary
++ not decimal. The implications of this are described below.
++
++ The model adopted is that arithmetic operations are rounded to
++ to nearest unit in the last place, that is, accurate to within
++ \spad{2^(-\spadfunFrom{bits}{FloatingPointSystem})}.
++ Also, the elementary functions and constants are
++ accurate to one unit in the last place.
++ A float is represented as a record of two integers, the mantissa
++ and the exponent.  The \spadfunFrom{base}{FloatingPointSystem}
++ of the representation is binary, hence
++ a \spad{Record(m:mantissa,e:exponent)} represents the number \spad{m * 2 ^ e}.
++ Though it is not assumed that the underlying integers are represented
++ with a binary \spadfunFrom{base}{FloatingPointSystem},
++ the code will be most efficient when this is the
++ the case (this is true in most implementations of Lisp).
++ The decision to choose the \spadfunFrom{base}{FloatingPointSystem} to be
++ binary has some unfortunate
++ consequences.  First, decimal numbers like 0.3 cannot be represented
++ exactly.  Second, there is a further loss of accuracy during
++ conversion to decimal for output.  To compensate for this, if d
++ digits of precision are specified, \spad{1 + ceiling(log2 d)} bits are used.
++ Two numbers that are displayed identically may therefore be
++ not equal.  On the other hand, a significant efficiency loss would
++ be incurred if we chose to use a decimal \spadfunFrom{base}{FloatingPointSystem} when the underlying
++ integer base is binary.
++
++ Algorithms used:
++ For the elementary functions, the general approach is to apply
++ identities so that the taylor series can be used, and, so
++ that it will converge within \spad{O( sqrt n )} steps.  For example,
++ using the identity \spad{exp(x) = exp(x/2)^2}, we can compute
++ \spad{exp(1/3)} to n digits of precision as follows.  We have
++ \spad{exp(1/3) = exp(2 ^ (-sqrt s) / 3) ^ (2 ^ sqrt s)}.
++ The taylor series will converge in less than sqrt n steps and the
++ exponentiation requires sqrt n multiplications for a total of
++ \spad{2 sqrt n} multiplications.  Assuming integer multiplication costs
++ \spad{O( n^2 )} the overall running time is \spad{O( sqrt(n) n^2 )}.
++ This approach is the best known approach for precisions up to
++ about 10,000 digits at which point the methods of Brent
++ which are \spad{O( log(n) n^2 )} become competitive.  Note also that
++ summing the terms of the taylor series for the elementary
++ functions is done using integer operations.  This avoids the
++ overhead of floating point operations and results in efficient
++ code at low precisions.  This implementation makes no attempt
++ to reuse storage, relying on the underlying system to do
++ \spadgloss{garbage collection}.  I estimate that the efficiency of this
++ package at low precisions could be improved by a factor of 2
++ if in-place operations were available.
++
++ Running times: in the following, n is the number of bits of precision
++      \spad{*}, \spad{/}, \spad{sqrt}, \spad{pi}, \spad{exp1}, \spad{log2}, \spad{log10}: \spad{ O( n^2 )}
++      \spad{exp}, \spad{log}, \spad{sin}, \spad{atan}:  \spad{ O( sqrt(n) n^2 )}
++ The other elementary functions are coded in terms of the ones above.


Float():
 Join(FloatingPointSystem, DifferentialRing, ConvertibleTo String, OpenMath,_
  CoercibleTo DoubleFloat, TranscendentalFunctionCategory,_
  ConvertibleTo InputForm, arbitraryPrecision, arbitraryExponent) with
   _/  : (%, I) -> %
      ++ x / i computes the division from x by an integer i.
   normalize: % -> %
      ++ normalize(x) normalizes x at current precision.
   relerror : (%, %) -> I
      ++ relerror(x,y) computes the absolute value of \spad{x - y} divided by
      ++ y, when \spad{y \~= 0}.
   shift: (%, I) -> %
      ++ shift(x,n) adds n to the exponent of float x.
   rationalApproximation: (%, N) -> RN
     ++ rationalApproximation(f, n) computes a rational approximation
     ++ r to f with relative error \spad{< 10^(-n)}.
   rationalApproximation: (%, N, N) -> RN
     ++ rationalApproximation(f, n, b) computes a rational
     ++ approximation r to f with relative error \spad{< b^(-n)}, that is
     ++ \spad{|(r-f)/f| < b^(-n)}.
   log2 : () -> %
      ++ log2() returns \spad{ln 2}, i.e. \spad{0.6931471805...}.
   log10: () -> %
      ++ log10() returns \spad{ln 10}: \spad{2.3025809299...}.
   exp1 : () -> %
      ++ exp1() returns  exp 1: \spad{2.7182818284...}.
   atan : (%,%) -> %
      ++ atan(x,y) computes the arc tangent from x with phase y.
   log2 : % -> %
      ++ log2(x) computes the logarithm for x to base 2.
   log10: % -> %
      ++ log10(x) computes the logarithm for x to base 10.
   convert: SF -> %
      ++ convert(x) converts a \spadtype{DoubleFloat} x to a \spadtype{Float}.
   outputFloating: () -> Void
      ++ outputFloating() sets the output mode to floating (scientific) notation, i.e.
      ++ \spad{mantissa * 10 exponent} is displayed as  \spad{0.mantissa E exponent}.
   outputFloating: N -> Void
      ++ outputFloating(n) sets the output mode to floating (scientific) notation
      ++ with n significant digits displayed after the decimal point.
   outputFixed: () -> Void
      ++ outputFixed() sets the output mode to fixed point notation;
      ++ the output will contain a decimal point.
   outputFixed: N -> Void
      ++ outputFixed(n) sets the output mode to fixed point notation,
      ++ with n digits displayed after the decimal point.
   outputGeneral: () -> Void
      ++ outputGeneral() sets the output mode (default mode) to general
      ++ notation; numbers will be displayed in either fixed or floating
      ++ (scientific) notation depending on the magnitude.
   outputGeneral: N -> Void
      ++ outputGeneral(n) sets the output mode to general notation
      ++ with n significant digits displayed.
   outputSpacing: N -> Void
      ++ outputSpacing(n) inserts a space after n (default 10) digits on output;
      ++ outputSpacing(0) means no spaces are inserted.
  == add
   BASE ==> 2
   BITS:Reference(PI) := ref 68 -- 20 digits
   LENGTH ==> INTEGER_-LENGTH$Lisp
   ISQRT ==> approxSqrt$IntegerRoots(I)
   Rep := Record( mantissa:I, exponent:I )
   StoredConstant ==> Record( precision:PI, value:% )
   UCA ==> Record( unit:%, coef:%, associate:% )
   inc ==> increasePrecision
   dec ==> decreasePrecision

