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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems: 7th International Conference
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems: 7th International Conference

Cutting planes (cuts) are very popular in the OR community, where they are used to strengthen the Linear Programming (LP) relaxation of Mixed-Integer Programs (MIPs) in the hope of improving the performance of an exact LPbased solver. In particular, an intense research effort has been devoted to the study of families of general cuts,...

Computability and Complexity Theory (Texts in Computer Science)
Computability and Complexity Theory (Texts in Computer Science)

The theory of computing provides computer science with concepts, models, and formalisms for reasoning about both the resources needed to carry out computations and the efficiency of the computations that use these resources. It provides tools to measure the difficulty of combinatorial problems both absolutely and in comparison with other...

Handbook of Approximation Algorithms and Metaheuristics
Handbook of Approximation Algorithms and Metaheuristics

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics.

Starting with basic approaches, the
...

Algorithms Unplugged
Algorithms Unplugged

Algorithms specify the way computers process information and how they execute tasks. Many recent technological innovations and achievements rely on algorithmic ideas – they facilitate new applications in science, medicine, production, logistics, traffic, communi¬cation and entertainment. Efficient algorithms not only enable your...

Testing Complex and Embedded Systems
Testing Complex and Embedded Systems

Many enterprises regard system-level testing as the final piece of the development effort, rather than as a tool that should be integrated throughout the development process. As a consequence, test teams often execute critical test plans just before product launch, resulting in much of the corrective work being performed in a rush and at the...

Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

Computers and Games: 7th International Conference, CG 2010, Kanazawa, Japan
Computers and Games: 7th International Conference, CG 2010, Kanazawa, Japan

This book contains the papers of the 7th Computer and Games Conference (CG 2010) held in Kanazawa, Japan. The conference took place during September 24–26, 2010 in conjunction with the 15th Computer Olympiad and the 17th World Computer Chess Championship.

The Computer and Games conference series is a major international...

Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing

Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today. The level and depth of recent advances in the area and the wide...

Exact Exponential Algorithms (Texts in Theoretical Computer Science. An EATCS Series)
Exact Exponential Algorithms (Texts in Theoretical Computer Science. An EATCS Series)

For a long time computer scientists have distinguished between fast and slow algorithms. Fast (or good) algorithms are the algorithms that run in polynomial time, which means that the number of steps required for the algorithm to solve a problem is bounded by some polynomial in the length of the input. All other algorithms are slow (or bad)....

Theoretical Computer Sciences: Lectures given at a Summer School of the Centro Internazionale Matematico Estivo
Theoretical Computer Sciences: Lectures given at a Summer School of the Centro Internazionale Matematico Estivo

R.E. Miller: Parallel program schemata.- D.E. Muller: Theory of automata.- R. Karp: Computational complexity of combinatorial and graph-theoretic problems.

In this lecture we discuss a type of computer organization which is based upon the concept of operation sequencing being controlled by operand availability. Such sequencing...

A Guide to Experimental Algorithmics
A Guide to Experimental Algorithmics

Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations, and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I...

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...
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