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Algorithms on Finite Automata, ...   (MathSource: Packages and Programs)
This is a four-part work on implementing finite automata (FA) algorithms. Part I, "Generating and Enumerating Words", deals with the generation of the set of words accepted ...
Analog Insydes: Examples   (MathSource: Packages and Programs)
Analog Insydes is a Mathematica application package for modeling, analysis, and design of analog electronic circuits, tailored specifically for industrial applications. Here ...
Mathematical Statistics with ...   (Conference Proceedings)
We present a unified approach for doing mathematical statistics with Mathematica. At one extreme, our package PDF empowers even the "statistically challenged" with the ...
Proportional Hazards Modeling of ...   (Conference Proceedings)
This presentation demonstrates the application of Mathematica to solve distribution-free problems in survival analysis using the proportional hazards model. Continuous-time ...
Airfoil Aerodynamics   (MathSource: Packages and Programs)
This collection of documents uses interactive graphics powered by Mathematica (version 11.01) to illustrate the use of complex analysis to solve the classical problem of ...
Intended for graduate students in Mathematics and Physics, this book contains an extensive illustration of the use of finite-difference method in numerically solving boundary ...
Designed for students with no previous knowledge of Mathematica, this book emphasizes applied mathematical and statistical methods, graphics, and programming. It will take ...
Generally Efficient Numerics ...   (Conference Proceedings)
Mathematica 4 allows you to use and write numerical procedures that are not only efficient but also very general; they can work both with machine-hardware numbers and with ...
Binomial Coefficients   (MathSource: Packages and Programs)
This package implements fast evaluation of binomial coefficients. The evaluation of the standard binomial coefficients is accomplished using their prime factorization. This ...
Mathematical models of stationary long-range dependent processes are more complicated then ordinary autoregressive models as they involve fractional difference equations (or, ...
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