Описание: The papers are organized in topical sections on variability & statistical timing, circuit level techniques, power management, low power circuits & technology, system level techniques, power & timing optimization techniques, self-timed circuits, low power circuit analysis & optimization, and low power design studies.
Описание: Constituting the proceedings of the 12th International Workshop on Power and Timing Modeling, Optimization and Simulation, 2002, the papers have been organized into topical sections including: arithmetics; low-level modelling and characterization; asynchronous and adiabatic techniques.
Автор: Koziel Slawomir & Bekasiewicz Adrian Название: Multi-Objective Design Of Antennas Using Surrogate Models ISBN: 1786341476 ISBN-13(EAN): 9781786341471 Издательство: World Scientific Publishing Рейтинг: Цена: 17582.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic simulations, surrogate modeling techniques, and design space reduction methods. Based on contemporary research, it formulates multi-objective design tasks, highlights related challenges in the context of antenna design, and discusses solution approaches. Specific focus is on providing methodologies for handling computationally expensive simulation models of antenna structures in the sense of their multi-objective optimization. Also given is a summary of recent developments in antenna design optimization using variable-fidelity simulation models. Numerous examples of real-world antenna design problems are provided along with discussions and recommendations for the readers interested in applying the considered methods in their design work.
Written with researchers and students in mind, topics covered can also be applied across a broad spectrum of aeronautical, mechanical, electrical, biomedical and civil engineering. It is of particular interest to those dealing with optimization, computationally expensive design tasks and simulation-driven design.
Описание: Dieses aktuelle Referenzwerk behandelt numerische Optimierungsmethoden f 1/4r Str mungsmaschinen und die wichtigsten industriellen Anwendungen. Grundlagen sind umfangreiche Forschung und Erfahrung der Autoren. Die logischen Zusammenh nge, um den Bereich der numerischen Str mungssimulation (CFD) zu verstehen, werden anhand der Grundlagen der Str mungsmechanik, von Str mungsmaschinen und ihrer Komponenten erl utert. Im Anschluss folgt eine Einf 1/4hrung in Methoden der Ein- und Mehrzieloptimierung, die automatische Optimierung, in Ersatzmodelle und Entwicklungsalgorithmen. Das Fachbuch schlie Ÿt mit der ausf 1/4hrlichen Erkl rung von Designans tzen und Anwendungen f 1/4r Pumpen, Turbinen, Kompressoren und weiteren Systemen von Str mungsmaschinen. Der Nachdruck liegt hier bei Systemen f 1/4r erneuerbare Energien. - Die Autoren sind f 1/4hrende Experten des Fachgebiets. - Ein handliches Fachbuch zu Optimierungsmethoden mittels numerischer Str mungssimulation bei Str mungsmaschinen. - Beschreibt wichtige Anwendungsbereiche in der Industrie und enth lt Kapitel zu Systemen f 1/4r erneuerbaren Energien. Design Optimization of Fluid Machinery ist ein wichtiger Leitfaden f 1/4r Graduierte, Forscher und Ingenieure aus den Bereichen Str mungsmaschinen und zugeh rige Optimierungsmethoden. Als Fachbuch mit allem Wissenswerten zu dem Thema richtet es sich an Studenten h herer Semester der Fachrichtungen Maschinenbau und verwandter Bereiche der Str mungssimulation und Luft-/Raumfahrttechnik.
Описание: This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.
Автор: K. Antreich; R. Bulirsch; A. Gilg; P. Rentrop Название: Modeling, Simulation, and Optimization of Integrated Circuits ISBN: 3034894260 ISBN-13(EAN): 9783034894265 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In November 2001 the Mathematical Research Center at Oberwolfach, Germany, hosted the third Conference on Mathematical Models and Numerical Simulation in Electronic Industry. It brought together researchers in mathematics, electrical engineering and scientists working in industry.
The contributions to this volume try to bridge the gap between basic and applied mathematics, research in electrical engineering and the needs of industry.
Автор: Winfried Keiper; Anja Milde; Stefan Volkwein Название: Reduced-Order Modeling (ROM) for Simulation and Optimization ISBN: 3030091996 ISBN-13(EAN): 9783030091996 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.
Автор: Pandian Vasant; Igor Litvinchev; Jos? Antonio Marm Название: Modeling, Simulation, and Optimization ISBN: 3319889567 ISBN-13(EAN): 9783319889566 Издательство: Springer Рейтинг: Цена: 16070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume.
Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.
Описание: This proceedings volume highlights a selection of papers presented at the 7th International Conference on High Performance Scientific Computing, which took place in Hanoi, Vietnam, during March 19-23, 2018.
Описание: This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations.
Описание: Numerical Aspects of Model Order Reduction for Gas Transportation Networks (Grundel, S., Hornung, N. & Roggendorf, S.).- Parameter Studies for Energy Networks with Examples from Gas Transport (Clees, T.).- Fast Multi-Objective Aerodynamic Optimization Using Space-Mapping-Corrected Multi-Fidelity Models and Kriging Interpolation (Leifsson, L. et al.).- Assessment of Inverse and Direct Methods for Airfoil and Wing Design (Zhang, M. & Rizzi, A.W.).- Performance Optimization of EBG-Based Common Mode Filters for Signal Integrity Applications (Orlandi, A. et al.).- Unattended Design of Wide-Band Planar Filters using a Two-Step Aggressive Space Mapping (ASM) Optimization Algorithm (Boria, V. et al.).- Two-Stage Gaussian Process Modeling of Microwave Structures for Design Optimization (Jacobs, J.P. & Koziel, S.).- Efficient Reconfigurable Microstrip Patch Antenna Modeling Exploiting Knowledge Based Artificial Neural Networks (Simsek, M. & Aoad, A.).- Expedited Simulation-Driven Multi-Objective Design Optimization of Quasi-Isotropic Dielectric Resonator Antenna (Bekasiewicz, A. et al.).- Optimal Design of Photonic Crystal Nanostructures (Hassan, A.-K., Rafat, N. & Mohamed, A.S.A.).- Design Optimization of LNAs and Reflectarray Antennas using the Full-Wave Simulation based Artificial Intelligence Models with the Novel Metaheuristic Algorithms (Gьneş, F., Demirel, S. & Nesil, S.).- Stochastic Decision-Making in Waste Management Using a Firefly Algorithm-Driven Simulation-Optimization Approach for Generating Alternatives (Yeomans, J.S., Imanirad, R. & Yang, X.-S.).- Linear and Nonlinear System Identification using Evolutionary Optimisation (Worden, K. et al.).- A Surrogate-Model-Assisted Evolutionary Algorithm for Computationally Expensive Design Optimization Problems with Inequality Constraints (Liu, B., Zhang, Q. & Gielen, G.).- Sobol Indices for Dimension Adaptivity in Sparse Grids (Dwight, R.P., Desmedt, S.G.L., & Omrani, P.S.).
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