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Titlebook: Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Autom; Anna Pietrenko-Dabrowska,Slawomir Ko

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Response Features for Global and Multi-objective Optimization,ocal feature-based optimization of high-frequency components for various types of structures and responses, whereas in Chap. ., the employment of the response feature technology for reliability improvement of local optimization procedures has been considered. The examples described in Chaps. . and .
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Feature-Based Uncertainty Quantification,of the fabrication yield and its optimization. We start by recalling formulation of the yield estimation and enhancement task. Subsequent sections describe algorithms for yield optimization, where response features are employed to reformulate the statistical analysis process, thereby accelerating it
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Generalized Response Features,ty. These and other benefits have been extensively discussed in this book in the context of local and global parametric optimization, general-purpose surrogate modeling, multicriterial design, and uncertainty quantification. At the same time, it has been mentioned that the response feature technolog
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Summary,bal parametric optimization, multi-criterial design, uncertainty quantification, and general-purpose surrogate modeling. We discuss the computational and reliability-related advantages of response feature approaches, implementation issues, limitations of the technology along with possible mitigation
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f theoretical foundations and engineering-oriented methods.D.This book discusses  response feature technology and its applications to modeling, optimization, and computer-aided design of high-frequency structures including antenna and microwave components. By exploring the specific structure of the
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Introduction, concept of response feature technology is outlined, as well as a brief discussion of its properties and applicability. The overall outline of the book topics and scope is also elaborated on along with the book structure.
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