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An Introduction to Nonlinear Optimization Theory

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ISBN: 9783110426038 9783110427356 Year: Pages: 318 DOI: 10.2478/9783110426045 Language: English
Publisher: De Gruyter
Subject: Mathematics
Added to DOAB on : 2015-04-13 10:31:15
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The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization. Starting with the case of differentiable data and the classical results on constrained optimization problems, and continuing with the topic of nonsmooth objects involved in optimization theory, the book concentrates on both theoretical and practical aspects of this field. This book prepares those who are engaged in research by giving repeated insights into ideas that are subsequently dealt with and illustrated in detail.

Electric Power Systems Research

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ISBN: 9783038424048 9783038424055 Year: Pages: VIII, 364 DOI: 10.3390/books978-3-03842-404-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2017-06-09 09:42:57
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This book contains 21 research papers, one review and one editorial focusing on studies in the field of electric power systems research in 2016. These 23 published papers can be classified into five categories: generation systems; transmission systems; distribution systems; end-users; and the power market. Among these, the subjects of generation and distribution systems has caused the most concern due to the realization of smart grids. Papers presented in this book cover research, the development of new procedures or components, an original application of existing knowledge, or new design approaches. The authors of the published articles are from a variety of Asian, North American, and European countries. This book shows that authors in China are the most active and their research covers all of the above-mentioned areas.

Optimization in Control Applications

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ISBN: 9783038974475 9783038974482 Year: Pages: 256 DOI: 10.3390/books978-3-03897-448-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Mathematics
Added to DOAB on : 2019-01-10 11:56:17
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Mathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most-used tools in modern control theory for computing the control law, adjusting the controller parameters (tuning), model fitting, and finding suitable conditions in order to fulfill a given closed-loop property, among others. In the simplest case, optimization consists of maximizing or minimizing a function by systematically choosing input values from a valid input set and computing the function value. Nevertheless, real-world control systems need to comply with several conditions and constraints that have to be taken into account in the problem formulation—these represent challenges in the application of the optimization algorithms.The aim of this Special Issue is to offer the state-of-the-art of the most advanced optimization techniques (online and offline) and their applications in control engineering.]

Optimization of Hot-Electron Bolometers for THz Radiation

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Book Series: Karlsruher Schriftenreihe zur Supraleitung / Hrsg. Prof. Dr.-Ing. M. Noe, Prof. Dr. rer. nat. M. Siegel ISSN: 18691765 ISBN: 9783731500667 Year: Volume: 8 Pages: IX, 127 p. DOI: 10.5445/KSP/1000035742 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:57
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Hot-electron bolometers are fast and low noise radiation detectors which can be used for many different applications. The aim of this work was to optimize the fabrication process of hot-electron bolometers and gain a deeper understanding of the underlying processes. To achieve this, the fabrication of the superconducting thin films was optimized and the superconducting properties of the films were analyzed. Detectors fabricated using the results showed a record value for the noise temperature.

Distillation Control, Optimization, and Tuning: Fundamentals and Strategies

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ISBN: 9781439857489 Year: Pages: 144 Language: English
Publisher: Taylor & Francis
Subject: Mathematics
Added to DOAB on : 2020-07-29 23:58:46
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Emphasis on improved quality and performance of distilled products and the demand for reduced operating costs place a heavy burden on both the personnel responsible for profitability and the manufacturing department charged with operating the processing equipment. There have been dramatic improvements in the computer software and hardware used to simulate and model the distillation process and potential response to experimentation, but mastering the art of distillation process and control still requires solid understanding of a large body of information. With a focus on achieving product purity at low cost, Distillation Control, Optimization, and Tuning: Fundamentals and Strategies highlights core concepts. These include process variables for continuous binary distillation columns and the four basic control strategies, the distillate and bottoms product quality performance objectives, and the tuning of process control loops. Without dwelling on complex mathematical descriptions, the book presents the fundamentals of process control of a distillation column as a separation and purification unit operation. It covers the concepts and functional criteria that are critical to successful implementation of process control, as well as measurement and improvement of product quality performance. It describes how process control loops for distillation columns can be tuned for stable operation, with a balance between minimum variability from setpoint changes and excellent response to load disturbances. Designed for students, engineers, technicians, and plant operators alike, this book emphasizes the prevailing need to strike a balance between the details of hypotheses and good engineering judgment. The author outlines learning objectives at the beginning of each chapter and includes chapter-end summaries, exercises, and references to help readers acquire essential knowledge and understanding. The result is a resource that will inform future decisions for the design, operation, and troubleshooting of distillation process control systems.

