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Global optimization concerns the computation and characterization of globaloptima of nonlinear functions. Such problems are widespread in the mathematicalmodelling of real systems in a very wide range of applications and the last 30years have seen the development of many new theoretical algorithmic andcomputational contributions which have helped to solve globally multiextremeproblems in important practical applications. br Most of the existing books onoptimization focus on the problem of computing locally optimal solutions.emIntroduction to Globalem emOptimizationem however is a comprehensivetextbook on constrained global optimization that covers the fundamentals of thesubject presenting much new material including algorithms applications andcomplexity results for quadratic programming concave minimization DC andLipschitz problems and nonlinear network flow. Each chapter containsillustrative examples and ends with carefully selected exercises designed tohelp students grasp the material and enhance their knowledge of the methodsinvolved. br emAudienceem Students of mathematical programming and allscientists from whatever discipline who need global optimization methods insuch diverse areas as economic modelling fixed charges finance networks andtransportation databases chip design image processing nuclear andmechanical design chemical engineering design and control molecular biologyand environmental engineering. br «
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