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Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide classes of combinatorial optimization problems.  Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis  as well as some classes of Scheduling Problems. Data Correcting Algorithms in Combinatorial Optimization  introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to the original intractable problem and find which element of the corrected instance  one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with the requirements for solving real world problems.

Mathematical optimization. --- Combinatorial analysis --- Mathematics --- Physical Sciences & Mathematics --- Algebra --- Combinatorial analysis. --- Algorithms. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Algorism --- Combinatorics --- Mathematics. --- Data structures (Computer science). --- Graph theory. --- Graph Theory. --- Optimization. --- Data Structures. --- Algorithm Analysis and Problem Complexity. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Arithmetic --- Foundations --- Data structures (Computer scienc. --- Computer software. --- Software, Computer --- Computer systems --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Topology --- Extremal problems

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Complex Networks is a newly emerging field with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. There has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines ranging from mathematics and computer science to the social and biological sciences. Optimization of complex networks with real-world applications requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. The Handbook of Optimization in Complex Networks: Theory and Applications provides the basic theory of these networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks.   The volume features a wide range of applications and optimization problems derived from research areas such as computer science, operations research, cellular and molecular chemistry, brain physiology, epidemiology, and ecology. This volume, as well as its companion (The Handbook of Optimization in Complex Networks: Communication and Social Networks ISBN: 978-1-4614-0856-7) is an excellent resource for graduate students, researchers, and practitioners who wish to learn about the most up to date theory and applications on optimization of complex real-world networks.  .

Computational complexity -- Handbooks, manuals, etc. --- Mathematical optimization -- Handbooks, manuals, etc. --- Network analysis (Planning) -- Handbooks, manuals, etc. --- Mathematical optimization --- Computational complexity --- Network analysis (Planning) --- Civil & Environmental Engineering --- Sociology & Social History --- Social Sciences --- Engineering & Applied Sciences --- Social Change --- Operations Research --- Information networks --- Databases --- Data banks --- Data bases --- Databanks --- Database systems --- Automated information networks --- Networks, Information --- Mathematics. --- Computer communication systems. --- Mathematical optimization. --- Electrical engineering. --- Optimization. --- Computer Communication Networks. --- Communications Engineering, Networks. --- Computer files --- Electronic information resources --- Information services --- Information storage and retrieval systems --- Telecommunication. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Electric engineering --- Engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Distributed processing

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The chapters in this book, written by international experts from different fields of architecture and engineering, are devoted to recent interdisciplinary works in a variety of subjects related to sustainable architecture and engineering, environmental modeling, behavioral science and public health. The invited contributions focus on new ideas, concepts and research work with multidisciplinary applications.   Special features of this volume include indoor and urban design impacts on human comfort, modeling and assessment of multi-scale design dynamics, as well as new results from diverse areas of research spanning from architecture and engineering to neuroscience and public health.   Sustainable Environmental Design in Architecture is intended for graduate students and researchers of architecture, engineering, neuroscience, public health, social and computational sciences, architectural modeling and related fields.

Architecture -- Environmental aspects. --- Sustainable architecture. --- Sustainable architecture --- Architecture --- Civil & Environmental Engineering --- Art, Architecture & Applied Arts --- Engineering & Applied Sciences --- Operations Research --- Environmental aspects --- Environmental aspects. --- Eco-architecture --- Environmentally conscious architecture --- Environmentally friendly architecture --- Green architecture --- Green building design --- Green design (Buildings) --- Sustainable design (Buildings) --- Mathematics. --- Applied mathematics. --- Engineering mathematics. --- Operations research. --- Management science. --- Engineering design. --- Civil engineering. --- Environmental health. --- Sustainable development. --- Operations Research, Management Science. --- Engineering Design. --- Environmental Health. --- Applications of Mathematics. --- Sustainable Development. --- Civil Engineering. --- Sustainable design --- Environmental Medicine. --- Engineering --- Public works --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Math --- Science --- Design, Engineering --- Industrial design --- Strains and stresses --- Design --- Engineering analysis --- Mathematical analysis --- Environmental quality --- Health --- Health ecology --- Public health --- Environmental engineering --- Health risk assessment --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Mathematics --- Health aspects

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The volume is dedicated to Stephen Smale on the occasion of his 80th birthday. Besides his startling 1960 result of the proof of the Poincaré conjecture for all dimensions greater than or equal to five, Smale’s ground breaking contributions invarious fields in Mathematics have marked the second part of the 20th century and beyond. Stephen Smale has done pioneering work in differential topology, global analysis, dynamical systems, nonlinear functional analysis, numerical analysis, theory of computation and machine learning as well as applications in the physical and biological sciences and economics. In sum, Stephen Smale has manifestly broken the barriers among the different fields of mathematics and dispelled some remaining prejudices. He is indeed a universal mathematician. Smale has been honored with several prizes and honorary degrees including, among others, the Fields Medal(1966), The Veblen Prize (1966), the National Medal of Science (1996) and theWolf Prize (2006/2007).

Mathematics -- Analysis. --- Mathematics -- History. --- Mathematics. --- Mathematics --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Applied Mathematics --- Mathematics - General --- Mathematical Theory --- Differential topology. --- Nonlinear functional analysis. --- Math --- Operations research. --- Decision making. --- Applied mathematics. --- Engineering mathematics. --- Mathematical optimization. --- Applications of Mathematics. --- Operation Research/Decision Theory. --- Optimization. --- Science --- Functional analysis --- Nonlinear theories --- Geometry, Differential --- Topology --- Operations Research/Decision Theory. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Engineering --- Engineering analysis --- Decision making

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This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 11–12, 2010 a workshop entitled ‘Optimization and Data Analysis in Biomedical Informatics’ was organized at The Fields Institute. Following this event, invited contributions were gathered based on the talks presented at the workshop, and additional invited chapters were solicited from leading experts. In this publication, the authors share their expertise in the form of state-of-the-art research and review chapters, bringing together researchers from different disciplines and emphasizing the value of mathematical methods in the areas of clinical sciences. This work is targeted to applied mathematicians, computer scientists, industrial engineers, and clinical scientists who are interested in exploring emerging and fascinating interdisciplinary topics of research. It is designed to further stimulate and enhance fruitful collaborations between scientists from different disciplines.

Bioinformatics. --- Computational biology. --- Medical informatics. --- Mathematical analysis --- Bioinformatics --- Medicine --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Health & Biological Sciences --- Operations Research --- Medical & Biomedical Informatics --- Applied Mathematics --- Mathematics --- Data processing --- Bio-informatics --- Biological informatics --- Clinical informatics --- Health informatics --- Medical information science --- Mathematics. --- Biochemical engineering. --- Health informatics. --- Data mining. --- Mathematical optimization. --- Optimization. --- Data Mining and Knowledge Discovery. --- Health Informatics. --- Biochemical Engineering. --- Biology --- Information science --- Computational biology --- Systems biology --- Medical records --- Data processing. --- Bio-process engineering --- Bioprocess engineering --- Biochemistry --- Biotechnology --- Chemical engineering --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Medical care