Provided by: tcllib_1.17-dfsg-1_all bug

NAME

       math::calculus::romberg - Romberg integration

SYNOPSIS

       package require Tcl  8.2

       package require math::calculus  0.6

       ::math::calculus::romberg f a b ?-option value...?

       ::math::calculus::romberg_infinity f a b ?-option value...?

       ::math::calculus::romberg_sqrtSingLower f a b ?-option value...?

       ::math::calculus::romberg_sqrtSingUpper f a b ?-option value...?

       ::math::calculus::romberg_powerLawLower gamma f a b ?-option value...?

       ::math::calculus::romberg_powerLawUpper gamma f a b ?-option value...?

       ::math::calculus::romberg_expLower f a b ?-option value...?

       ::math::calculus::romberg_expUpper f a b ?-option value...?

_________________________________________________________________________________________________

DESCRIPTION

       The  romberg  procedures  in the math::calculus package perform numerical integration of a
       function of one variable.  They are intended to be of "production quality"  in  that  they
       are  robust,  precise,  and  reasonably  efficient  in  terms  of  the  number of function
       evaluations.

PROCEDURES

       The following procedures are available for Romberg integration:

       ::math::calculus::romberg f a b ?-option value...?
              Integrates an analytic function over a given interval.

       ::math::calculus::romberg_infinity f a b ?-option value...?
              Integrates an analytic function over a half-infinite interval.

       ::math::calculus::romberg_sqrtSingLower f a b ?-option value...?
              Integrates a function that is expected to be analytic over an interval  except  for
              the presence of an inverse square root singularity at the lower limit.

       ::math::calculus::romberg_sqrtSingUpper f a b ?-option value...?
              Integrates  a  function that is expected to be analytic over an interval except for
              the presence of an inverse square root singularity at the upper limit.

       ::math::calculus::romberg_powerLawLower gamma f a b ?-option value...?
              Integrates a function that is expected to be analytic over an interval  except  for
              the presence of a power law singularity at the lower limit.

       ::math::calculus::romberg_powerLawUpper gamma f a b ?-option value...?
              Integrates  a  function that is expected to be analytic over an interval except for
              the presence of a power law singularity at the upper limit.

       ::math::calculus::romberg_expLower f a b ?-option value...?
              Integrates an exponentially growing function; the lower  limit  of  the  region  of
              integration may be arbitrarily large and negative.

       ::math::calculus::romberg_expUpper f a b ?-option value...?
              Integrates  an  exponentially  decaying  function; the upper limit of the region of
              integration may be arbitrarily large.

PARAMETERS

       f      Function to integrate.  Must be expressed as a single Tcl command, to which will be
              appended  a single argument, specifically, the abscissa at which the function is to
              be evaluated. The first word of the command will be processed with namespace  which
              in  the  caller's scope prior to any evaluation. Given this processing, the command
              may local to the calling namespace rather than needing to be global.

       a      Lower limit of the region of integration.

       b      Upper  limit  of  the  region  of  integration.   For  the   romberg_sqrtSingLower,
              romberg_sqrtSingUpper,         romberg_powerLawLower,        romberg_powerLawUpper,
              romberg_expLower, and romberg_expUpper procedures, the lower limit must be strictly
              less  than  the  upper.   For the other procedures, the limits may appear in either
              order.

       gamma  Power to use for a power  law  singularity;  see  section  IMPROPER  INTEGRALS  for
              details.

OPTIONS

       -abserror epsilon
              Requests  that  the  integration  machinery  proceed  at  most  until the estimated
              absolute error of the integral is less than epsilon. The  error  may  be  seriously
              over-  or  underestimated  if  the  function  (or  any of its derivatives) contains
              singularities; see section IMPROPER INTEGRALS for details. Default is 1.0e-08.

       -relerror epsilon
              Requests that the  integration  machinery  proceed  at  most  until  the  estimated
              relative  error  of  the  integral is less than epsilon. The error may be seriously
              over- or underestimated if the  function  (or  any  of  its  derivatives)  contains
              singularities; see section IMPROPER INTEGRALS for details.  Default is 1.0e-06.

