'\"
'\" Generated from file 'calculus\&.man' by tcllib/doctools with format 'nroff'
'\" Copyright (c) 2002,2003,2004 Arjen Markus
'\"
.TH "math::calculus" n 0\&.8\&.2 tcllib "Tcl Math Library"
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.BS
.SH NAME
math::calculus \- Integration and ordinary differential equations
.SH SYNOPSIS
package require \fBTcl  8\&.4\fR
.sp
package require \fBmath::calculus  0\&.8\&.2\fR
.sp
\fB::math::calculus::integral\fR \fIbegin\fR \fIend\fR \fInosteps\fR \fIfunc\fR
.sp
\fB::math::calculus::integralExpr\fR \fIbegin\fR \fIend\fR \fInosteps\fR \fIexpression\fR
.sp
\fB::math::calculus::integral2D\fR \fIxinterval\fR \fIyinterval\fR \fIfunc\fR
.sp
\fB::math::calculus::integral2D_accurate\fR \fIxinterval\fR \fIyinterval\fR \fIfunc\fR
.sp
\fB::math::calculus::integral3D\fR \fIxinterval\fR \fIyinterval\fR \fIzinterval\fR \fIfunc\fR
.sp
\fB::math::calculus::integral3D_accurate\fR \fIxinterval\fR \fIyinterval\fR \fIzinterval\fR \fIfunc\fR
.sp
\fB::math::calculus::qk15\fR \fIxstart\fR \fIxend\fR \fIfunc\fR \fInosteps\fR
.sp
\fB::math::calculus::qk15_detailed\fR \fIxstart\fR \fIxend\fR \fIfunc\fR \fInosteps\fR
.sp
\fB::math::calculus::eulerStep\fR \fIt\fR \fItstep\fR \fIxvec\fR \fIfunc\fR
.sp
\fB::math::calculus::heunStep\fR \fIt\fR \fItstep\fR \fIxvec\fR \fIfunc\fR
.sp
\fB::math::calculus::rungeKuttaStep\fR \fIt\fR \fItstep\fR \fIxvec\fR \fIfunc\fR
.sp
\fB::math::calculus::boundaryValueSecondOrder\fR \fIcoeff_func\fR \fIforce_func\fR \fIleftbnd\fR \fIrightbnd\fR \fInostep\fR
.sp
\fB::math::calculus::solveTriDiagonal\fR \fIacoeff\fR \fIbcoeff\fR \fIccoeff\fR \fIdvalue\fR
.sp
\fB::math::calculus::newtonRaphson\fR \fIfunc\fR \fIderiv\fR \fIinitval\fR
.sp
\fB::math::calculus::newtonRaphsonParameters\fR \fImaxiter\fR \fItolerance\fR
.sp
\fB::math::calculus::regula_falsi\fR \fIf\fR \fIxb\fR \fIxe\fR \fIeps\fR
.sp
.BE
.SH DESCRIPTION
.PP
This package implements several simple mathematical algorithms:
.IP \(bu
The integration of a function over an interval
.IP \(bu
The numerical integration of a system of ordinary differential
equations\&.
.IP \(bu
Estimating the root(s) of an equation of one variable\&.
.PP
.PP
The package is fully implemented in Tcl\&. No particular attention has
been paid to the accuracy of the calculations\&. Instead, well-known
algorithms have been used in a straightforward manner\&.
.PP
This document describes the procedures and explains their usage\&.
.SH PROCEDURES
This package defines the following public procedures:
.TP
\fB::math::calculus::integral\fR \fIbegin\fR \fIend\fR \fInosteps\fR \fIfunc\fR
Determine the integral of the given function using the Simpson
rule\&. The interval for the integration is [\fIbegin\fR, \fIend\fR]\&.
The remaining arguments are:
.RS
.TP
\fInosteps\fR
Number of steps in which the interval is divided\&.
.TP
\fIfunc\fR
Function to be integrated\&. It should take one single argument\&.
.RE
.sp
.TP
\fB::math::calculus::integralExpr\fR \fIbegin\fR \fIend\fR \fInosteps\fR \fIexpression\fR
Similar to the previous proc, this one determines the integral of
the given \fIexpression\fR using the Simpson rule\&.
The interval for the integration is [\fIbegin\fR, \fIend\fR]\&.
The remaining arguments are:
.RS
.TP
\fInosteps\fR
Number of steps in which the interval is divided\&.
.TP
\fIexpression\fR
Expression to be integrated\&. It should
use the variable "x" as the only variable (the "integrate")
.RE
.sp
.TP
\fB::math::calculus::integral2D\fR \fIxinterval\fR \fIyinterval\fR \fIfunc\fR
.TP
\fB::math::calculus::integral2D_accurate\fR \fIxinterval\fR \fIyinterval\fR \fIfunc\fR
The commands \fBintegral2D\fR and \fBintegral2D_accurate\fR calculate the
integral of a function of two variables over the rectangle given by the
first two arguments, each a list of three items, the start and
stop interval for the variable and the number of steps\&.
.sp
The command \fBintegral2D\fR evaluates the function at the centre of
each rectangle, whereas the command \fBintegral2D_accurate\fR uses a
four-point quadrature formula\&. This results in an exact integration of
