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Semi-Infinite Programming
Semi-infinite programming (SIP) deals with optimization problems in which either the number of decision variables or the number of constraints is finite. This book presents the state of the art in SIP in a suggestive way, bringing the powerful SIP tools close to the potential users in different scientific and technological fields. The volume is divided into four parts. Part I reviews the first decade of SIP (1962-1972). Part II analyses convex and generalised SIP, conic linear programming, and disjunctive programming. New numerical methods for linear, convex, and continuously differentiable SIP problems are proposed in Part III. Finally, Part IV provides an overview of the applications of SIP to probability, statistics, experimental design, robotics, optimization under uncertainty, production games, and separation problems. Audience: This book is an indispensable reference and source for advanced students and researchers in applied mathematics and engineering.
Building Temples in China
Much has been written on how temples are constructed or reconstructed for reviving local religious and communal life or for recycling tradition after the market reforms in China. The dynamics between the state and society that lie behind the revival of temples and religious practices initiated by the locals have been well-analysed. However, there is a gap in the literature when it comes to understanding religious revivals that were instead led by local governments. This book examines the revival of worship of the Chinese Deity Huang Daxian and the building of many new temples to the god in mainland China over the last 20 years. It analyses the role of local governments in initiating temple c...
Advances in Optimization and Approximation
This book is a collection of research papers in optimization and approximation dedicated to Professor Minyi Yue of the Institute of Applied Mathematics, Beijing, China. The papers provide a broad spectrum of research on optimization problems, including scheduling, location, assignment, linear and nonlinear programming problems as well as problems in molecular biology. The emphasis of the book is on algorithmic aspects of research work in optimization. Special attention is paid to approximation algorithms, including heuristics for combinatorial approximation problems, approximation algorithms for global optimization problems, and applications of approximations in real problems. The work provides the state of the art for researchers in mathematical programming, operations research, theoretical computer science and applied mathematics.
Mathematical Reviews
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