Assignment Problems is a useful tool for researchers, practitioners and graduate students. In 10 self-contained chapters, it provides a comprehensive treatment of assignment problems from their conceptual beginnings through present-day theoretical, algorithmic and practical developments. The topics covered include bipartite matching algorithms, linear assignment problems, quadratic assignment problems, multi-index assignment problems and many variations of these. Researchers will benefit from the detailed exposition of theory and algorithms related to assignment problems, including the basic linear sum assignment problem and its variations. Practitioners will learn about practical applications of the methods, the performance of exact and heuristic algorithms, and software options. This book also can serve as a text for advanced courses in areas related to discrete mathematics and combinatorial optimisation. The revised reprint provides details on a recent discovery related to one of Jacobi's results, new material on inverse assignment problems and quadratic assignment problems, and an updated bibliography.
Conroy Maddox discovered surrealism by chance in 1935 and spent the rest of his life exploring its potential through his paintings, collages, photographs, objects and texts. Inspired by artists such as Max Ernst, Oscar Dominguez and Salvador Dalí, he rejected academic painting in favor of techniques that expressed the surrealist spirit of rebellion. Maddox went on to become a rebel in every sense – the defiance that had initially turned towards aesthetics became a broader challenge against morality, religion and the establishment as a whole. Maddox’s colorful exploits and outstanding artistic production undoubtedly made him Britain’s most beguiling, provocative and vigorous exponent of surrealism. This book maps out his place in the history of the surrealist movement and reveals the intellectual complexity as well as the poignant charm of an oeuvre that spans eight decades.
Assignment Problems is a useful tool for researchers, practitioners and graduate students. In 10 self-contained chapters, it provides a comprehensive treatment of assignment problems from their conceptual beginnings through present-day theoretical, algorithmic and practical developments. The topics covered include bipartite matching algorithms, linear assignment problems, quadratic assignment problems, multi-index assignment problems and many variations of these. Researchers will benefit from the detailed exposition of theory and algorithms related to assignment problems, including the basic linear sum assignment problem and its variations. Practitioners will learn about practical applications of the methods, the performance of exact and heuristic algorithms, and software options. This book also can serve as a text for advanced courses in areas related to discrete mathematics and combinatorial optimisation. The revised reprint provides details on a recent discovery related to one of Jacobi's results, new material on inverse assignment problems and quadratic assignment problems, and an updated bibliography.
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