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Scilab Help >> Differential calculus, Integration > intg


definite integral

Calling Sequence

[v, err [,ierr]]=intg(a, b, f [,ea [,er]])


a, b

real numbers.


external (function or list or string).

ea, er

real numbers.


absolute error required on the result. Default value: 1.d-14.


relative error required on the result. Default value: 1.d-8.


estimated absolute error on the result.


error flag number (= 0 if no error occured).


intg(a,b,f) evaluates the definite integral from a to b of f(t)dt. The function f(t) should be continuous.

The evaluation hopefully satisfies following claim for accuracy: abs(I-v)<= max(ea,er*abs(I)) where I stands for the exact value of the integral.

f is an external :

If f is function its definition must be as follows y = f(t)

If f is a list the list must be as follows: list(f,x1,x2,...) where f is a function with calling sequence f(t,x1,x2,...).

If f is a string it refers to the name of a Fortran function or a C prodedure with a given calling sequence:

In the fortran case the calling sequence should be double precision function f(x) where x is also a double precision number.

In the C case the calling sequence should be double f(double *x) .

Known Limitation

Like all the integrators, intg is subject to spike missing.

A flat function with a spike will be seen as a fully flat function if the spike is stiff enough.

This cannot be bypassed, it is easy to understand why when we know how the integrator operates. Indeed, intg uses the 21-point Gauss-Kronrod rule, so if there is a spike in-between two consecutive integration points, then it will go undetected, the function will be considered smooth.

However, a warning message will be issued if the function is considered very smooth. The user will then be suggested to reduce the integration interval, should he think that spikes were missed.

The following graphs illustrate that phenomenon.

Being in-between the 9th and 10th integration points, that spike is not detected and intg considers the function flat. In the next image, the spike is large enough to be covered by the integration points.

If the user wants to display the computed solution even if the solver has encountered an error, he should add the third output argument ierr, that will transform the errors into warnings. This is mostly used in the case of rounding errors.


// Function written in the Scilab language
function y=f(x),y=x*sin(30*x)/sqrt(1-((x/(2*%pi))^2)),endfunction

// Function with an argument written in the Scilab language
function y=f1(x, w),y=x*sin(w*x)/sqrt(1-((x/(2*%pi))^2)),endfunction

// Function written in Fortran (a Fortran compiler is required)
// define a Fortran function
F=['      double precision function ffun(x)'
   '      double precision x,pi'
   '      pi=3.14159265358979312d+0'
   '      ffun=x*sin(30.0d+0*x)/sqrt(1.0d+0-(x/(2.0d+0*pi))**2)'
   '      return'
   '      end'];

// compile the function

// add the function to the working environment

// integrate the function

// Function written in C (a C compiler is required)
// define a C function
C=['#include <math.h>'
   'double cfun(double *x)'
   '  double y,pi=3.14159265358979312;'
   '  y=*x/(2.0e0*pi);'
   '  return *x*sin(30.0e0**x)/sqrt(1.0e0-y*y);'

// compile the function

// add the function to the working environment

// integrate the function

See Also

  • intc — Cauchy integral
  • intl — Cauchy integral
  • inttrap — integration of experimental data by trapezoidal interpolation
  • intsplin — integration of experimental data by spline interpolation
  • ode — ordinary differential equation solver

Used Functions

The associated routines can be found in SCI/modules/differential_equations/src/fortran directory :

dqags.f and dqagse.f from quadpack

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Last updated:
Wed Apr 01 10:13:52 CEST 2015