       -maxiter m
              Requests  that  integration  terminate  after  at most n triplings of the number of
              evaluations performed.  In other words,  given  n  for  -maxiter,  the  integration
              machinery  will  make  at  most  3**n  evaluations of the function.  Default is 14,
              corresponding to a  limit  approximately  4.8  million  evaluations.  (Well-behaved
              functions will seldom require more than a few hundred evaluations.)

       -degree d
              Requests  that  an  extrapolating  polynomial  of  degree  d  be  used  in  Romberg
              integration; see section DESCRIPTION for details. Default is 4.   Can  be  at  most
              m-1.

DESCRIPTION

       The  romberg  procedure  performs  Romberg  integration  using the modified midpoint rule.
       Romberg integration is an iterative process.  At the first step, the function is evaluated
       at  the midpoint of the region of integration, and the value is multiplied by the width of
       the interval for the coarsest possible estimate.  At the  second  step,  the  interval  is
       divided  into three parts, and the function is evaluated at the midpoint of each part; the
       sum of the values is multiplied by three.  At the third step, nine parts are used, at  the
       fourth twenty-seven, and so on, tripling the number of subdivisions at each step.

       Once  the  interval  has  been  divided  at  least  d times, a polynomial is fitted to the
       integrals estimated in the last d+1 divisions.  The  integrals  are  considered  to  be  a
       function  of the square of the width of the subintervals (any good numerical analysis text
       will discuss this process under "Romberg integration").  The polynomial is extrapolated to
       a step size of zero, computing a value for the integral and an estimate of the error.

       This  process  will  be  well-behaved  only if the function is analytic over the region of
       integration; there may be removable singularities at either end  of  the  region  provided
       that  the  limit  of  the  function  (and  of  all its derivatives) exists as the ends are
       approached.  Thus, romberg may be used to integrate a function like f(x)=sin(x)/x over  an
       interval beginning or ending at zero.

       Note that romberg will either fail to converge or else return incorrect error estimates if
       the function, or any of its derivatives, has a  singularity  anywhere  in  the  region  of
       integration  (except  for  the  case  mentioned  above).  Care must be used, therefore, in
       integrating a function like 1/(1-x**2)  to  avoid  the  places  where  the  derivative  is
       singular.

IMPROPER INTEGRALS

       Romberg  integration is also useful for integrating functions over half-infinite intervals
       or functions that have singularities.  The trick is  to  make  a  change  of  variable  to
       eliminate  the  singularity,  and  to  put  the singularity at one end or the other of the
       region of integration.  The math::calculus package supplies a number of romberg procedures
       to deal with the commoner cases.

       romberg_infinity
              Integrates a function over a half-infinite interval; either a or b may be infinite.
              a and b must be of the same sign; if you need to integrate across  the  axis,  say,
              from  a  negative  value  to  positive  infinity, use romberg to integrate from the
              negative value to a small positive value, and then  romberg_infinity  to  integrate
              from the positive value to positive infinity.  The romberg_infinity procedure works
              by making the change of variable u=1/x, so that the integral from a to b of f(x) is
              evaluated as the integral from 1/a to 1/b of f(1/u)/u**2.

       romberg_powerLawLower and romberg_powerLawUpper
              Integrate  a  function  that  has an integrable power law singularity at either the
              lower or upper bound of the region of integration (or has a derivative with a power
              law  singularity  there).   These  procedures  take a first parameter, gamma, which
              gives the power law.  The function or its first derivative are presumed to  diverge
              as  (x-a)**(-gamma)  or  (b-x)**(-gamma).  gamma must be greater than zero and less
              than 1.

              These procedures are useful not only in integrating functions that go  to  infinity
              at  one  end  of the region of integration, but also functions whose derivatives do
              not exist at the end of the region.   For  instance,  integrating  f(x)=pow(x,0.25)
              with  the  origin  as  one  end  of the region will result in the romberg procedure
              greatly underestimating the error in the integral.  The problem  can  be  fixed  by
              observing that the first derivative of f(x), f'(x)=x**(-3/4)/4, goes to infinity at
              the origin.  Integrating using romberg_powerLawLower with gamma set to  0.75  gives
              much more orderly convergence.

