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My profile My library Metrics Alerts. Sign in. Get my own profile Cited by View all All Since Citations h-index 85 45 iindex Co-authors R. Veliov Vienna University of Technology Verified email at tuwien.

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Nghia Oakland University Verified email at oakland. Professor of Mathematics, University of Washington.

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Springer: Grundlehren der Math. SIAM journal on control and optimization 14 5 , , Mathematics of Operations Research 16 1 , , Society for Industrial and Applied Mathematics , Mathematics of operations research 1 2 , , Transactions of the American Mathematical Society 1 , , Pacific Journal of Mathematics 33 1 , , Nonlinear operators and the calculus of variations, , Journal of Optimization Theory and applications 12 6 , , Canadian Journal of Mathematics 32 2 , , Consequently the readership should be not only researchers in the field of optimization, nonlinear programming and optimal control, but also users of optimization in a wide sense, in mechanics elasticity and plasticity theory , physics, statistics, finance and economics.

The book will be useful to research professionals, including graduate students at an advanced level. About this book The methodological development of integer programming has grown by leaps and bounds in the past four decades, with its main focus on linear integer programming.

However, the past few years have also witnessed certain promising theoretical and methodological achievements in nonlinear integer programming.

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These recent developments have produced applications of nonlinear mixed integer programming across a variety of various areas of scientific computing, engineering, management science and operations research. Its prominent applications include, for examples, portfolio selection, capital budgeting, production planning, resource allocation, computer networks, reliability networks and chemical engineering. The book is a comprehensive and systematic treatment of the methodology of nonlinear integer programming. The book's goal is to bring the state-of-the-art of the theoretical foundation and solution methods for nonlinear integer programming to students and researchers in optimization, operations research, and computer science.

This book systemically investigates theory and solution methodologies for general nonlinear integer programming, and at the same time, provides a timely and comprehensive summary of the theoretical and algorithmic development in the last 30 years on this topic. Author: R.

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It refers not only to constrained movement away from a point, but also to modes of perturbation and approximation that are best describable by 'set convergence', variational convergence of functions' and the like. This book develops a unified framework and, in finite dimension, provides a detailed exposition of variational geometry and subdifferential calculus in their current forms beyond classical and convex analysis. Also covered are set-convergence, set-valued mappings, epi-convergence, duality, maximal monotone mappings, second-order subderivatives, measurable selections and normal integrands.

Network Optimization: Continuous and Discrete Models

Author: Robert A. Day has also expanded the section on poster preparation and presentation. The author helps good scientists become good writers by providing a practical guide to the process of writing, organising, illustrating, and submitting scientific research for publication in a scholarly scientific journal.

Flows and Cuts in Graph Theory

The book's chapters are arranged according to the sequence of necessary steps for the submission and publication of a scientific paper.