Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Social policy --- System theory --- Large scale systems --- Social systems --- Large scale systems. --- Social policy. --- Social systems. --- System theory. --- Social Conditions

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Large scale systems --- System analysis --- System theory --- Systèmes de grandes dimensions --- Systèmes, Théorie des --- Systèmes, Analyse de --- Périodiques. --- Large scale systems. --- System analysis. --- System theory. --- Systems, Theory of --- Systems science --- Network theory --- Systems analysis --- Systems, Large scale --- Engineering systems --- Science --- Mathematical optimization --- Philosophy --- Systems Theory. --- Sociology. --- Action Research. --- Network analysis --- Network science

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

There is increasing need to solve large-scale complex optimization problems in a wide variety of science and engineering applications, including designing telecommunication networks for multimedia transmission, planning and scheduling problems in manufacturing and military operations, or designing nanoscale devices and systems. Advances in technology and information systems have made such optimization problems more and more complicated in terms of size and uncertainty. Nested Partitions Method, Theory and Applications provides a cutting-edge research tool to use for large-scale, complex systems optimization. The Nested Partitions (NP) framework is an innovative mix of traditional optimization methodology and probabilistic assumptions. An important feature of the NP framework is that it combines many well-known optimization techniques, including dynamic programming, mixed integer programming, genetic algorithms and tabu search, while also integrating many problem-specific local search heuristics. The book uses numerous real-world application examples, demonstrating that the resulting hybrid algorithms are much more robust and efficient than a single stand-alone heuristic or optimization technique. This book aims to provide an optimization framework with which researchers will be able to discover and develop new hybrid optimization methods for successful application of real optimization problems. Researchers and practitioners in management science, industrial engineering, economics, computer science, and environmental science will find this book valuable in their research and study. Because of its emphasis on practical applications, the book can appropriately be used as a textbook in a graduate course. .

Large scale systems. --- Mathematical optimization --- Large scale systems --- Management Theory --- Operations Research --- Management --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Business & Economics --- Data processing. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Systems, Large scale --- Mathematics. --- Production management. --- Operations research. --- Decision making. --- Computer mathematics. --- Mathematical models. --- Management science. --- Optimization. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Operations Management. --- Computational Mathematics and Numerical Analysis. --- Mathematical Modeling and Industrial Mathematics. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Engineering systems

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This edited volume provides insights into and tools for the modeling, analysis, optimization, and control of large-scale networks in the life sciences and in engineering. Large-scale systems are often the result of networked interactions between a large number of subsystems, and their analysis and control are becoming increasingly important. The chapters of this book present the basic concepts and theoretical foundations of network theory and discuss its applications in different scientific areas such as biochemical reactions, chemical production processes, systems biology, electrical circuits, and mobile agents. The aim is to identify common concepts, to understand the underlying mathematical ideas, and to inspire discussions across the borders of the various disciplines.  The book originates from the interdisciplinary summer school “Large Scale Networks in Engineering and Life Sciences” hosted by the International Max Planck Research School Magdeburg, September 26-30, 2011, and will therefore be of interest to mathematicians, engineers, physicists, biologists, chemists, and anyone involved in the network sciences. In particular, due to their introductory nature the chapters can serve individually or as a whole as the basis of graduate courses and seminars, future summer schools, or as reference material for practitioners in the network sciences.  .

Large scale systems --- Differential equations --- Mathematical models. --- 517.91 Differential equations --- Systems, Large scale --- Engineering systems --- System analysis --- Mathematics. --- Differential Equations. --- Computer science. --- Applications of Mathematics. --- Ordinary Differential Equations. --- Computational Science and Engineering. --- Informatics --- Science --- Math --- Applied mathematics. --- Engineering mathematics. --- Differential equations. --- Computer mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- Engineering --- Engineering analysis --- Mathematical analysis --- Data processing.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Modern control systems are complex in the sense of implementing numerous functions, such as process variable processing, digital control, process monitoring and alarm indication, graphic visualization of process running, or data exchange with other systems or databases. This book conveys a description of the developed DiaSter system as well as characteristics of advanced original methods of modeling, knowledge discovery, simulator construction, process diagnosis, as well as predictive and supervision control applied in the system. The system allows early recognition of abnormal states of industrial processes along with faults or malfunctions of actuators as well as technological and measuring units. The universality of solutions implemented in DiaSter facilitates its broad application, for example, in the power, chemical, pharmaceutical, metallurgical and food industries. The system is a world-scale unique solution, and due to its open architecture it can be connected practically with any other control systems. The monograph presents theoretical and practical results of research into fault diagnosis and control conducted over many years within the cooperation of Polish research teams from the Warsaw University of Technology, the University of Zielona Góra, the Silesian University of Technology in Gliwice, and the Technical University of Rzeszów.             The book will be of great interest to researchers and advanced students in automatic control, technical diagnostics and computer engineering, and to engineers tasked with the development of advanced control systems of complex industrial processes.

Intelligent control systems. --- Large scale systems. --- Systems engineering. --- Process control --- Systems engineering --- Engineering & Applied Sciences --- Mechanical Engineering --- Mechanical Engineering - General --- Applied Mathematics --- Process control. --- Engineering. --- System theory. --- Control engineering. --- Control. --- Systems Theory, Control. --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Control of industrial processes --- Industrial process control --- Automatic control --- Manufacturing processes --- Quality control --- Design and construction