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Supply Chain Optimization captures the latest results in a segment of current research activity in supply chain management. This research area focuses on applying optimization techniques to supply chain management problems. The research papers that make up the volume provide a snapshot of state-of-the-art optimization methods within the field. This book presents rigorous modelling approaches for supply chain operations problems with a goal of improving supply chain performance (or the performance of some segment thereof). It contains high-quality works from leading researchers in the field whose expertise fits within this scope. The book provides a diverse blend of research topics and novel modelling and solution approaches for difficult classes of supply chain operations, planning, and design problems. Audience This book is intended for • researchers in supply chain management, applied operations research, and optimization; • industry practitioners in supply chain management with interests in operations management and operations research; • graduate students in supply chain management and optimization-related disciplines.

Business logistics. --- Delivery of goods. --- Store delivery services --- Transportation --- Parcel post --- Shipment of goods --- Supply chain management --- Industrial management --- Logistics --- Production management. --- Mathematical optimization. --- Operations research. --- Mathematics. --- Industrial procurement. --- Operations Management. --- Optimization. --- Operations Research/Decision Theory. --- Applications of Mathematics. --- Procurement. --- Math --- Science --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Buyer-supplier relations --- Buying, Industrial --- Industrial buying --- Industrial equipment --- Industrial purchasing --- Procurement, Industrial --- Purchasing, Industrial --- Supplier-buyer relations --- Purchasing --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Manufacturing management --- Decision making. --- Applied mathematics. --- Engineering mathematics. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Engineering --- Engineering analysis --- Decision making --- Mathematics

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The purpose of this book is to acquaint the reader with the developments in bilinear systems theory and its applications. Bilinear systems can be used to represent a wide range of physical, chemical, biological, and social systems, as well as manufacturing processes, which cannot be effectively modeled under the assumption of linearity. This book provides a unified approach for the identification and control of nonlinear complex objects that can be transformed into bilinear systems, with a focus on the control of open physical processes functioning in a non-equilibrium mode. The material is intended for graduate students, researchers, and specialists engaged in the fields of quantum and molecular computing, control of physical processes, biophysics, superconducting levitation, physical information science, mathematics, and engineering.

Mathematics. --- Optimization. --- Systems Theory, Control. --- Calculus of Variations and Optimal Control; Optimization. --- Vibration, Dynamical Systems, Control. --- Quantum Physics. --- Quantum Information Technology, Spintronics. --- Systems theory. --- Mathematical optimization. --- Quantum theory. --- Vibration. --- Mathématiques --- Optimisation mathématique --- Théorie quantique --- Vibration --- Bilinear forms. --- Nonlinear systems. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Systems, Nonlinear --- Forms, Bilinear --- System theory. --- Calculus of variations. --- Quantum physics. --- Quantum computers. --- Spintronics. --- Dynamical systems. --- Dynamics. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- System theory --- Forms (Mathematics) --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Physics --- Mechanics --- Thermodynamics --- Cycles --- Sound --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Fluxtronics --- Magnetoelectronics --- Spin electronics --- Spinelectronics --- Microelectronics --- Nanotechnology --- Computers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Statics --- Isoperimetrical problems --- Variations, Calculus of

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Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20–22, 2012. The purpose of this conference was to bring together scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant to the theory and practice of the dynamics of information systems. Dynamics of Information plays an increasingly critical role in our society. The influence of information on social, biological, genetic, and military systems must be better understood to achieve large advances in the capability and understanding of these systems. Applications are widespread and include: detection of terrorist networks, design of highly efficient businesses, computer networks, quantum entanglement, genome modeling, multi-robotic systems, and industrial and manufacturing safety. The book contains state-of-the-art work on theory and practice relevant to the dynamics of information systems. It covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers; presents important problems arising in service-oriented systems, such as dynamic composition and analysis of modern service-oriented information systems and estimation of customer service times on a rail network from GPS data; addresses the complexity of the problems arising in stochastic and distributed systems; and discusses modulating communication for improving multi-agent learning convergence. Network issues—in particular minimum-risk maximum-clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning—are described in later chapters.

Dynamics. --- Information networks -- Mathematics. --- Information theory -- Mathematics. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Information technology --- Mathematical analysis. --- Mathematical models. --- 517.1 Mathematical analysis --- Mathematical analysis --- IT (Information technology) --- Mathematics. --- Operations research. --- Decision making. --- Ergodic theory. --- System theory. --- Management science. --- Operations Research, Management Science. --- Dynamical Systems and Ergodic Theory. --- Systems Theory, Control. --- Operation Research/Decision Theory. --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Differentiable dynamical systems. --- Systems theory. --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Systems, Theory of --- Systems science --- Science --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Quantitative business analysis --- Operations research --- Statistical decision --- Decision making --- Philosophy --- Information theory. --- Electronic data processing --- Computer networks. --- Distributed processing.

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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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Software Engineering Techniques Applied to Agricultural Systems presents cutting-edge software engineering techniques for designing and implementing better agricultural software systems based on the object-oriented paradigm and the Unified Modeling Language (UML). The book is divided in two parts: The first part presents concepts of the object-oriented paradigm and the UML notation of these concepts, and the second part provides a number of examples of applications that use the material presented in the first part. The examples presented illustrate the techniques discussed, focusing on how to construct better models using objects and UML diagrams. More advanced concepts such as distributed systems and examples of how to build these systems are presented in the last chapter of the book. The book presents a step-by-step approach for modeling agricultural systems, starting with a conceptual diagram representing elements of the system and their relationships. Furthermore, diagrams such as sequential and collaboration diagrams are used to explain the dynamic and static aspects of the software system. Audience This book is intended for anyone involved in software development projects in agriculture, including managers, team leaders, developers and modellers of agricultural and environmental systems.

Agriculture --- Software engineering. --- Object-oriented programming (Computer science) --- UML (Computer science) --- Data processing. --- Computer science. --- Computer simulation. --- Agriculture. --- Computer Science. --- Software Engineering. --- Information Systems Applications (incl. Internet). --- Simulation and Modeling. --- Computer software engineering --- Engineering --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Informatics --- Science --- Unified Modeling Language (Computer science) --- Computer software --- Modeling languages (Computer science) --- Object-oriented methods (Computer science) --- Computer programming --- Document Object Model (Web site development technology) --- Development --- Information Technology --- Software Engineering