   -- local utility operations
   shift2 : (I,I) -> I           -- WSP: fix bug in shift
   times : (%,%) -> %            -- multiply x and y with no rounding
   itimes: (I,%) -> %            -- multiply by a small integer
   chop: (%,PI) -> %             -- chop x at p bits of precision
   dvide: (%,%) -> %             -- divide x by y with no rounding
   square: (%,I) -> %            -- repeated squaring with chopping
   power: (%,I) -> %             -- x ^ n with chopping
   plus: (%,%) -> %              -- addition with no rounding
   sub: (%,%) -> %               -- subtraction with no rounding
   negate: % -> %                -- negation with no rounding
   ceillog10base2: PI -> PI      -- rational approximation
   floorln2: PI -> PI            -- rational approximation

   atanSeries: % -> %            -- atan(x) by taylor series |x| < 1/2
   atanInverse: I -> %           -- atan(1/n) for n an integer > 1
   expInverse: I -> %            -- exp(1/n) for n an integer
   expSeries: % -> %             -- exp(x) by taylor series  |x| < 1/2
   logSeries: % -> %             -- log(x) by taylor series 1/2 < x < 2
   sinSeries: % -> %             -- sin(x) by taylor series |x| < 1/2
   cosSeries: % -> %             -- cos(x) by taylor series |x| < 1/2
   piRamanujan: () -> %          -- pi using Ramanujans series

   writeOMFloat(dev: OpenMathDevice, x: %): Void ==
      OMputApp(dev)
      OMputSymbol(dev, "bigfloat1", "bigfloat")
      OMputInteger(dev, mantissa x)
      OMputInteger(dev, 2)
      OMputInteger(dev, exponent x)
      OMputEndApp(dev)

   OMwrite(x: %): String ==
      s: String := ""
      sp := OM_-STRINGTOSTRINGPTR(s)$Lisp
      dev: OpenMathDevice := OMopenString(sp pretend String, OMencodingXML)
      OMputObject(dev)
      writeOMFloat(dev, x)
      OMputEndObject(dev)
      OMclose(dev)
      s := OM_-STRINGPTRTOSTRING(sp)$Lisp pretend String
      s

   OMwrite(x: %, wholeObj: Boolean): String ==
      s: String := ""
      sp := OM_-STRINGTOSTRINGPTR(s)$Lisp
      dev: OpenMathDevice := OMopenString(sp pretend String, OMencodingXML)
      if wholeObj then
         OMputObject(dev)
      writeOMFloat(dev, x)
      if wholeObj then
         OMputEndObject(dev)
      OMclose(dev)
      s := OM_-STRINGPTRTOSTRING(sp)$Lisp pretend String
      s

   OMwrite(dev: OpenMathDevice, x: %): Void ==
      OMputObject(dev)
      writeOMFloat(dev, x)
      OMputEndObject(dev)

   OMwrite(dev: OpenMathDevice, x: %, wholeObj: Boolean): Void ==
      if wholeObj then
         OMputObject(dev)
      writeOMFloat(dev, x)
      if wholeObj then
         OMputEndObject(dev)

   shift2(x,y) == sign(x)*shift(sign(x)*x,y)

   asin x ==
      zero? x => 0
      negative? x => -asin(-x)
--      one? x => pi()/2
      (x = 1) => pi()/2
      x > 1 => error "asin: argument > 1 in magnitude"
      inc 5; r := atan(x/sqrt(sub(1,times(x,x)))); dec 5
      normalize r

   acos x ==
      zero? x => pi()/2
      negative? x => (inc 3; r := pi()-acos(-x); dec 3; normalize r)
--      one? x => 0
      (x = 1) => 0
      x > 1 => error "acos: argument > 1 in magnitude"
      inc 5; r := atan(sqrt(sub(1,times(x,x)))/x); dec 5
      normalize r

