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Evolutionary Algorithms in Molecular Design (Methods and Principles in Medicinal Chemistry)
Evolutionary Algorithms in Molecular Design (Methods and Principles in Medicinal Chemistry)
Nature has solved its most complicated problem, the creation, variation, and improvement of living organisms, in a simple and efficient manner. Starting from primitive forms in earth history, mutation and crossover produced variations that had to struggle for their existence and to compete with their ancestors and genetically...
Atmospheric Monitoring With Arduino: Building Simple Devices to Collect Data About the Environment
Atmospheric Monitoring With Arduino: Building Simple Devices to Collect Data About the Environment
We as a species are probably a little bit smarter than fish: at least we know that we spend our lives “swimming” at the bottom of an ocean of air. About 4/5th of that ocean is the relatively harmless gas nitrogen. Around another 1/5 of it is the highly reactive and slightly toxic gas oxygen. The...
Fun and Games: Second International Conference, Eindhoven, The Netherlands, October 20-21, 2008, Proceedings
Fun and Games: Second International Conference, Eindhoven, The Netherlands, October 20-21, 2008, Proceedings
The use of computing technology for entertainment purposes is not a recent phenomenon. Video game consoles, home computers and other entertainment media have been used widely for more than three decades, and people of all ages are spending an increasing amount of time and money on these technologies.

More recent
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SciPy and NumPy: An Overview for Developers
SciPy and NumPy: An Overview for Developers
Python, a high-level language with easy-to-read syntax, is highly flexible, which makes it an ideal language to learn and use. For science andR&D, a few extra packages are used to streamline the development process and obtain goals with the fewest steps possible. Among the best of these are SciPy and NumPy. This book gives a brief...
Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)
Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis.

This book provides a general introduction to Bayesian networks,...

Combinatorial Optimization: Methods and Applications: Volume 31 NATO Science for Peace and Security Series - D: Information and Communication Security
Combinatorial Optimization: Methods and Applications: Volume 31 NATO Science for Peace and Security Series - D: Information and Communication Security

This book is a collection of six articles arising from the meeting of the NATO Advanced Study Institute (ASI) ''Combinatorial Optimization: Methods and Applications,'' which was held at the University of Montreal in June 2006. This ASI consisted of seven series of five one-hour lectures and one series of four one-hour...

Advances in Chemical Physics: Modern Nonlinear Optics, Volume 119, Part 3, 2nd Edition
Advances in Chemical Physics: Modern Nonlinear Optics, Volume 119, Part 3, 2nd Edition
Few of us can any longer keep up with the flood of scientific literature, even in specialized subfields. Any attempt to do more and be broadly educated with respect to a large domain of science has the appearance of tilting at windmills. Yet the synthesis of ideas drawn from different subjects into new, powerful, general...
Approximation Methods for Efficient Learning of Bayesian Networks: Volume 168 Frontiers in Artificial Intelligence and Applications
Approximation Methods for Efficient Learning of Bayesian Networks: Volume 168 Frontiers in Artificial Intelligence and Applications

This publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains...

Large-Scale Computing Techniques for Complex System Simulations (Wiley Series on Parallel and Distributed Computing)
Large-Scale Computing Techniques for Complex System Simulations (Wiley Series on Parallel and Distributed Computing)
Complex systems are defined as systems with many interdependent parts that give rise to nonlinear and emergent properties determining their high-level functioning and behavior. Due to the interdependence of their constituent elements and other characteristics of complex systems, it is difficult to predict system behavior based...
A First Course in Probability (8th Edition)
A First Course in Probability (8th Edition)

A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering...

Graph Theory
Graph Theory
This introduction to graph theory focuses on well-established topics, covering primary techniques and including both algorithmic and theoretical problems. The algorithms are presented with a minimum of advanced data structures and programming details. This thoroughly corrected 1988 edition provides insights to computer scientists as well as...
e-Business and Telecommunications: 6th International Joint Conference, ICETE 2009, Milan, Italy, July 7-10, 2009.
e-Business and Telecommunications: 6th International Joint Conference, ICETE 2009, Milan, Italy, July 7-10, 2009.
The present book includes extended and revised versions of a set of selected best papers from the 6th International Joint Conference on e-Business and Telecommunications (ICETE), which was held in July 2009, in Milan, Italy. This conference reflects a continuing effort to increase the dissemination of recent research results...
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