polynomials of third degree or less\&.
.sp
The function must take two arguments and return the function
value\&.
.TP
\fB::math::calculus::integral3D\fR \fIxinterval\fR \fIyinterval\fR \fIzinterval\fR \fIfunc\fR
.TP
\fB::math::calculus::integral3D_accurate\fR \fIxinterval\fR \fIyinterval\fR \fIzinterval\fR \fIfunc\fR
The commands \fBintegral3D\fR and \fBintegral3D_accurate\fR are the
three-dimensional equivalent of \fBintegral2D\fR and \fBintegral3D_accurate\fR\&.
The function \fIfunc\fR takes three arguments and is integrated over the block in
3D space given by three intervals\&.
.TP
\fB::math::calculus::qk15\fR \fIxstart\fR \fIxend\fR \fIfunc\fR \fInosteps\fR
Determine the integral of the given function using the Gauss-Kronrod 15 points quadrature rule\&.
The returned value is the estimate of the integral over the interval [\fIxstart\fR, \fIxend\fR]\&.
The remaining arguments are:
.RS
.TP
\fIfunc\fR
Function to be integrated\&. It should take one single argument\&.
.TP
?nosteps?
Number of steps in which the interval is divided\&. Defaults to 1\&.
.RE
.sp
.TP
\fB::math::calculus::qk15_detailed\fR \fIxstart\fR \fIxend\fR \fIfunc\fR \fInosteps\fR
Determine the integral of the given function using the Gauss-Kronrod 15 points quadrature rule\&.
The interval for the integration is [\fIxstart\fR, \fIxend\fR]\&.
The procedure returns a list of four values:
.RS
.IP \(bu
The estimate of the integral over the specified interval (I)\&.
.IP \(bu
An estimate of the absolute error in I\&.
.IP \(bu
The estimate of the integral of the absolute value of the function over the interval\&.
.IP \(bu
The estimate of the integral of the absolute value of the function minus its mean over the interval\&.
.RE
.IP
The remaining arguments are:
.RS
.TP
\fIfunc\fR
Function to be integrated\&. It should take one single argument\&.
.TP
?nosteps?
Number of steps in which the interval is divided\&. Defaults to 1\&.
.RE
.sp
.TP
\fB::math::calculus::eulerStep\fR \fIt\fR \fItstep\fR \fIxvec\fR \fIfunc\fR
Set a single step in the numerical integration of a system of
differential equations\&. The method used is Euler's\&.
.RS
.TP
\fIt\fR
Value of the independent variable (typically time)
at the beginning of the step\&.
.TP
\fItstep\fR
Step size for the independent variable\&.
.TP
\fIxvec\fR
List (vector) of dependent values
.TP
\fIfunc\fR
Function of t and the dependent values, returning
a list of the derivatives of the dependent values\&. (The lengths of
xvec and the return value of "func" must match)\&.
.RE
.sp
.TP
\fB::math::calculus::heunStep\fR \fIt\fR \fItstep\fR \fIxvec\fR \fIfunc\fR
Set a single step in the numerical integration of a system of
differential equations\&. The method used is Heun's\&.
.RS
.TP
\fIt\fR
Value of the independent variable (typically time)
at the beginning of the step\&.
.TP
\fItstep\fR
Step size for the independent variable\&.
.TP
\fIxvec\fR
List (vector) of dependent values
.TP
\fIfunc\fR
Function of t and the dependent values, returning
a list of the derivatives of the dependent values\&. (The lengths of
xvec and the return value of "func" must match)\&.
.RE
.sp
.TP
\fB::math::calculus::rungeKuttaStep\fR \fIt\fR \fItstep\fR \fIxvec\fR \fIfunc\fR
Set a single step in the numerical integration of a system of
differential equations\&. The method used is Runge-Kutta 4th
order\&.
.RS
.TP
\fIt\fR
Value of the independent variable (typically time)
at the beginning of the step\&.
.TP
\fItstep\fR
Step size for the independent variable\&.
.TP
\fIxvec\fR
List (vector) of dependent values
.TP
\fIfunc\fR
Function of t and the dependent values, returning
a list of the derivatives of the dependent values\&. (The lengths of
xvec and the return value of "func" must match)\&.
.RE
.sp
.TP
\fB::math::calculus::boundaryValueSecondOrder\fR \fIcoeff_func\fR \fIforce_func\fR \fIleftbnd\fR \fIrightbnd\fR \fInostep\fR
Solve a second order linear differential equation with boundary
values at two sides\&. The equation has to be of the form (the
"conservative" form):
.CS


