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For centuries, classical scholars have intensely debated the "position of women" in classical Athens. Did women have a vast but informal power, or were they little better than slaves? Using methods developed from feminist anthropology, Winkler steps back from this narrowly framed question and puts it in the larger context of how sex and gender in ancient Greece were culturally constructed. His innovative approach uncovers the very real possibilities for female autonomy that existed in Greek society.

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The ubiquity of combinatorial optimization problems in our society is illustrated by the novel application areas for optimization technology, which range from supply chain management to sports tournament scheduling. Over the last two decades, constraint programming has emerged as a fundamental methodology to solve a variety of combinatorial problems, and rich constraint programming languages have been developed for expressing and combining constraints and specifying search procedures at a high level of abstraction. Local search approaches to combinatorial optimization are able to isolate optimal or near-optimal solutions within reasonable time constraints. This book introduces a method for solving combinatorial optimization problems that combines constraint programming and local search, using constraints to describe and control local search, and a programming language, COMET, that supports both modeling and search abstractions in the spirit of constraint programming. After an overview of local search including neighborhoods, heuristics, and metaheuristics, the book presents the architecture and modeling and search components of constraint-based local search and describes how constraint-based local search is supported in COMET. The book describes a variety of applications, arranged by meta-heuristics. It presents scheduling applications, along with the background necessary to understand these challenging problems. The book also includes a number of satisfiability problems, illustrating the ability of constraint-based local search approaches to cope with both satisfiability and optimization problems in a uniform fashion.

This book introduces a new logic-based multi-paradigm programming language that integrates logic programming, functional programming, dynamic programming with tabling, and scripting, for use in solving combinatorial search problems, including CP, SAT, and MIP (mixed integer programming) based solver modules, and a module for planning that is implemented using tabling. The book is useful for undergraduate and graduate students, researchers, and practitioners.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.57

Book is in NEW condition. 1.62

A copy that has been read, but remains in clean condition. All pages are intact, and the cover is intact (including dust cover, if applicable). The spine may show signs of wear. Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or limited small stickers. Book may have a remainder mark or be a price cutter.

At first glance, this might appear to be a book on mathematics, but it is really intended for the practical engineer who wishes to gain greater control of the multidimensional mathematical models which are increasingly an important part of his environment. Another feature of the book is that it attempts to balance left- and right-brain perceptions; the author has noticed that many graph theory books are disturbingly light on actual topological pictures of their material. One thing that this book is not is a depiction of the Theory of Constraints, as defined by Eliyahu Goldratt in the 1980’s. Constraint Theory was originally defined by the author in his PhD dissertation in 1967 and subsequent papers written over the following decade. It strives to employ more of a mathematical foundation to complexity than the Theory of Constraints. This merely attempts to differentiate this book from Goldratt’s work, not demean his efforts. After all, the main body of work in the field of 1 Systems Engineering is still largely qualitative .

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.33

For the last 25 years, a constraints-based framework has helped to inform the way that many sport scientists seek to understand performance, learning design and the development of expertise and talent in sport. The Constraints-Led Approach: Principles for Sports Coaching and Practice Design provides students and practitioners with the theoretical knowledge required to implement constraints-led approaches in their work. Seeking to bridge the divide between theory and practice, the book sets out an ‘environment design framework’, including practical tools and guidance for the application of the framework in coaching and skill acquisition settings. It includes chapters on constraints-led approaches in golf, athletics and hockey, and provides applied reading for undergraduate and postgraduate students of motor learning, skill acquisition and developing sport expertise. Providing a thorough grounding in the theory behind constraints-led approaches to skill acquisition, and a foundational cornerstone in the Routledge Studies in Constraints-Based Methodologies in Sport series, this is a vital pedagogical resource for students and practising sports coaches, physical education teachers and sport scientists alike.

Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to effectively focus on the possible, allowing for a natural declarative formulation of what must be satisfied, without expressing how. The field of constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. Today, constraint problems are used to model cognitive tasks in vision, language comprehension, default reasoning, diagnosis, scheduling, temporal and spatial reasoning. In Constraint Processing, Rina Dechter, synthesizes these contributions, along with her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms. Throughout, she focuses on fundamental tools and principles, emphasizing the representation and analysis of algorithms.Examines the basic practical aspects of each topic and then tackles more advanced issues, including current research challengesBuilds the reader's understanding with definitions, examples, theory, algorithms and complexity analysisSynthesizes three decades of researchers work on constraint processing in AI, databases and programming languages, operations research, management science, and applied mathematics

Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.9

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.76

Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to effectively focus on the possible, allowing for a natural declarative formulation of what must be satisfied, without expressing how. The field of constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. Today, constraint problems are used to model cognitive tasks in vision, language comprehension, default reasoning, diagnosis, scheduling, temporal and spatial reasoning. In Constraint Processing, Rina Dechter, synthesizes these contributions, along with her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms. Throughout, she focuses on fundamental tools and principles, emphasizing the representation and analysis of algorithms.Examines the basic practical aspects of each topic and then tackles more advanced issues, including current research challengesBuilds the reader's understanding with definitions, examples, theory, algorithms and complexity analysisSynthesizes three decades of researchers work on constraint processing in AI, databases and programming languages, operations research, management science, and applied mathematics

Contributed articles presented at the Seminar on "Constraints in the Development of Manipur" at Imphal, Manipur during Oct. 18-19, 2000.

The basic theme of the work is an important one for operational research, namely the influence of constraints rather than objectives in policy formulation.' -Journal Of The Operational Research Society

New! This book is in the same immaculate condition as when it was published 0.76

For centuries, classical scholars have intensely debated the "position of women" in classical Athens. Did women have a vast but informal power, or were they little better than slaves? Using methods developed from feminist anthropology, Winkler steps back from this narrowly framed question and puts it in the larger context of how sex and gender in ancient Greece were culturally constructed. His innovative approach uncovers the very real possibilities for female autonomy that existed in Greek society.

A new approach to improving the production of goods and services, Constraints Management (CM), recognizes the powerful role of the constraint (the limiting resource) in determining the output of the entire production system. By learning about and mastering CM concepts, managers can improve their companies' present output and plan for future growth as well.