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Linear Optimization Problems with Inexact Data

Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems—for example, providing logistical support for the U.S. Armed Forces or modeling national economies. Early attempts to apply linear programming methods to solve practical problems failed to satisfy expectations. There were various reasons for the failure. One of them, which is the central topic of this book, was the inexactness of the data used to create the models. This phenomenon, inherent in most pratical problems, has been dealt with in several ways. At first, linear programming models used "average” values of inherently vague coefficients, but the optimal solutions of these models were not always optimal for the original problem itself. Later researchers developed the stochastic linear programming approach, but this too has its limitations. Recently, interest has been given to linear programming problems with data given as intervals, convex sets and/or fuzzy sets. The individual results of these studies have been promising, but the literature has not presented a unified theory. Linear Optimization Problems with Inexact Data attempts to present a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework.

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Clinical Bioethics : A Search for the Foundations

Clinical Bioethics. A Search for the Foundations compares major theoretical models in the foundation of clinical bioethics and explains medicine as a normative practice. The goals of medicine are discussed with particular reference to the subjectivisation of health and the rationalisation of health care institutions. This volume provides a consistent reconstruction of  bioethical judgment both at the level of epistemological statute and institutional context, i.e. clinical ethics committees and clinical ethics consultation.

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Asphaltenes, heavy oils, and petroleomics

Petroleomics is the prediction of all properties of petroleum based on the Petroleome, or complete listing of all components in a given crude oil. As it is developed, petroleomics will lead petroleum science into a bright new future, and it is the major focus of this book. A necessary step has been to resolve the molecular size and structure of asphaltene and its hierarchical aggregate structures, as well as the dynamics of asphaltenes. This is especially important for heavy oils. Flow assurance concerns and interfacial science are also treated. The technological development of downhole fluid analysis addresses the most important issues in deepwater production of oil.

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Applied computational materials modeling : Theory, simulation and experiment

this book provides the average person working in the materials field with a more balanced perspective of the role that computational modeling can play in every day research and development efforts. This is done by presenting a series of examples of the successful application of various computational modeling procedures (everything from first principles to quantum approximate to CALPHAD methods) to real life surface and bulk alloy problems.This book should have a large appeal in the materials community, both for experimentalists who would greatly benefit from adding computational methods to their everyday research regimes, as well as for those scientists/engineers familiar with a particular computational method who would like to add complementary techniques to their arsenal of research and development tools

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Advances in Dynamic Games : Applications to Economics, Management Science, Engineering, and Environmental Management

This book—an outgrowth of the 10th International Symposium on Dynamic Games—presents current developments of the theory of dynamic games and its applications to various domains, in particular energy-environment economics and management sciences.The volume uses dynamic game models of various sorts to approach and solve several problems pertaining to pursuit-evasion, marketing, finance, climate and environmental economics, resource exploitation, as well as auditing and tax evasions. In addition, it includes some chapters on cooperative games, which are increasingly drawing dynamic approaches to their classical solutions.

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