30-day fully-functional evaluation versions of the NMath libraries. Complete with user guides, reference documentation, whitepapers and C# and VB.NET code examples.
Free C# implementation of the Mersenne Twister algorithm,
developed by Makoto Matsumoto and
Takuji Nishimura in 1996-1997. This algorithm is faster and more efficient,
and has a far longer period and far higher order of equidistribution, than
other existing generators.
Free C# histogram class maintains a
histogram of input data. Input data is sorted into bins and a count is
kept of how many data points fall into each bin. Accumulated data
can be displayed as an ASCII stem-leaf diagram or formatted string
representation.
Free C# implementation of the trapezoidal rule for numerical integration. The
provided Integrate() method accepts a function delegate
and a lower and upper bound, and returns an approximation of the integral
over the interval. The maximum number of iterations and the error tolerance
can be customized.
Free C# normal distribution class. Instances are constructed with
a given mean and variance. The probability density function (PDF)
and cumulative distribution function (CDF) can be computed for a given x-value.
Free C# class that given the statistical volatility of a security and its
current market price, calculates the probability that a given target price
will be reached or exceeded after a forecast number of days. (Requires NMath
Core and NMath Stats; see free evaluation versions above.)
