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The Parallel Computing Toolkit   (Conference Proceedings)
The MathLink communication protocol can be used to control several Mathematica kernel processes from within Mathematica. This feature allows the implementation of a ...
Quantum Algebra   (MathSource: Packages and Programs)
Quantum Algebra is a package to perform Quantum Calculations using non commutative algebra. For this purpose we added Dirac notations for Bras, Kets, Brakets, and ...
Symbolic Differential Equations   (Conference Proceedings)
Several enhancements have been made to Mathematica's symbolic differential equation solver, DSolve, which allow us to handle wider classes of Abel ODEs and ...
Digital Image Processing 2.0: ...   (Conference Proceedings)
This hands-on session is designed as a quick introduction to the Digital Image Processing 2.0 package and its many new features. The session will begin with a brief ...
Motivation: As a first step toward the elucidation of the systems biology of complex biological systems, it was our goal to mathematically model common enzyme catalytic and ...
VLLE Computation using ...   (MathSource: Packages and Programs)
The present notebook shows how one can compute Vapour-Liquid-Liquid Equilibrium data using the two-parameter Margules model. This method is applied to a ternary system: ...
Computing multiple steady states in ...   (MathSource: Packages and Programs)
When activation energy is high enough, a nonisothermal CSRT, where a first order reaction is taking place, exhibits multiple steady states. In the notebook, we show how ...
Yield Curves with Mathematica 6   (Conference Proceedings)
Abstract This contribution is concerned with analysis of the profile of interest rates (IRs) over time, also known as term structure of IRs. The graphical representation of ...
Is it possible to write a given positive integer as an arithmetic expression in which each of the numbers 1 through k appears exactly once? For instance, using the numbers 1 ...
Selecting and Fitting Nonlinear ...   (Conference Proceedings)
When nonlinear models are fitted to data it is important to make sure that the data is not overfitted. The reason for this is that many possible model structures, all with ...
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