FUNCTIONAL APPROXIMATIONS IN BASIC


Choose a source program (*.bas) by clicking the appropriate button.

AKIMA.BAS
AKIMA.TXT
TCHEBYSH.BAS
CHEBYSHE.TXT
TCHEBINT.BAS
TCHEBDER.BAS
TCHEAPP.BAS
TPOLINT.BAS
TRATINT.BAS
CONFRACT.BAS
CONFRACT.TXT
TRIGPOLY.BAS
DERIVATI.BAS
NDERIV.BAS
TDIFROM.BAS
LTDDEV.BAS
LTDDEV.TXT
LTDDEV1.BAS
LTDDEV2.BAS
LTDDEV3.BAS
HERMITE.BAS
INTEGRA.BAS
TGAUSS.BAS
TSIMPSON.BAS
DISINTEG.BAS
DINTEG.BAS
DINTEG.TXT
TQANC8.BAS
TROMBERG.BAS
CLENCURT.BAS
TSININT.BAS
PRIMITIV.BAS
TKUBNEC.BAS
TK3NEC.BAS
TK4GAU.BAS
TK3GAN.BAS
LAGRANGE.BAS
LAGRANGE.TXT
NEWTON.BAS
NEWTON.TXT
TSEVAL.BAS
MNBRAK.BAS
GOLDEN.PDF
GOLDEN.BAS
BRENT.PDF
BRENT.BAS
AMOEBA.PDF
TAMOEBA.BAS
POWELL.PDF
TPOWELL.BAS
STEEPDA.BAS
STEEPDA.TXT
STEEPDS.BAS
STEEPDS.TXT
Program Description

  • Program to demonstrate the Akima spline fitting
  • Explanation File of Program above (Akima)
  • Program to demonstrate the Chebyshev polynomial approximation
  • Explanation File of Chebyshev Approximation
  • Program to demonstrate the Chebyshev polynomial approximation (integral)
  • Program to demonstrate the Chebyshev polynomial approximation (derivative)
  • Best approximation of a discrete real function F(X) by Stiefel-Remès's polynomial method
  • Polynomial Interpolation or Extrapolation of a discrete Function F(x) using Polynomials.
  • Polynomial Interpolation or Extrapolation of a discrete Function F(x) using a Quotient of Polynomials.
  • Interpolate a function F(x) by continuous fractions
  • Explanation File of Program above (Confract)
  • Interpolate a function by trigonometric polynoms
  • Program to demonstrate Lagrange derivative interpolation
  • Estimate the Nth derivative of a real function f(x), N=1 to 5
  • Computes an approximation for the first derivative of a function F(x) using the ROMBERG method
  • Calculate a limited development of a real function f(x) at point xo with step h (up to order 5)
  • Explanation File of Programs Ltddev
  • Calculate a limited development of a real function f(x)*g(x) at x=0 up to order 25, knowing the limited developments of f(x) and g(x)
  • Calculate a limited development of a real function f(x)/g(x) at x=0 up to order 25, knowing the limited developments of f(x) and g(x)
  • Calculate a limited development of a real function f(x) o g(x) at x=0 up to order 25, knowing the limited developments of f(x) and g(x)
  • Program to demonstrate Hermite coefficients
  • Program to demonstrate the general integration subroutine
  • Integration of a real function F(X),F(X,Y) or F(X,Y,Z) by Gauss method
  • Program to demonstrate the Simpson integration subroutine
  • Program to demonstrate the discrete Simpson integration
  • Integration of a discrete function by the weighting coefficients Method
  • Explanation File of Program below
  • Program to integrate a user-defined function f(x) from x1 to x2 by the QANC8 subroutine with control of absolute and relative precisions
  • Program to demonstrate the Romberg integration subroutine
  • Integrate F(x) by using the summed Clenshaw-Curtis formula
  • Program to calculate sinintegral(x) or cosintegral(x)
  • Program to demonstrate the discrete Primitive subroutine
  • Test program for cubature over rectangles using Newton-Cotes
  • Test program for cubature over triangles using 3-point Newton-Cotes and Romberg-Richardson extrapolation
  • Test program for cubature over rectangles using Gauss
  • Test programm for cubature over triangles via summed Gaussian n-point formula
  • Program to demonstrate Lagrange interpolation
  • Explanation File of Program above (Lagrange)
  • Program to demonstrate Newton interpolation
  • Explanation File of Program above (Newton)
  • Cubic spline interpolation of a discrete function F(X), given by N points X(I),Y(I)
  • Bracketing a minimum of a real function F(X)
  • Explanation file of program below(GOLDEN)
  • Seek Minimum of a real function F(X) by Golden Section Search
  • Explanation file of program below(BRENT)
  • Seek Minimum of a real function F(X) by Brent's Method
  • Explanation file of program below(TAMOEBA)
  • Multidimensional minimization of a function FUNC(X) where X is an NDIM-dimensional vector, by the downhill simplex method of Nelder and Mead
  • Explanation file of program below(TPOWELL)
  • Minimization of a Function FUNC of N Variables By Powell's Method Discarding the Direction of Largest Decrease
  • Program to demonstrate multi-dimensional Steepest Descent Optimization (Partial derivatives not required)
  • Explanation File of Program above (Steepda)
  • Program to demonstrate multi-dimensional Steepest Descent Optimization (Partial derivatives required)
  • Explanation File of Program above (Steepds)


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© J-P Moreau Last modified 03/26/2014 - E-mail: jpmoreau@wanadoo.fr