Learn IT - Books tags heuristics

Joe Celko's SQL Programming Style (The Morgan Kaufmann Series in Data Management Systems)

Morgan Kaufmann, 2005

Are you an SQL programmer that, like many, came to SQL after learning and writing procedural or object-oriented code? Or have switched jobs to where a different brand of SQL is being used, or maybe even been told to learn SQL yourself?

If even one answer is yes, then you need this book. A "Manual of Style" for the SQL...

Rippling: Meta-Level Guidance for Mathematical Reasoning

Cambridge University Press, 2005

The automation of mathematical reasoning has been an important topic of research almost since computers were invented. The new technique of rippling, described here for the first time in book form, is designed to be an approach to mathematical reasoning that takes into account ideas of heuristics and searching. Rippling addresses...

Traffic Grooming in Optical WDM Mesh Networks

Springer, 2005

Traffic Grooming in Optical WDM Mesh Networks captures the state-of-the-art in the design and analysis of network architectures, protocols, and algorithms for implementing efficient traffic grooming in optical WDM mesh networks. Key topics include: - Static traffic grooming - Dynamic traffic grooming - Grooming models and policies - Grooming node...

Object-Oriented Design Heuristics

Addison Wesley, 1996

Upon completion of an object-oriented design, you are faced with a troubling question: "Is it good, bad, or somewhere in between?" Seasoned experts often answer this question by subjecting the design to a subconscious list of guidelines based on their years of experience. Experienced developer Arthur J. Riel has captured this elusive,...

Object-Oriented Design Knowledge: Principles, Heuristics and Best Practices

IGI Global, 2006

In order to establish itself as a branch of engineering, a profession must understand
its accumulated knowledge. In addition, software engineering as a branch
of engineering must take several basic steps in order to become an established
profession, highlighting understanding of the nature of its knowledge.

Software...

Intelligent Techniques for Planning

Idea Group Publishing, 2004

The Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the construction of graphs and the use of domain-independent heuristics with techniques from other areas of artificial intelligence. The book presents, in detail, a number...

UML 2004 - The Unified Modeling Language: Modeling Languages and Applications. 7th International Conference

Springer, 2004

This book constitutes the refereed proceedings of the 7th International Conference on the Unified Modeling Language, UML 2004, held in Lisbon, Portugal, in October 2004.

The 30 revised full papers presented together with summaries on the workshops and tutorials were carefully reviewed and selected from 135 technical paper submissions....

Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series)

Springer, 2006

Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical...

Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations

Springer, 2004

The last decade of the twentieth century has witnessed a surge of interest in numerical, computational intensive approaches to information processing. The lines that draw the boundaries between statistics, optimization, artificial intelligence and information processing are disappearing and it is not uncommon to find well founded and sophisticated...

Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005

Springer, 2005

The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report...

Evolutionary Computation in Combinatorial Optimization: 6th European Conference, EvoCOP 2006

Springer, 2006

Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated...

Task Scheduling for Parallel Systems (Wiley Series on Parallel and Distributed Computing)

John Wiley & Sons, 2007

A new model for task scheduling that dramatically improves the efficiency of parallel systems

Task scheduling for parallel systems can become a quagmire of heuristics, models, and methods that have been developed over the past decades. The author of this innovative text cuts through the confusion and complexity by...

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