   atan(x,y) ==
      x = 0 =>
         y > 0 => pi()/2
         y < 0 => -pi()/2
         0
      -- Only count on first quadrant being on principal branch.
      theta := atan abs(y/x)
      if x < 0 then theta := pi() - theta
      if y < 0 then theta := - theta
      theta

   atan x ==
      zero? x => 0
      negative? x => -atan(-x)
      if x > 1 then
         inc 4
         r := if zero? fractionPart x and x < [bits(),0] then atanInverse wholePart x
                 else atan(1/x)
         r := pi/2 - r
         dec 4
         return normalize r
      -- make |x| < O( 2^(-sqrt p) ) < 1/2 to speed series convergence
      -- by using the formula  atan(x) = 2*atan(x/(1+sqrt(1+x^2)))
      k := ISQRT (bits()-100)::I quo 5
      k := max(0,2 + k + order x)
      inc(2*k)
      for i in 1..k repeat x := x/(1+sqrt(1+x*x))
      t := atanSeries x
      dec(2*k)
      t := shift(t,k)
      normalize t

   atanSeries x ==
      -- atan(x) = x (1 - x^2/3 + x^4/5 - x^6/7 + ...)  |x| < 1
      p := bits() + LENGTH bits() + 2
      s:I := d:I := shift(1,p)
      y := times(x,x)
      t := m := - shift2(y.mantissa,y.exponent+p)
      for i in 3.. by 2 while t ~= 0 repeat
         s := s + t quo i
         t := (m * t) quo d
      x * [s,-p]

   atanInverse n ==
      -- compute atan(1/n) for an integer n > 1
      -- atan n = 1/n - 1/n^3/3 + 1/n^5/4 - ...
      --   pi = 16 atan(1/5) - 4 atan(1/239)
      n2 := -n*n
      e:I := bits() + LENGTH bits() + LENGTH n + 1
      s:I := shift(1,e) quo n
      t:I := s quo n2
      for k in 3.. by 2 while t ~= 0 repeat
         s := s + t quo k
         t := t quo n2
      normalize [s,-e]

   sin x ==
      s := sign x; x := abs x; p := bits(); inc 4
      if x > [6,0] then (inc p; x := 2*pi*fractionPart(x/pi/2); bits p)
      if x > [3,0] then (inc p; s := -s; x := x - pi; bits p)
      if x > [3,-1] then (inc p; x := pi - x; dec p)
      -- make |x| < O( 2^(-sqrt p) ) < 1/2 to speed series convergence
      -- by using the formula  sin(3*x/3) = 3 sin(x/3) - 4 sin(x/3)^3
      -- the running time is O( sqrt p M(p) ) assuming |x| < 1
      k := ISQRT (bits()-100)::I quo 4
      k := max(0,2 + k + order x)
      if k > 0 then (inc k; x := x / 3^k::N)
      r := sinSeries x
      for i in 1..k repeat r := itimes(3,r)-shift(r^3,2)
      bits p
      s * r

   sinSeries x ==
      -- sin(x) = x (1 - x^2/3! + x^4/5! - x^6/7! + ... |x| < 1/2
      p := bits() + LENGTH bits() + 2
      y := times(x,x)
      s:I := d:I := shift(1,p)
      m:I := - shift2(y.mantissa,y.exponent+p)
      t:I := m quo 6
      for i in 4.. by 2 while t ~= 0 repeat
         s := s + t
         t := (m * t) quo (i*(i+1))
         t := t quo d
      x * [s,-p]

   cos x ==
     s:I := 1; x := abs x; p := bits(); inc 4
     if x > [6,0] then (inc p; x := 2*pi*fractionPart(x/pi/2); dec p)
     if x > [3,0] then (inc p; s := -s; x := x-pi; dec p)
     if x > [1,0] then
         -- take care of the accuracy problem near pi/2
         inc p; x := pi/2-x; bits p; x := normalize x
         return (s * sin x)
      -- make |x| < O( 2^(-sqrt p) ) < 1/2 to speed series convergence
      -- by using the formula  cos(2*x/2) = 2 cos(x/2)^2 - 1
      -- the running time is O( sqrt p M(p) ) assuming |x| < 1
     k := ISQRT (bits()-100)::I quo 3
     k := max(0,2 + k + order x)
      -- need to increase precision by more than k, otherwise recursion
      -- causes loss of accuracy.
      -- Michael Monagan suggests adding a factor of log(k)
     if k > 0 then (inc(k+length(k)^2); x := shift(x,-k))
     r := cosSeries x
     for i in 1..k repeat r := shift(r*r,1)-1
     bits p
     s * r



   cosSeries x ==
      -- cos(x) = 1 - x^2/2! + x^4/4! - x^6/6! + ... |x| < 1/2
      p := bits() + LENGTH bits() + 1
      y := times(x,x)
      s:I := d:I := shift(1,p)
      m:I := - shift2(y.mantissa,y.exponent+p)
      t:I := m quo 2
      for i in 3.. by 2 while t ~= 0 repeat
         s := s + t
         t := (m * t) quo (i*(i+1))
         t := t quo d
      normalize [s,-p]

   tan x ==
      s := sign x; x := abs x; p := bits(); inc 6
      if x > [3,0] then (inc p; x := pi()*fractionPart(x/pi()); dec p)
      if x > [3,-1] then (inc p; x := pi()-x; s := -s; dec p)
      if x > 1 then (c := cos x; t := sqrt(1-c*c)/c)
      else (c := sin x; t := c/sqrt(1-c*c))
      bits p
      s * t

