Derived distributions are modifications to existing distributions. There is a variety of ways in which you can arrive at modified distributions, including functions of random ...

Mathematica provides powerful functions to compute state-feedback and estimator gains using pole-placement or optimal techniques. In addition, it has functions that directly ...

Although Diophantine equations provide classic examples of undecidability, Mathematica in practice succeeds in solving a remarkably wide range of such equations—automatically ...

Mathematica provides flexible mechanisms for full typeset formatting of numbers of any magnitude and precision, to optimize readability, portability, and external ...

There are many types of distributions that are relevant for communication systems. In telecom, for instance, exponential and Erlang distributions modeling talk lengths are ...

Mathematica can generate many types of high-quality formatted documents directly from symbolic notebook expressions, with either automatic styling, or detailed control and ...

Mathematica's unified symbolic architecture makes it straightforward to insert dynamic behavior anywhere in any graphic. Single functions—readily generated ...

With careful standardization of argument conventions, Mathematica provides full coverage of elliptic integrals, with arbitrary-precision numerical evaluation for complex ...

Using original algorithms developed at Wolfram Research, Mathematica evaluates error and exponential integral functions anywhere in the complex plane, to arbitrary ...