Here we model a Cassegrain telescope with the Mathematica application package LensLab, including the primary and secondary mirror objectives. For this example, we combine ...

The ubiquitous Manipulate function will be used in most talks at this conference and is the basis for such ventures as the Wolfram Demonstrations Project and Mathematica ...

The most difficult problems in modern finance often involve the determination of complex functions of simple securities like money, stocks, and equities. These problems are ...

Mathematica's highly optimized Gröbner basis reduction function is put to interesting geometric purposes.

This note gives two examples of order and apparent disorder, from simple iterated functions.

Mathematica's algebraic manipulative functions are used to find an 88-term polynomial defining a surface.

Since the publication of this book’s bestselling predecessor, Mathematica® has matured considerably and the computing power of desktop computers has increased greatly. The ...

Recursive algorithms--often espoused by designers of computer languages--are a mixed blessing when it comes to practical computational algorithms needed in the physical ...

Like many people, after having spent a lot of time developing an area of interest, I looked around for a way to share the results of my work with others. The web is a natural ...

The Ito Stochastic Process forms the basis of all derivative pricing in finance. All options are special cases of the diffusion equation which is solved by the Black-Scholes ...