         d      dy     d
         -- A(x)--  +  -- B(x)y + C(x)y  =  D(x)
         dx     dx     dx

.CE
.IP
Ordinarily, such an equation would be written as:
.CS


             d2y        dy
         a(x)---  + b(x)-- + c(x) y  =  D(x)
             dx2        dx

.CE
.IP
The first form is easier to discretise (by integrating over a
finite volume) than the second form\&. The relation between the two
forms is fairly straightforward:
.CS


         A(x)  =  a(x)
         B(x)  =  b(x) - a'(x)
         C(x)  =  c(x) - B'(x)  =  c(x) - b'(x) + a''(x)

.CE
.IP
Because of the differentiation, however, it is much easier to ask
the user to provide the functions A, B and C directly\&.
.RS
.TP
\fIcoeff_func\fR
Procedure returning the three coefficients
(A, B, C) of the equation, taking as its one argument the x-coordinate\&.
.TP
\fIforce_func\fR
Procedure returning the right-hand side
(D) as a function of the x-coordinate\&.
.TP
\fIleftbnd\fR
A list of two values: the x-coordinate of the
left boundary and the value at that boundary\&.
.TP
\fIrightbnd\fR
A list of two values: the x-coordinate of the
right boundary and the value at that boundary\&.
.TP
\fInostep\fR
Number of steps by which to discretise the
interval\&.
The procedure returns a list of x-coordinates and the approximated
values of the solution\&.
.RE
.sp
.TP
\fB::math::calculus::solveTriDiagonal\fR \fIacoeff\fR \fIbcoeff\fR \fIccoeff\fR \fIdvalue\fR
Solve a system of linear equations Ax = b with A a tridiagonal
matrix\&. Returns the solution as a list\&.
.RS
.TP
\fIacoeff\fR
List of values on the lower diagonal
.TP
\fIbcoeff\fR
List of values on the main diagonal
.TP
\fIccoeff\fR
List of values on the upper diagonal
.TP
\fIdvalue\fR
List of values on the righthand-side
.RE
.sp
.TP
\fB::math::calculus::newtonRaphson\fR \fIfunc\fR \fIderiv\fR \fIinitval\fR
Determine the root of an equation given by
.CS


    func(x) = 0

.CE
.IP
using the method of Newton-Raphson\&. The procedure takes the following
arguments:
.RS
.TP
\fIfunc\fR
Procedure that returns the value the function at x
.TP
\fIderiv\fR
Procedure that returns the derivative of the function at x
.TP
\fIinitval\fR
Initial value for x
.RE
.sp
.TP
\fB::math::calculus::newtonRaphsonParameters\fR \fImaxiter\fR \fItolerance\fR
Set the numerical parameters for the Newton-Raphson method:
.RS
.TP
\fImaxiter\fR
Maximum number of iteration steps (defaults to 20)
.TP
\fItolerance\fR
Relative precision (defaults to 0\&.001)
.RE
.TP
\fB::math::calculus::regula_falsi\fR \fIf\fR \fIxb\fR \fIxe\fR \fIeps\fR
Return an estimate of the zero or one of the zeros of the function
contained in the interval [xb,xe]\&. The error in this estimate is of the
order of eps*abs(xe-xb), the actual error may be slightly larger\&.
.sp
The method used is the so-called \fIregula falsi\fR or
\fIfalse position\fR method\&. It is a straightforward implementation\&.
The method is robust, but requires that the interval brackets a zero or
at least an uneven number of zeros, so that the value of the function at
the start has a different sign than the value at the end\&.
.sp
In contrast to Newton-Raphson there is no need for the computation of
the function's derivative\&.
.RS
.TP
command \fIf\fR
Name of the command that evaluates the function for
which the zero is to be returned
.TP
float \fIxb\fR
Start of the interval in which the zero is supposed
to lie
.TP
float \fIxe\fR
End of the interval
.TP
float \fIeps\fR
Relative allowed error (defaults to 1\&.0e-4)
.RE
.PP
.PP
\fINotes:\fR
.PP
Several of the above procedures take the \fInames\fR of procedures as
arguments\&. To avoid problems with the \fIvisibility\fR of these
procedures, the fully-qualified name of these procedures is determined
inside the calculus routines\&. For the user this has only one
consequence: the named procedure must be visible in the calling
procedure\&. For instance:
.CS