              These  procedures  operate  by  making  the  change  of variable u=(x-a)**(1-gamma)
              (romberg_powerLawLower) or u=(b-x)**(1-gamma) (romberg_powerLawUpper).

              To summarize the meaning of gamma:

              •      If f(x) ~ x**(-a) (0 < a < 1), use gamma = a

              •      If f'(x) ~ x**(-b) (0 < b < 1), use gamma = b

       romberg_sqrtSingLower and romberg_sqrtSingUpper
              These    procedures    behave    identically    to    romberg_powerLawLower     and
              romberg_powerLawUpper  for  the common case of gamma=0.5; that is, they integrate a
              function with an inverse square root singularity at one end of the interval.   They
              have a simpler implementation involving square roots rather than arbitrary powers.

       romberg_expLower and romberg_expUpper
              These   procedures   are  for  integrating  a  function  that  grows  or  decreases
              exponentially   over   a   half-infinite   interval.    romberg_expLower    handles
              exponentially growing functions, and allows the lower limit of integration to be an
              arbitrarily large negative number.  romberg_expUpper handles exponentially decaying
              functions  and  allows  the  upper  limit  of  integration to be an arbitrary large
              positive number.  The functions make the change of variable u=exp(-x) and  u=exp(x)
              respectively.

OTHER CHANGES OF VARIABLE

       If you need an improper integral other than the ones listed here, a change of variable can
       be written in very few lines of Tcl.  Because the Tcl coding  that  does  it  is  somewhat
       arcane, we offer a worked example here.

       Let's  say  that  the function that we want to integrate is f(x)=exp(x)/sqrt(1-x*x) (not a
       very natural function, but a good example), and we want to integrate it over the  interval
       (-1,1).   The  denominator  falls  to zero at both ends of the interval. We wish to make a
       change of variable from x to u so that dx/sqrt(1-x**2) maps to du.  Choosing x=sin(u),  we
       can  find that dx=cos(u)*du, and sqrt(1-x**2)=cos(u).  The integral from a to b of f(x) is
       the integral from asin(a) to asin(b) of f(sin(u))*cos(u).

       We can make a function g that accepts an arbitrary function f and  the  parameter  u,  and
       computes this new integrand.

              proc g { f u } {
                  set x [expr { sin($u) }]
                  set cmd $f; lappend cmd $x; set y [eval $cmd]
                  return [expr { $y / cos($u) }]
              }

       Now  integrating f from a to b is the same as integrating g from asin(a) to asin(b).  It's
       a little tricky to get f consistently evaluated  in  the  caller's  scope;  the  following
       procedure does it.

              proc romberg_sine { f a b args } {
                  set f [lreplace $f 0 0 [uplevel 1 [list namespace which [lindex $f 0]]]]
                  set f [list g $f]
                  return [eval [linsert $args 0 romberg $f [expr { asin($a) }] [expr { asin($b) }]]]
              }

       This  romberg_sine procedure will do any function with sqrt(1-x*x) in the denominator. Our
       sample function is f(x)=exp(x)/sqrt(1-x*x):

              proc f { x } {
                  expr { exp($x) / sqrt( 1. - $x*$x ) }
              }

       Integrating it is a matter of applying romberg_sine as we would any of the  other  romberg
       procedures:

              foreach { value error } [romberg_sine f -1.0 1.0] break
              puts [format "integral is %.6g +/- %.6g" $value $error]

              integral is 3.97746 +/- 2.3557e-010

BUGS, IDEAS, FEEDBACK

       This  document,  and  the  package  it  describes, will undoubtedly contain bugs and other
       problems.  Please report such in the category math ::  calculus  of  the  Tcllib  Trackers
       [http://core.tcl.tk/tcllib/reportlist].  Please also report any ideas for enhancements you
       may have for either package and/or documentation.

SEE ALSO

       math::calculus, math::interpolate

CATEGORY

       Mathematics

COPYRIGHT

       Copyright (c) 2004 Kevin B. Kenny <kennykb@acm.org>. All rights reserved. Redistribution permitted under the terms of the Open Publication License <http://www.opencontent.org/openpub/>