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Machine Learning for Model Order Reduction, Khaled Salah Mohamed


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Цена: 16769.00р.
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При оформлении заказа до: 2025-09-29
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Автор: Khaled Salah Mohamed
Название:  Machine Learning for Model Order Reduction
ISBN: 9783030093075
Издательство: Springer
Классификация:



ISBN-10: 3030093077
Обложка/Формат: Soft cover
Страницы: 93
Вес: 0.18 кг.
Дата издания: 2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 39 tables, color; xi, 93 p.
Размер: 234 x 156 x 6
Читательская аудитория: General (us: trade)
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior. The author describes techniques to reduce significantly the time required for simulations involving large-scale ordinary differential equations, which sometimes take several days or even weeks. This method is called model order reduction (MOR), which reduces the complexity of the original large system and generates a reduced-order model (ROM) to represent the original one. Readers will gain in-depth knowledge of machine learning and model order reduction concepts, the tradeoffs involved with using various algorithms, and how to apply the techniques presented to circuit simulations and numerical analysis.
Introduces machine learning algorithms at the architecture level and the algorithm levels of abstraction;Describes new, hybrid solutions for model order reduction;Presents machine learning algorithms in depth, but simply;Uses real, industrial applications to verify algorithms.

Дополнительное описание: Chapter1: Introduction.- Chapter2: Bio-Inspired Machine Learning Algorithm: Genetic Algorithm.- Chapter3: Thermo-Inspired Machine Learning Algorithm: Simulated Annealing.- Chapter4: Nature-Inspired Machine Learning Algorithm: Particle Swarm Optimization,



Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications

Автор: Belyadi Hoss, Haghighat Alireza
Название: Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications
ISBN: 0128219297 ISBN-13(EAN): 9780128219294
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание:

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.

Quantum Optics

Название: Quantum Optics
ISBN: 3319290355 ISBN-13(EAN): 9783319290355
Издательство: Springer
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Цена: 10448.00 р.
Наличие на складе: Нет в наличии.

Описание: Einstein's Theory of Atom-Radiation Interaction.- Atom-Field Interaction: Semi classical Approach.- Quantization of the Electromagnetic Field.- States of the Electromagnetic Field I.- States of the Electromagnetic Field II.- Quantum Theory of Coherence.- Phase Space Description.- Atom-Field Interaction.- System-Reservoir Interactions.- Resonance Fluorescence.- Quantum Laser Theory: Master Equation Approach.- Quantum Laser Theory: Langevin Approach.- Quantum Noise Reduction 1.- Quantum Noise Reduction 2.- Quantum Phase.- Quantum Trajectories.- Atom Optics.- Measurements, Quantum Limits and All That.- Trapped Ions.- Decoherence.- Quantum Bits, Entanglement and Applications.- Quantum Correlations.- Quantum Cloning and Processing.- Appendices: Operator Relations.- The Method of Characteristics.- Proof.- Stochastic Processes in a Nutshell.- Derivation of the Homodyne Stochastic Schrцdinger Differential Equation.- Fluctuations.- Discrimination.- The No-Cloning Theorem.- The Universal Quantum Cloning Machine.- Hints to Solve the Problems.- Index.

Offset Reduction Techniques in High-Speed Analog-to-Digital Converters

Автор: Pedro M. Figueiredo; Jo?o C. Vital
Название: Offset Reduction Techniques in High-Speed Analog-to-Digital Converters
ISBN: 9048181925 ISBN-13(EAN): 9789048181926
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This volume analyzes, describes the design, and presents test results of Analog-to-Digital Converters employing the three main high-speed architectures: flash, two-step flash and folding and interpolation. The authors review the pros and cons of each one.

System Reduction for Nanoscale IC Design

Автор: Peter Benner
Название: System Reduction for Nanoscale IC Design
ISBN: 3319072358 ISBN-13(EAN): 9783319072357
Издательство: Springer
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Цена: 12577.00 р.
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Описание:

Preface.- 1 Model order reduction of integrated circuits in electrical networks: Michael Hinze, Martin Kunkel, Ulrich Matthes, and Morten Vierling.- 2 Element-based model reduction in circuit simulation: Andreas Steinbrecher and Tatjana Stykel.- 3 Reduced Representation of Power Grid Models: Peter Benner and Andrй Schneider.- 4 Coupling of numeric/symbolic reduction methods for generating parametrized models of nanoelectronic systems: Oliver Schmidt, Matthias Hauser, and Patrick Lang.- 5 Low-Rank Cholesky Factor Krylov Subspace Methods for Generalized Projected Lyapunov Equations: Matthias Bollhцfer and Andrй K. Eppler.- Index.

