plucky (3) romberg.3tcl.gz

Provided by: tcllib_2.0+dfsg-2_all bug

NAME

       math::calculus::romberg - Romberg integration

SYNOPSIS

       package require Tcl 8.5 9

       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.

       When proposing code changes, please provide unified diffs, i.e the output of diff -u.

       Note further that attachments are strongly preferred over inlined patches. Attachments  can  be  made  by
       going  to the Edit form of the ticket immediately after its creation, and then using the left-most button
       in the secondary navigation bar.

SEE ALSO

       math::calculus, math::interpolate

CATEGORY

       Mathematics

       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/>