   P:StoredConstant := [1,[1,2]]
   pi() ==
      -- We use Ramanujan's identity to compute pi.
      -- The running time is quadratic in the precision.
      -- This is about twice as fast as Machin's identity on Lisp/VM
      --   pi = 16 atan(1/5) - 4 atan(1/239)
      bits() <= P.precision => normalize P.value
      (P := [bits(), piRamanujan()]) value

   piRamanujan() ==
      -- Ramanujans identity for 1/pi
      -- Reference: Shanks and Wrench, Math Comp, 1962
      -- "Calculation of pi to 100,000 Decimals".
      n := bits() + LENGTH bits() + 11
      t:I := shift(1,n) quo 882
      d:I := 4*882^2
      s:I := 0
      for i in 2.. by 2 for j in 1123.. by 21460 while t ~= 0 repeat
         s := s + j*t
         m := -(i-1)*(2*i-1)*(2*i-3)
         t := (m*t) quo (d*i^3)
      1 / [s,-n-2]

   sinh x ==
      zero? x => 0
      lost:I := max(- order x,0)
      2*lost > bits() => x
      inc(5+lost); e := exp x; s := (e-1/e)/2; dec(5+lost)
      normalize s

   cosh x ==
      (inc 5; e := exp x; c := (e+1/e)/2; dec 5; normalize c)

   tanh x ==
      zero? x => 0
      lost:I := max(- order x,0)
      2*lost > bits() => x
      inc(6+lost); e := exp x; e := e*e; t := (e-1)/(e+1); dec(6+lost)
      normalize t

   asinh x ==
      p := min(0,order x)
      if zero? x or 2*p < -bits() then return x
      inc(5-p); r := log(x+sqrt(1+x*x)); dec(5-p)
      normalize r

   acosh x ==
      if x < 1 then error "invalid argument to acosh"
      inc 5; r := log(x+sqrt(sub(times(x,x),1))); dec 5
      normalize r

   atanh x ==
      if x > 1 or x < -1 then error "invalid argument to atanh"
      p := min(0,order x)
      if zero? x or 2*p < -bits() then return x
      inc(5-p); r := log((x+1)/(1-x))/2; dec(5-p)
      normalize r

   log x ==
      negative? x => error "negative log"
      zero? x => error "log 0 generated"
      p := bits(); inc 5
      -- apply  log(x) = n log 2 + log(x/2^n)  so that  1/2 < x < 2
      if (n := order x) < 0 then n := n+1
      l := if n = 0 then 0 else (x := shift(x,-n); n * log2)
      -- speed the series convergence by finding m and k such that
      -- | exp(m/2^k) x - 1 |  <  1 / 2 ^ O(sqrt p)
      -- write  log(exp(m/2^k) x) as m/2^k + log x
      k := ISQRT (p-100)::I quo 3
      if k > 1 then
         k := max(1,k+order(x-1))
         inc k
         ek := expInverse (2^k::N)
         dec(p quo 2); m := order square(x,k); inc(p quo 2)
         m := (6847196937 * m) quo 9878417065   -- m := m log 2
         x := x * ek ^ (-m)
         l := l + [m,-k]
      l := l + logSeries x
      bits p
      normalize l

   logSeries x ==
      -- log(x) = 2 y (1 + y^2/3 + y^4/5 ...)  for  y = (x-1) / (x+1)
      -- given 1/2 < x < 2 on input we have -1/3 < y < 1/3
      p := bits() + (g := LENGTH bits() + 3)
      inc g; y := (x-1)/(x+1); dec g
      s:I := d:I := shift(1,p)
      z := times(y,y)
      t := m := shift2(z.mantissa,z.exponent+p)
      for i in 3.. by 2 while t ~= 0 repeat
         s := s + t quo i
         t := m * t quo d
      y * [s,1-p]

   L2:StoredConstant := [1,1]
   log2() ==
      --  log x  =  2 * sum( ((x-1)/(x+1))^(2*k+1)/(2*k+1), k=1.. )
      --  log 2  =  2 * sum( 1/9^k / (2*k+1), k=0..n ) / 3
      n := bits() :: N
      n <= L2.precision => normalize L2.value
      n := n + LENGTH n + 3  -- guard bits
      s:I := shift(1,n+1) quo 3
      t:I := s quo 9
      for k in 3.. by 2 while t ~= 0 repeat
         s := s + t quo k
         t := t quo 9
      L2 := [bits(),[s,-n]]
      normalize L2.value

