Optimization Techniques, K. Iracki; K. Malanowski; S. Walukiewicz
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: Honglei Xu; Kok Lay Teo; Yi Zhang Название: Optimization and Control Techniques and Applications ISBN: 3662525089 ISBN-13(EAN): 9783662525081 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents advances in state-of-the-art solution methods and their applications to real life practical problems in optimization, control and operations research.
Автор: Gerard Olivar Tost; Olga Vasilieva Название: Analysis, Modelling, Optimization, and Numerical Techniques ISBN: 3319125826 ISBN-13(EAN): 9783319125824 Издательство: Springer Рейтинг: Цена: 20962.00 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.
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.
Автор: K. Iracki; K. Malanowski; S. Walukiewicz Название: Optimization Techniques ISBN: 3540100814 ISBN-13(EAN): 9783540100812 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book provides a clear review of static and dynamic architecture optimization strategies in the field of reconfigurable computing. It includes a number of case studies and a quantitative analysis of the DIM architecture.
Автор: Alice Wang; Samuel Naffziger Название: Adaptive Techniques for Dynamic Processor Optimization ISBN: 1441945539 ISBN-13(EAN): 9781441945532 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is about various adaptive and dynamic techniques used to optimize processor power and performance. The book looks at the underlying process technology for adaptive designs and then examines different circuits, architecture and software that address the different aspects.
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.
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.
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.
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