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 |  |  The Neural Simulation Language: A System for Brain ModelingThe Neural Simulation Language (NSL), developed by Alfredo Weitzenfeld, Michael Arbib, and Amanda Alexander, provides a simulation environment for modular brain modeling. NSL is an object-oriented language offering object-oriented protocols applicable to all levels of neural simulation. One of NSL's main strengths is that it allows for realistic... |  |  104 Number Theory Problems: From the Training of the USA IMO TeamThis challenging problem book by renowned US Olympiad coaches, mathematics teachers, and researchers develops a multitude of problem-solving skills needed to excel in mathematical contests and research in number theory. Offering inspiration and intellectual delight, the problems throughout the book encourage students to express their ideas,... |
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 Python Algorithms: Mastering Basic Algorithms in the Python Language
Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.
The book... |  |  Introduction to ATM/IP Design and Performance with Applications Analysis SoftwareMany engineers and students experience difficulty in making sense of issues associated with IP and ATM teletraffic techniques. This is partly because of the subject itself: networks are flexible, complicated, and still evolving. However, some of the difficulties arise because of the advanced mathematical methods that have been applied to provide... |  |  Mathematica Cookbook
Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data... |
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