   L10:StoredConstant := [1,[1,1]]
   log10() ==
      --  log x  =  2 * sum( ((x-1)/(x+1))^(2*k+1)/(2*k+1), k=0.. )
      --  log 5/4  =  2 * sum( 1/81^k / (2*k+1), k=0.. ) / 9
      n := bits() :: N
      n <= L10.precision => normalize L10.value
      n := n + LENGTH n + 5  -- guard bits
      s:I := shift(1,n+1) quo 9
      t:I := s quo 81
      for k in 3.. by 2 while t ~= 0 repeat
         s := s + t quo k
         t := t quo 81
      -- We have log 10 = log 5 + log 2 and log 5/4 = log 5 - 2 log 2
      inc 2; L10 := [bits(),[s,-n] + 3*log2]; dec 2
      normalize L10.value

   log2(x) == (inc 2; r := log(x)/log2; dec 2; normalize r)
   log10(x) == (inc 2; r := log(x)/log10; dec 2; normalize r)

   exp(x) ==
      -- exp(n+x) = exp(1)^n exp(x) for n such that |x| < 1
      p := bits(); inc 5; e1:% := 1
      if (n := wholePart x) ~= 0 then
         inc LENGTH n; e1 := exp1 ^ n; dec LENGTH n
         x := fractionPart x
      if zero? x then (bits p; return normalize e1)
      -- make |x| < O( 2^(-sqrt p) ) < 1/2 to speed series convergence
      -- by repeated use of the formula exp(2*x/2) = exp(x/2)^2
      -- results in an overall running time of O( sqrt p M(p) )
      k := ISQRT (p-100)::I quo 3
      k := max(0,2 + k + order x)
      if k > 0 then (inc k; x := shift(x,-k))
      e := expSeries x
      if k > 0 then e := square(e,k)
      bits p
      e * e1

   expSeries x ==
      -- exp(x) = 1 + x + x^2/2 + ... + x^i/i!  valid for all x
      p := bits() + LENGTH bits() + 1
      s:I := d:I := shift(1,p)
      t:I := n:I := shift2(x.mantissa,x.exponent+p)
      for i in 2.. while t ~= 0 repeat
         s := s + t
         t := (n * t) quo i
         t := t quo d
      normalize [s,-p]


   Ress ==> Record(highn : I, matr : Matrix(I))

   mat0(n0 : I, bl : I, ki : I) : Ress ==
        m11 : I := 1; m12 : I := 0;
        m21 : I := 0; m22 : I := 1;
        i : I := n0
        while length(m11) < bl repeat
            (m11, m12, m21, m22) := (m21, m22, m11 + i*m21, m12 + i*m22)
            i := i + ki
        [i, matrix [[m11, m12], [m21, m22]]]

   mat1(n0 : I, bl : I, ki : I) : Ress ==
        bl <= 300 => mat0(n0, bl, ki)
        bl1 := bl quo 2
        r1 :=  mat1(n0, bl1, ki)
        m1 := r1.matr
        bl1 := bl - length(m1(1,1))
        r2 := mat1(r1.highn, bl1, ki)
        [r2.highn, r2.matr*m1]

   expInverse k ==
        -- computes exp(1/k) via continued fraction
        p1 : I := 2*k + 1; p0 : I := 1
        q1 : I := 2*k - 1; q0 : I := 1
        k0 : I := 6*k
        ki : I := 4*k
        l := (bits() + 1) quo 2
        mm0 := matrix([[p0, q0], [p1, q1]])$Matrix(I)
        mm0 := mat1(k0, l, ki).matr*mm0
        p1 := mm0(2,1)
        q1 := mm0(2,2)
        dvide([p1, 0], [q1, 0])

   E:StoredConstant := [1,[1,1]]
   exp1() ==
      if bits() > E.precision then E := [bits(),expInverse 1]
      normalize E.value

   sqrt x ==
      negative? x => error "negative sqrt"
      m := x.mantissa; e := x.exponent
      l := LENGTH m
      p := 2 * bits() - l + 2
      if odd?(e-l) then p := p - 1
      i := shift2(x.mantissa,p)
      -- ISQRT uses a variable precision newton iteration
      i := ISQRT i
      normalize [i,(e-p) quo 2]

   bits() == BITS()
   bits(n) == (t := bits(); BITS() := n; t)
   precision() == bits()
   precision(n) == bits(n)
   increasePrecision n == (b := bits(); bits((b + n)::PI); b)
   decreasePrecision n == (b := bits(); bits((b - n)::PI); b)
   ceillog10base2 n == ((13301 * n + 4003) quo 4004) :: PI
   digits() == max(1,4004 * (bits()-1) quo 13301)::PI
   digits(n) == (t := digits(); bits (1 + ceillog10base2 n); t)

   order(a) == LENGTH a.mantissa + a.exponent - 1
   relerror(a,b) == order((a-b)/b)
   0 == [0,0]
   1 == [1,0]
   base() == BASE
   mantissa x == x.mantissa
   exponent x == x.exponent
   one? a == a = 1
   zero? a == zero?(a.mantissa)
   negative? a == negative?(a.mantissa)
   positive? a == positive?(a.mantissa)

   chop(x,p) ==
      e : I := LENGTH x.mantissa - p
      if e > 0 then x := [shift2(x.mantissa,-e),x.exponent+e]
      x
   float(m,e) == normalize [m,e]
   float(m,e,b) ==
      m = 0 => 0
      inc 4; r := m * [b,0] ^ e; dec 4
      normalize r
   normalize x ==
      m := x.mantissa
      m = 0 => 0
      e : I := LENGTH m - bits()
      if e > 0 then
         y := shift2(m,1-e)
         if odd? y then
            y := (if y>0 then y+1 else y-1) quo 2
            if LENGTH y > bits() then
               y := y quo 2
               e := e+1
         else y := y quo 2
         x := [y,x.exponent+e]
      x
   shift(x:%,n:I) == [x.mantissa,x.exponent+n]