Decreasing Fuel Consumption and Exhaust Gas Emissions in Transportation

Автор: Michael Palocz-Andresen
Название: Decreasing Fuel Consumption and Exhaust Gas Emissions in Transportation
ISBN: 3642429831 ISBN-13(EAN): 9783642429835
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book examines the reduction of combustion gases in vehicles. It discusses technological solutions as well as the consequences of international legislation and their effects on the environmental and climate protection in the area of the mobility.

Reduction of Nonlinear Control Systems

Автор: V.I. Elkin
Название: Reduction of Nonlinear Control Systems
ISBN: 0792356233 ISBN-13(EAN): 9780792356233
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This monograph is devoted to methods of reduction of nonlinear control systems to a simpler form, for example decomposition into systems of lesser dimension. The approach centres on the immersion of control systems into some differential geometric category.

Power Supply Testing Handbook

Автор: Earl Crandall
Название: Power Supply Testing Handbook
ISBN: 041208841X ISBN-13(EAN): 9780412088414
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Now, more than ever, there is an urgency for a comprehensive handbook on power supply testing that will fulfill the reference needs of the wide variety of professionals testing power supplies, including designers, manufacturers, purchasers, and field service organizations.

Symbolic Analysis and Reduction of VLSI Circuits

Автор: Zhanhai Qin; Chung-Kuan Cheng
Название: Symbolic Analysis and Reduction of VLSI Circuits
ISBN: 1441936718 ISBN-13(EAN): 9781441936714
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Symbolic analysis is an intriguing topic in VLSI designs.The analysis methods are crucial for the applications to the parasitic reduction and analog circuit evaluation.

Low-Power Deep Sub-Micron CMOS Logic

Автор: P. van der Meer; A. van Staveren; Arthur H.M. van
Название: Low-Power Deep Sub-Micron CMOS Logic
ISBN: 1475710577 ISBN-13(EAN): 9781475710571
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание: 1 Power-dissipation trends in CMOS circuits Shrinking device geometry, growing chip area and increased data-processing speed performance are technological trends in the integrated circuit industry to enlarge chip functionality.

Modelling and Control Design of Vibration Reduction Systems: Methods and Procedures of Selecting Vibro-Isolation Properties

Автор: Krzyzynski Tomasz, Maciejewski Igor, Meyer Lutz
Название: Modelling and Control Design of Vibration Reduction Systems: Methods and Procedures of Selecting Vibro-Isolation Properties
ISBN: 3030030466 ISBN-13(EAN): 9783030030469
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book describes the modelling and optimisation of vibration reduction systems in an integrated fashion using nonlinear equations of motion. It proposes an effective optimisation method for determining the basic characteristics of the non-linear visco-elastic elements used in passive vibration reduction systems. In the case of semi-active and active vibration isolators, a design process of the advanced control systems is proposed that makes possible to optimise the controller settings relatively to the selected vibro-isolation criteria. The approach developed here is subsequently tested by means of experimental investigations conducted on various sample vibration reduction systems: passive, semi-active and active. The book presents a biomechanical modelling approach that allows users to select the properties of vibro-isolation systems for different types of oscillation and different optimisation criteria – and can significantly reduce the harmful vibrations that can affect the human body in the process. Further, the book equips readers to evaluate the viscoelastic characteristics of passive systems and design control systems for semi-active and active systems. Modelling and Control Design of Vibration Reduction Systems offers a valuable guide for researchers and practitioners alike. It also provides students and academics with systematic information on the procedures to be followed in the design process for semi-active or active vibration reduction systems.

System Reduction for Nanoscale IC Design

Автор: Peter Benner
Название: System Reduction for Nanoscale IC Design
ISBN: 3319791540 ISBN-13(EAN): 9783319791548
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание:

Preface.- 1 Model order reduction of integrated circuits in electrical networks: Michael Hinze, Martin Kunkel, Ulrich Matthes, and Morten Vierling.- 2 Element-based model reduction in circuit simulation: Andreas Steinbrecher and Tatjana Stykel.- 3 Reduced Representation of Power Grid Models: Peter Benner and Andrй Schneider.- 4 Coupling of numeric/symbolic reduction methods for generating parametrized models of nanoelectronic systems: Oliver Schmidt, Matthias Hauser, and Patrick Lang.- 5 Low-Rank Cholesky Factor Krylov Subspace Methods for Generalized Projected Lyapunov Equations: Matthias Bollhцfer and Andrй K. Eppler.- Index.

Signal Processing Techniques for Power Efficient Wireless Communication Systems

Автор: Fernando Gregorio; Gustavo Gonz?lez; Christian Sch
Название: Signal Processing Techniques for Power Efficient Wireless Communication Systems
ISBN: 3030324362 ISBN-13(EAN): 9783030324360
Издательство: Springer
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Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In the second part, several schemes of compensation and/or reduction of imperfections are explored, including linearization of power amplifiers, compensation of the characteristics of analog-to- digital converters and CFO compensation for OFDM modulation.


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