Описание: This book presents a comprehensive review of the latest research and development trends for design optimization of mechanical elements and devices. The authors demonstrate optimization approaches using examples of various mechanical elements and devices.
Автор: Yuri Ermoliev; Roger J-B. Wets Название: Numerical Techniques for Stochastic Optimization ISBN: 3642648134 ISBN-13(EAN): 9783642648137 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One can identify two major types of mechanisms: the short term adaptive adjustments (defensive driving, mar- keting, inventory control, etc.) that are made after making some observations of the system`s parameters, and the long term anticipative actions (engineer- ing design, policy setting, allocation of resources, investment strategies, etc.).
Автор: Roberto Conti; Antonio Ruberti Название: Fifth Conference on Optimization Techniques. Rome 1973 ISBN: 3540066004 ISBN-13(EAN): 9783540066002 Издательство: Springer Рейтинг: Цена: 4890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: J. Stoer Название: Optimization Techniques II ISBN: 3540087087 ISBN-13(EAN): 9783540087083 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Yurij G. Evtushenko; J. Stoer Название: Numerical Optimization Techniques ISBN: 1461295300 ISBN-13(EAN): 9781461295303 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These methods were instrumented in a library of programs for an interactive system (DISO) at the Computing Center of the USSR Academy of Sciences, which can be used to solve a given complicated problem by a combination of appropriate methods in the interactive mode.
Автор: Gerard Olivar Tost; Olga Vasilieva Название: Analysis, Modelling, Optimization, and Numerical Techniques ISBN: 3319380354 ISBN-13(EAN): 9783319380353 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights recent compelling research results and trends in various aspects of contemporary mathematics, emphasizing applicabilitions to real-world situations.
Автор: Rainer Leupers Название: Code Optimization Techniques for Embedded Processors ISBN: 1441950109 ISBN-13(EAN): 9781441950109 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The building blocks of today`s and future embedded systems are complex intellectual property components, or cores, many of which are programmable processors. Due to the need for efficient embedded systems, this overhead must be very low in order to make compilers useful in practice.
Описание: Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.
Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
Описание: This volume encompasses the latest, innovative methods of testing three-dimensional integrated circuits, incorporating pre-bond and post-bond tests as well as the test optimization and scheduling necessary to ensure that 3D testing remains cost-effective.
Автор: Mongi A. Abidi; Andrei V. Gribok; Joonki Paik Название: Optimization Techniques in Computer Vision ISBN: 3319463632 ISBN-13(EAN): 9783319463636 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.
Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
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