   x = y ==
      x.exponent = y.exponent =>
          x.mantissa = y.mantissa
      order x = order y and sign x = sign y and zero? (x - y)
   x < y ==
      y.mantissa = 0 => x.mantissa < 0
      x.mantissa = 0 => y.mantissa > 0
      negative? x and positive? y => true
      negative? y and positive? x => false
      order x < order y => positive? x
      order x > order y => negative? x
      negative? (x-y)

   abs x == if negative? x then -x else normalize x
   ceiling x ==
      if negative? x then return (-floor(-x))
      if zero? fractionPart x then x else truncate x + 1
   wholePart x == shift2(x.mantissa,x.exponent)
   floor x == if negative? x then -ceiling(-x) else truncate x
   round x == (half := [sign x,-1]; truncate(x + half))
   sign x == if x.mantissa < 0 then -1 else 1
   truncate x ==
      if x.exponent >= 0 then return x
      normalize [shift2(x.mantissa,x.exponent),0]
   recip(x) == if x=0 then "failed" else 1/x
   differentiate x == 0

   - x == normalize negate x
   negate x == [-x.mantissa,x.exponent]
   x + y == normalize plus(x,y)
   x - y == normalize plus(x,negate y)
   sub(x,y) == plus(x,negate y)
   plus(x,y) ==
      mx := x.mantissa; my := y.mantissa
      mx = 0 => y
      my = 0 => x
      ex := x.exponent; ey := y.exponent
      ex = ey => [mx+my,ex]
      de := ex + LENGTH mx - ey - LENGTH my
      de > bits()+1 => x
      de < -(bits()+1) => y
      if ex < ey then (mx,my,ex,ey) := (my,mx,ey,ex)
      mw := my + shift2(mx,ex-ey)
      [mw,ey]

   x:% * y:% == normalize times (x,y)
   x:I * y:% ==
      if LENGTH x > bits() then normalize [x,0] * y
      else normalize [x * y.mantissa,y.exponent]
   x:% / y:% == normalize dvide(x,y)
   x:% / y:I ==
      if LENGTH y > bits() then x / normalize [y,0] else x / [y,0]
   inv x == 1 / x

   times(x:%,y:%) == [x.mantissa * y.mantissa, x.exponent + y.exponent]
   itimes(n:I,y:%) == [n * y.mantissa,y.exponent]

   dvide(x,y) ==
      ew := LENGTH y.mantissa - LENGTH x.mantissa + bits() + 1
      mw := shift2(x.mantissa,ew) quo y.mantissa
      ew := x.exponent - y.exponent - ew
      [mw,ew]

   square(x,n) ==
      ma := x.mantissa; ex := x.exponent
      for k in 1..n repeat
         ma := ma * ma; ex := ex + ex
         l:I := bits()::I - LENGTH ma
         ma := shift2(ma,l); ex := ex - l
      [ma,ex]

   power(x,n) ==
      y:% := 1; z:% := x
      repeat
         if odd? n then y := chop( times(y,z), bits() )
         if (n := n quo 2) = 0 then return y
         z := chop( times(z,z), bits() )

   x:% ^ y:% ==
      x = 0 =>
         y = 0 => error "0^0 is undefined"
         y < 0 => error "division by 0"
         y > 0 => 0
      y = 0 => 1
      y = 1 => x
      x = 1 => 1
      p := abs order y + 5
      inc p; r := exp(y*log(x)); dec p
      normalize r

   x:% ^ r:RN ==
      x = 0 =>
         r = 0 => error "0^0 is undefined"
         r < 0 => error "division by 0"
         r > 0 => 0
      r = 0 => 1
      r = 1 => x
      x = 1 => 1
      n := numer r
      d := denom r
      negative? x =>
         odd? d =>
            odd? n => return -((-x)^r)
            return ((-x)^r)
         error "negative root"
      if d = 2 then
         inc LENGTH n; y := sqrt(x); y := y^n; dec LENGTH n
         return normalize y
      y := [n,0]/[d,0]
      x ^ y

   x:% ^ n:I ==
      x = 0 =>
         n = 0 => error "0^0 is undefined"
         n < 0 => error "division by 0"
         n > 0 => 0
      n = 0 => 1
      n = 1 => x
      x = 1 => 1
      p := bits()
      bits(p + LENGTH n + 2)
      y := power(x,abs n)
      if n < 0 then y := dvide(1,y)
      bits p
      normalize y

   -- Utility routines for conversion to decimal
   ceilLength10: I -> I
   chop10: (%,I) -> %
   convert10:(%,I) -> %
   floorLength10: I -> I
   length10: I -> I
   normalize10: (%,I) -> %
   quotient10: (%,%,I) -> %
   power10: (%,I,I) -> %
   times10: (%,%,I) -> %

   convert10(x,d) ==
      m := x.mantissa; e := x.exponent
      --!! deal with bits here
      b := bits(); (q,r) := divide(abs e, b)
      b := 2^b::N; r := 2^r::N
      -- compute 2^e = b^q * r
      h := power10([b,0],q,d+5)
      h := chop10([r*h.mantissa,h.exponent],d+5)
      if e < 0 then h := quotient10([m,0],h,d)
      else times10([m,0],h,d)

   ceilLength10 n == 146 * LENGTH n quo 485 + 1
   floorLength10 n == 643 *  LENGTH n quo 2136
--   length10 n == DECIMAL_-LENGTH(n)$Lisp
   length10 n ==
      ln := LENGTH(n:=abs n)
      upper := 76573 * ln quo 254370
      lower := 21306 * (ln-1) quo 70777
      upper = lower => upper + 1
      n := n quo (10^lower::N)
      while n >= 10 repeat
         n:= n quo 10
         lower := lower + 1
      lower + 1

