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Sparsity

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Release : 2012-04-24
Genre : Mathematics
Kind : eBook
Book Rating : 752/5 ( reviews)

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Book Synopsis Sparsity by : Jaroslav Nešetřil

Download or read book Sparsity written by Jaroslav Nešetřil. This book was released on 2012-04-24. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book devoted to the systematic study of sparse graphs and sparse finite structures. Although the notion of sparsity appears in various contexts and is a typical example of a hard to define notion, the authors devised an unifying classification of general classes of structures. This approach is very robust and it has many remarkable properties. For example the classification is expressible in many different ways involving most extremal combinatorial invariants. This study of sparse structures found applications in such diverse areas as algorithmic graph theory, complexity of algorithms, property testing, descriptive complexity and mathematical logic (homomorphism preservation,fixed parameter tractability and constraint satisfaction problems). It should be stressed that despite of its generality this approach leads to linear (and nearly linear) algorithms. Jaroslav Nešetřil is a professor at Charles University, Prague; Patrice Ossona de Mendez is a CNRS researcher et EHESS, Paris. This book is related to the material presented by the first author at ICM 2010.

Sparsity Methods for Systems and Control

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Release : 2020-09-30
Genre :
Kind : eBook
Book Rating : 247/5 ( reviews)

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Book Synopsis Sparsity Methods for Systems and Control by : Masaaki Nagahara

Download or read book Sparsity Methods for Systems and Control written by Masaaki Nagahara. This book was released on 2020-09-30. Available in PDF, EPUB and Kindle. Book excerpt: The method of sparsity has been attracting a lot of attention in the fields related not only to signal processing, machine learning, and statistics, but also systems and control. The method is known as compressed sensing, compressive sampling, sparse representation, or sparse modeling. More recently, the sparsity method has been applied to systems and control to design resource-aware control systems. This book gives a comprehensive guide to sparsity methods for systems and control, from standard sparsity methods in finite-dimensional vector spaces (Part I) to optimal control methods in infinite-dimensional function spaces (Part II). The primary objective of this book is to show how to use sparsity methods for several engineering problems. For this, the author provides MATLAB programs by which the reader can try sparsity methods for themselves. Readers will obtain a deep understanding of sparsity methods by running these MATLAB programs. Sparsity Methods for Systems and Control is suitable for graduate level university courses, though it should also be comprehendible to undergraduate students who have a basic knowledge of linear algebra and elementary calculus. Also, especially part II of the book should appeal to professional researchers and engineers who are interested in applying sparsity methods to systems and control.

Sparsity and Its Applications

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Release : 1985-01-10
Genre : Mathematics
Kind : eBook
Book Rating : 729/5 ( reviews)

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Book Synopsis Sparsity and Its Applications by : David J. Evans

Download or read book Sparsity and Its Applications written by David J. Evans. This book was released on 1985-01-10. Available in PDF, EPUB and Kindle. Book excerpt: Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.

Statistical Learning with Sparsity

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Release : 2015-05-07
Genre : Business & Economics
Kind : eBook
Book Rating : 177/5 ( reviews)

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Book Synopsis Statistical Learning with Sparsity by : Trevor Hastie

Download or read book Statistical Learning with Sparsity written by Trevor Hastie. This book was released on 2015-05-07. Available in PDF, EPUB and Kindle. Book excerpt: Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl

Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications

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Kind : eBook
Book Rating : 582/5 ( reviews)

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Book Synopsis Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications by : Xiangrong Wang

Download or read book Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications written by Xiangrong Wang. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

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