Pre-Owned Nonconvex Optimization and Its Applications: Deterministic Global Optimization: Geometric Branch-And-Bound Methods and Their Applications Paperback from other stores

  • This book examines geometric branch-and-bound methods such as in Lipschitzian ... This book examines geometric branch-and-bound methods such as in Lipschitzian optimization d.c. programming and interval analysis introduces a new concept for the rate of convergence and also analyzes several bounding operations reported in the... more
  • This book examines geometric branch-and-bound methods such as in Lipschitzian ... This book examines geometric branch-and-bound methods such as in Lipschitzian optimization d.c. programming and interval analysis introduces a new concept for the rate of convergence and also analyzes several bounding operations reported in the... more
  • This book examines geometric branch-and-bound methods such as in Lipschitzian ... This book examines geometric branch-and-bound methods such as in Lipschitzian optimization d.c. programming and interval analysis introduces a new concept for the rate of convergence and also analyzes several bounding operations reported in the... more
  • This book examines geometric branch-and-bound methods such as in Lipschitzian ... This book examines geometric branch-and-bound methods such as in Lipschitzian optimization d.c. programming and interval analysis introduces a new concept for the rate of convergence and also analyzes several bounding operations reported in the... more
  • The vast majority of important applications in science engineering and applied... The vast majority of important applications in science engineering and applied science are characterized by the existence of multiple minima and maxima as well as first second and higher order saddle points. The area of Deterministic Global... more
  • The vast majority of important applications in science engineering and applied... The vast majority of important applications in science engineering and applied science are characterized by the existence of multiple minima and maxima as well as first second and higher order saddle points. The area of Deterministic Global... more
  • Nonconvex Optimization is a multi-disciplinary research field that deals with ... Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear nonconvex nonsmooth discrete and continuous functions. Nonconvex optimization problems are... more
  • Hemivariational inequalities represent an important class of problems in nonsm... Hemivariational inequalities represent an important class of problems in nonsmooth and nonconvex mechanics. By means of them problems with nonmonotone possibly multivalued constitutive laws can be formulated mathematically analyzed and finally... more
  • As optimization researchers tackle larger and larger problems scale interactio... As optimization researchers tackle larger and larger problems scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones which are hopefully much... more
  • In the paper we propose a model of tax incentives optimization for inve- ment ... In the paper we propose a model of tax incentives optimization for inve- ment projects with a help of the mechanism of accelerated depreciation. Unlike the tax holidays which influence on effective income tax rate accelerated - preciation affects on... more
  • Optimization problems abound in most fields of science engineering and tech- n... Optimization problems abound in most fields of science engineering and tech- nology. In many of these problems it is necessary to compute the global optimum (or a good approximation) of a multivariable function. The variables that define the... more
  • Optimization problems abound in most fields of science engineering and tech- n... Optimization problems abound in most fields of science engineering and tech- nology. In many of these problems it is necessary to compute the global optimum (or a good approximation) of a multivariable function. The variables that define the... more
  • In science engineering and economics decision problems are frequently modelled... In science engineering and economics decision problems are frequently modelled by optimizing the value of a (primary) objective function under stated feasibility constraints. In many cases of practical relevance the optimization problem structure... more
  • In science engineering and economics decision problems are frequently modelled... In science engineering and economics decision problems are frequently modelled by optimizing the value of a (primary) objective function under stated feasibility constraints. In many cases of practical relevance the optimization problem structure... more
  • This book reflects a significant part of authors research activity dur- ing th... This book reflects a significant part of authors research activity dur- ing the last ten years. The present monograph is constructed on the results obtained by the authors through their direct cooperation or due to the authors separately or in... more
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