£120.92

Springer - Piecewise Linear Modeling and Analysis Book

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Description

Piecewise Linear (PL) approximation is a fundamental technique used in the synthesis and analysis of electrical networks to represent non-linear behavior. This technical resource from Springer provides a deep look into how these descriptions can be optimized for efficiency. Effective modeling requires more than just accuracy; it requires data storage that is efficient and allows for the simple retrieval of stored information. This book addresses these needs by explaining various model descriptions designed to handle a large class of piecewise linear mappings. Readers will find a detailed exploration of possible model descriptions for efficient storage, beginning with the foundational Chua descriptions. This text is designed for those needing to understand how to manage complex piecewise linear functions within technical and computing frameworks, making it a valuable addition to your professional library.

Key Features

Explores efficient data storage methods for piecewise linear functions to optimize memory usage.

Provides methods for the simple retrieval of stored information within non-linear models.

Covers a wide class of piecewise linear mappings to support diverse technical applications.

Includes detailed explanations of Chua descriptions for foundational modeling knowledge.

Focuses on the practical synthesis and analysis of electrical networks through PL approximation.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
30 June 1998
Listed Since
15 February 2007

Barcode

No barcode data available

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