SDE, a C library which illustrates the properties of stochastic differential equations and some algorithms for handling them, making graphics files for processing and display by gnuplot, by Desmond Higham.
The library requires access to the QR_SOLVE library as well.
The original version of these routines is available at "http://www.maths.strath.ac.uk/~aas96106/algfiles.html".
The computer code and data files made available on this web page are distributed under the GNU LGPL license.
SDE is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version.
BLACK_SCHOLES, a C library which implements some simple approaches to the Black-Scholes option valuation theory, by Desmond Higham.
CNOISE, a C library which generates samples of noise obeying a 1/f^alpha power law, by Miroslav Stoyanov.
COLORED_NOISE, a C library which generates samples of noise obeying a 1/f^alpha power law.
CORRELATION, a C library which contains examples of statistical correlation functions.
gnuplot_test, C programs which illustrate how a program can write data and command files so that gnuplot can create plots of the program results.
ORNSTEIN_UHLENBECK, a C library which approximates solutions of the Ornstein-Uhlenbeck stochastic differential equation (SDE) using the Euler method and the Euler-Maruyama method.
PCE_BURGERS, a C program which defines and solves a version of the time-dependent viscous Burgers equation, with uncertain viscosity, using a polynomial chaos expansion in terms of Hermite polynomials, by Gianluca Iaccarino.
PCE_ODE_HERMITE, a C program which sets up a simple scalar ODE for exponential decay with an uncertain decay rate, using a polynomial chaos expansion in terms of Hermite polynomials.
PINK_NOISE, a C library which computes a "pink noise" signal obeying a 1/f power law.
QR_SOLVE, a C library which computes the least squares solution of a linear system A*x=b.
STOCHASTIC_DIFFUSION, a C library which implements several versions of a stochastic diffusivity coefficient.
STOCHASTIC_RK, a C library which applies a Runge Kutta (RK) scheme to a stochastic differential equation.
Original MATLAB version by Desmond Higham. C version by John Burkardt.