    namespace eval ::mySpace {
       namespace export calcfunc
       proc calcfunc { x } { return $x }
    }
    #
    # Use a fully-qualified name
    #
    namespace eval ::myCalc {
       proc detIntegral { begin end } {
          return [integral $begin $end 100 ::mySpace::calcfunc]
       }
    }
    #
    # Import the name
    #
    namespace eval ::myCalc {
       namespace import ::mySpace::calcfunc
       proc detIntegral { begin end } {
          return [integral $begin $end 100 calcfunc]
       }
    }

.CE
.PP
Enhancements for the second-order boundary value problem:
.IP \(bu
Other types of boundary conditions (zero gradient, zero flux)
.IP \(bu
Other schematisation of the first-order term (now central
differences are used, but upstream differences might be useful too)\&.
.PP
.SH EXAMPLES
Let us take a few simple examples:
.PP
Integrate x over the interval [0,100] (20 steps):
.CS


proc linear_func { x } { return $x }
puts "Integral: [::math::calculus::integral 0 100 20 linear_func]"

.CE
For simple functions, the alternative could be:
.CS


puts "Integral: [::math::calculus::integralExpr 0 100 20 {$x}]"

.CE
Do not forget the braces!
.PP
The differential equation for a dampened oscillator:
.PP
.CS


x'' + rx' + wx = 0

.CE
.PP
can be split into a system of first-order equations:
.PP
.CS


x' = y
y' = -ry - wx

.CE
.PP
Then this system can be solved with code like this:
.PP
.CS


proc dampened_oscillator { t xvec } {
   set x  [lindex $xvec 0]
   set x1 [lindex $xvec 1]
   return [list $x1 [expr {-$x1-$x}]]
}

set xvec   { 1\&.0 0\&.0 }
set t      0\&.0
set tstep  0\&.1
for { set i 0 } { $i < 20 } { incr i } {
   set result [::math::calculus::eulerStep $t $tstep $xvec dampened_oscillator]
   puts "Result ($t): $result"
   set t      [expr {$t+$tstep}]
   set xvec   $result
}

.CE
.PP
Suppose we have the boundary value problem:
.PP
.CS


    Dy'' + ky = 0
    x = 0: y = 1
    x = L: y = 0

.CE
.PP
This boundary value problem could originate from the diffusion of a
decaying substance\&.
.PP
It can be solved with the following fragment:
.PP
.CS


   proc coeffs { x } { return [list $::Diff 0\&.0 $::decay] }
   proc force  { x } { return 0\&.0 }

   set Diff   1\&.0e-2
   set decay  0\&.0001
   set length 100\&.0

   set y [::math::calculus::boundaryValueSecondOrder \\
      coeffs force {0\&.0 1\&.0} [list $length 0\&.0] 100]

.CE
.SH "BUGS, IDEAS, FEEDBACK"
This document, and the package it describes, will undoubtedly contain
bugs and other problems\&.
Please report such in the category \fImath :: calculus\fR of the
\fITcllib Trackers\fR [http://core\&.tcl\&.tk/tcllib/reportlist]\&.
Please also report any ideas for enhancements you may have for either
package and/or documentation\&.
.PP
When proposing code changes, please provide \fIunified diffs\fR,
i\&.e the output of \fBdiff -u\fR\&.
.PP
Note further that \fIattachments\fR are strongly preferred over
inlined patches\&. Attachments can be made by going to the \fBEdit\fR
form of the ticket immediately after its creation, and then using the
left-most button in the secondary navigation bar\&.
.SH "SEE ALSO"
romberg
.SH KEYWORDS
calculus, differential equations, integration, math, roots
.SH CATEGORY
Mathematics
.SH COPYRIGHT
.nf
Copyright (c) 2002,2003,2004 Arjen Markus

.fi
