This item contains complex analysis software coded in Mathematica 4.0. The examples are described in the text "Complex Analysis: for Mathematics and Engineering," 3rd ...

Untangling neural nets turns out to be a job well suited for Mathematica. With it researchers can test algorithms and view the results graphically.

This book is designed to help even the novice user learn to use the most important features of Mathematica and apply them to physical chemistry problem solving. The material ...

A Notebook developed in the Mathematica software using a rigorous formulation to analyze planar optical waveguides operating in the TE or TM mode is presented. By using the ...

Mathematica provides both traditional machine-level floating point numbers and software implemented variable-precision floating-point numbers. There are two different notions ...

This paper introduces and explores the concept of semantic matching in the context of the Mathematica language. The package Semantica.m extends the Mathematica pattern ...

In this tutorial type paper a Mathematica function for Support Vector Regression has been developed. Summarizing the main definitions and theorems of SVR, the detailed ...

This text is meant to be a hands-on lab manual that can be used in class every day to guide the exploration of the theory and applications of differential and integral ...

Ruby/Mathematica is a library that provides an interface to the MathLink(TM) library. This library has some methods that implement a protocol for sending and receiving ...

The Mathematica kernel is uniquely suited as a computation server and control program inside batch-oriented, interactive, or web-based applications. Its rich, interactive ...