   chop10(x,p) ==
      e : I := floorLength10 x.mantissa - p
      if e > 0 then x := [x.mantissa quo 10^e::N,x.exponent+e]
      x
   normalize10(x,p) ==
      ma := x.mantissa
      ex := x.exponent
      e : I := length10 ma - p
      if e > 0 then
         ma := ma quo 10^(e-1)::N
         ex := ex + e
         (ma,r) := divide(ma, 10)
         if r > 4 then
            ma := ma + 1
            if ma = 10^p::N then (ma := 1; ex := ex + p)
      [ma,ex]
   times10(x,y,p) == normalize10(times(x,y),p)
   quotient10(x,y,p) ==
      ew := floorLength10 y.mantissa - ceilLength10 x.mantissa + p + 2
      if ew < 0 then ew := 0
      mw := (x.mantissa * 10^ew::N) quo y.mantissa
      ew := x.exponent - y.exponent - ew
      normalize10([mw,ew],p)
   power10(x,n,d) ==
      x = 0 => 0
      n = 0 => 1
      n = 1 => x
      x = 1 => 1
      p:I := d + LENGTH n + 1
      e:I := n
      y:% := 1
      z:% := x
      repeat
         if odd? e then y := chop10(times(y,z),p)
         if (e := e quo 2) = 0 then return y
         z := chop10(times(z,z),p)

   --------------------------------
   -- Output routines for Floats --
   --------------------------------
   zero ==> char("0")
   separator ==> space()$Character

   SPACING : Reference(N) := ref 10
   OUTMODE : Reference(S) := ref "general"
   OUTPREC : Reference(I) := ref(-1)

   fixed : % -> S
   floating : % -> S
   general : % -> S

   padFromLeft(s:S):S ==
      zero? SPACING() => s
      n:I := #s - 1
      t := new( (n + 1 + n quo SPACING()) :: N , separator )
      for i in 0..n for j in minIndex t .. repeat
         t.j := s.(i + minIndex s)
         if (i+1) rem SPACING() = 0 then j := j+1
      t
   padFromRight(s:S):S ==
      SPACING() = 0 => s
      n:I := #s - 1
      t := new( (n + 1 + n quo SPACING()) :: N , separator )
      for i in n..0 by -1 for j in maxIndex t .. by -1 repeat
         t.j := s.(i + minIndex s)
         if (n-i+1) rem SPACING() = 0 then j := j-1
      t

   fixed f ==
      d := if OUTPREC() = -1 then digits::I else OUTPREC()
      zero? f =>
         OUTPREC() = -1 => "0.0"
         concat("0", concat(".", padFromLeft new(d::N, zero)))
      zero? exponent f =>
        concat(padFromRight convert(mantissa f)@S,
               concat(".", padFromLeft new(d::N, zero)))
      negative? f => concat("-", fixed abs f)
      bl := LENGTH(f.mantissa) + f.exponent
      dd :=
          OUTPREC() = -1 => d
          bl > 0 => (146*bl) quo 485 + 1 + d
          d
      g := convert10(abs f, dd)
      m := g.mantissa; e := g.exponent
      if OUTPREC() ~= -1 then
         -- round g to OUTPREC digits after the decimal point
         l := length10 m
         if -e > OUTPREC() and -e < 2*digits::I then
            g := normalize10(g,l+e+OUTPREC())
            m := g.mantissa; e := g.exponent
      s := convert(m)@S; n := #s; o := e+n
      p := if OUTPREC() = -1 then n::I else OUTPREC()
      t:S
      if e >= 0 then
         s := concat(s, new(e::N, zero))
         t := ""
      else if o <= 0 then
         t := concat(new((-o)::N,zero), s)
         s := "0"
      else
         t := s(o + minIndex s .. n + minIndex s - 1)
         s := s(minIndex s .. o + minIndex s - 1)
      n := #t
      if OUTPREC() = -1 then
         t := rightTrim(t,zero)
         if t = "" then t := "0"
      else if n > p then t := t(minIndex t .. p + minIndex t- 1)
                    else t := concat(t, new((p-n)::N,zero))
      concat(padFromRight s, concat(".", padFromLeft t))

   floating f ==
      zero? f => "0.0"
      negative? f => concat("-", floating abs f)
      t:S := if zero? SPACING() then "E" else " E "
      zero? exponent f =>
        s := convert(mantissa f)@S
        concat ["0.", padFromLeft s, t, convert(#s)@S]
      -- base conversion to decimal rounded to the requested precision
      d := if OUTPREC() = -1 then digits::I else OUTPREC()
      g := convert10(f,d); m := g.mantissa; e := g.exponent
      -- I'm assuming that length10 m = # s given n > 0
      s := convert(m)@S; n := #s; o := e+n
      s := padFromLeft s
      concat ["0.", s, t, convert(o)@S]