Intelligent Business Process Optimization for the Service Industry

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ISBN: 9783866444546 Year: Pages: 310 p. DOI: 10.5445/KSP/1000014466 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-30 20:01:57
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The company's sustainable competitive advantage derives from its capacity to create value for customers and to adapt the operational practices to changing situations. Business processes are the heart of each company. Therefore process excellence has become a key issue. This book introduces a novel approach focusing on the autonomous optimization of business processes by applying sophisticated machine learning techniques such as Relational Reinforcement Learning and Particle Swarm Optimization.

Polymer Reactor Modeling, Design and Monitoring

ISBN: 9783038422549 9783038422556 Year: Pages: X, 204 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Added to DOAB on : 2016-12-19 11:47:52
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Polymers range from synthetic plastics, such as polyacrylates, to natural biopolymers, such as proteins and DNA. The large molecular mass of polymers and our ability to manipulate their compositions and molecular structures have allowed for producing synthetic polymers with attractive properties. new polymers with remarkable characteristics are synthesized. Because of the huge production volume of commodity polymers, a little improvement in the operation of commodity-polymer processes can lead to significant economic gains. On the other hand, a little improvement in the quality of specialty polymers can lead to substantial increase in economic profits.

Real-Time Optimization

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ISBN: 9783038424499 9783038424482 Year: Pages: VIII, 246 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2017-07-26 13:55:59
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Process optimization is the method of choice for improving the performance of industrial processes, while enforcing the satisfaction of safety and quality constraints. Long considered as an appealing tool but only applicable to academic problems, optimization has now become a viable technology. Real-time optimization integrates process measurements into the optimization framework. This way, process optimization does not rely exclusively on a (possibly inaccurate) process model but also on process information stemming from measurements. This Special Issue on Real-Time Optimization includes both methodological and practical contributions. All seven methodological contributions deal with explicit schemes that repeat the optimization when new measurements become available. The methods covered include modifier adaptation, economic MPC and the two-step approach of parameter identification and numerical optimization. The six contributions that deal with applications cover various fields including refineries, well networks, combustion and membrane filtration.

Selbstoptimierung

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ISBN: 9783631676622 9783653070712 9783631704400 Year: DOI: 10.3726/978-3-653-07071-2 Language: German
Publisher: Peter Lang International Academic Publishing Group Grant: OGeSoMo||Knowledge Unlatched - 103668
Subject: Languages and Literatures
Added to DOAB on : 2019-01-17 11:41:37
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Lebenskunst hat Konjunktur: Offenbar ist der Traum, das Leben als Gesamtkunstwerk einzurichten, zur ethischen Maxime geworden. Beteiligt ist dabei seit der Antike das Motiv von Selbsterforschung bzw. Selbstbesserung, das über die Frühe Neuzeit bis in die Gegenwart wirksam geblieben ist. Tagebücher sind dabei ein notwendiges Begleitmedium gewesen und haben wechselhafte Formen angenommen, die von religiösen, wirtschaftlichen, psychologischen und medizinischen Aufschreibesystemen bestimmt worden sind. In diesem umfassenden mediologischen Sinn untersucht der Autor Programme der Selbstschrift und stellt diese an Beispielen dar, die sich von Pacioli über Pepys, Leibniz, Herder, Moritz, Goethe, Hebbel, Schmitt, Jünger oder Rainald Goetz bis in die Gegenwart der Social Media erstrecken.

Large Scale Inverse Problems. Computational Methods and Applications in the Earth Sciences

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Book Series: Radon Series on Computational and Applied Mathematics ISSN: 18653707 ISBN: 9783110282269 Year: Volume: 13 Pages: 212,00 DOI: 10.1515/9783110282269 Language: English
Publisher: De Gruyter Grant: Knowledge Unlatched - 102369
Subject: Mathematics
Added to DOAB on : 2019-04-25 11:21:03
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This book is thesecond volume of a three volume series recording the Radon Special Semester 2011 on Multiscale Simulation &amp Analysis in Energy and the Environment that took placein Linz, Austria, October 3-7, 2011. This volume addresses the common ground in the mathematical and computational procedures required for large-scale inverse problems and data assimilation in forefront applications. The solution of inverse problems is fundamental to a wide variety of applications such as weather forecasting, medical tomography, and oil exploration. Regularisation techniques are needed to ensure solutions of sufficient quality to be useful, and soundly theoretically based. This book addresses the common techniques required for all the applications, and is thus truly interdisciplinary. Thiscollection of surveyarticlesfocusses onthe large inverse problems commonly arising in simulation and forecasting in the earth sciences. For example, operational weather forecasting models have between 107 and 108 degrees of freedom. Even so, these degrees of freedom represent grossly space-time averaged properties of the atmosphere. Accurate forecasts require accurate initial conditions. With recent developments in satellite data, there are between 106 and 107 observations each day. However, while these also represent space-time averaged properties, the averaging implicit in the measurements is quite different from that used in the models. In atmosphere and ocean applications, there is a physically-based model available which can be used to regularise the problem. We assume that there is a set of observations with known error characteristics available over a period of time. The basi

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