   general(f) ==
      zero? f => "0.0"
      negative? f => concat("-", general abs f)
      d := if OUTPREC() = -1 then digits::I else OUTPREC()
      zero? exponent f =>
        d := d + 1
        s := convert(mantissa f)@S
        OUTPREC() ~= -1 and (e := #s) > d =>
          t:S := if zero? SPACING() then "E" else " E "
          concat ["0.", padFromLeft s, t, convert(e)@S]
        padFromRight concat(s, ".0")
      -- base conversion to decimal rounded to the requested precision
      g := convert10(f,d); m := g.mantissa; e := g.exponent
      -- I'm assuming that length10 m = # s given n > 0
      s := convert(m)@S; n := #s; o := n + e
      -- Note: at least one digit is displayed after the decimal point
      -- and trailing zeroes after the decimal point are dropped
      if o > 0 and o <= max(n,d) then
         -- fixed format: add trailing zeroes before the decimal point
         if o > n then s := concat(s, new((o-n)::N,zero))
         t := rightTrim(s(o + minIndex s .. n + minIndex s - 1), zero)
         if t = "" then t := "0" else t := padFromLeft t
         s := padFromRight s(minIndex s .. o + minIndex s - 1)
         concat(s, concat(".", t))
      else if o <= 0 and o >= -5 then
         -- fixed format: up to 5 leading zeroes after the decimal point
         concat("0.",padFromLeft concat(new((-o)::N,zero),rightTrim(s,zero)))
      else
         -- print using E format written  0.mantissa E exponent
         t := padFromLeft rightTrim(s,zero)
         s := if zero? SPACING() then "E" else " E "
         concat ["0.", t, s, convert(e+n)@S]

   outputSpacing n == SPACING() := n
   outputFixed() == (OUTMODE() := "fixed"; OUTPREC() := -1)
   outputFixed n == (OUTMODE() := "fixed"; OUTPREC() := n::I)
   outputGeneral() == (OUTMODE() := "general"; OUTPREC() := -1)
   outputGeneral n == (OUTMODE() := "general"; OUTPREC() := n::I)
   outputFloating() == (OUTMODE() := "floating"; OUTPREC() := -1)
   outputFloating n == (OUTMODE() := "floating"; OUTPREC() := n::I)

   convert(f):S ==
      b:Integer :=
        OUTPREC() = -1 and not zero? f =>
          bits(length(abs mantissa f)::PositiveInteger)
        0
      s :=
        OUTMODE() = "fixed" => fixed f
        OUTMODE() = "floating" => floating f
        OUTMODE() = "general" => general f
        empty()$String
      if b > 0 then bits(b::PositiveInteger)
      s = empty()$String => error "bad output mode"
      s

   coerce(f):OutputForm ==
     f >= 0 => message(convert(f)@S)
     - (coerce(-f)@OutputForm)

   convert(f):InputForm ==
     convert [convert('float), convert mantissa f,
              convert exponent f, convert base()]$List(InputForm)

   -- Conversion routines
   convert(x:%):Float == x pretend Float
   convert(x:%):SF == makeSF(x.mantissa,x.exponent)$Lisp
   coerce(x:%):SF == convert(x)@SF
   convert(sf:SF):% == float(mantissa sf,exponent sf,base()$SF)

   retract(f:%):RN == rationalApproximation(f,(bits()-1)::N,BASE)

   retractIfCan(f:%):Union(RN, "failed") ==
     rationalApproximation(f,(bits()-1)::N,BASE)

   retract(f:%):I ==
     (f = (n := wholePart f)::%) => n
     error "Not an integer"

   retractIfCan(f:%):Union(I, "failed") ==
     (f = (n := wholePart f)::%) => n
     "failed"

   rationalApproximation(f,d) == rationalApproximation(f,d,10)

   rationalApproximation(f,d,b) ==
      t: Integer
      nu := f.mantissa; ex := f.exponent
      if ex >= 0 then return ((nu*BASE^(ex::N))/1)
      de := BASE^((-ex)::N)
      if b < 2 then error "base must be > 1"
      tol := b^d
      s := nu; t := de
      p0,p1,q0,q1 : Integer
      p0 := 0; p1 := 1; q0 := 1; q1 := 0
      repeat
         (q,r) := divide(s, t)
         p2 := q*p1+p0
         q2 := q*q1+q0
         if r = 0 or tol*abs(nu*q2-de*p2) < de*abs(p2) then return (p2/q2)
         (p0,p1) := (p1,p2)
         (q0,q1) := (q1,q2)
         (s,t) := (t,r)

@

--% Float: arbitrary precision floating point arithmetic domain

\section{License}
<<license>>=
--Copyright (c) 1991-2002, The Numerical ALgorithms Group Ltd.
--All rights reserved.
--
--Redistribution and use in source and binary forms, with or without
--modification, are permitted provided that the following conditions are
--met:
--
--    - Redistributions of source code must retain the above copyright
--      notice, this list of conditions and the following disclaimer.
--
--    - Redistributions in binary form must reproduce the above copyright
--      notice, this list of conditions and the following disclaimer in
--      the documentation and/or other materials provided with the
--      distribution.
--
--    - Neither the name of The Numerical ALgorithms Group Ltd. nor the
--      names of its contributors may be used to endorse or promote products
--      derived from this software without specific prior written permission.
--
--THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
--IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
--TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
--PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
--OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
--EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
--PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
--PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
--LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
--NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
--SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
@
<<*>>=
<<license>>

<<domain FLOAT Float>>
@
\eject
\begin{thebibliography}{99}
\bibitem{1} nothing
\end{thebibliography}
\end{document}
