Grady Leo (50 results)

Soft cover. Condition: Near Fine. 1st Edition. First edition, first printing of the eleventh issue of Espionage Magazine. Featured are 12 short stories The F.B.I. by Rose M. Poole, The Red Boxes by Leo Whitaker, Churchkill by Chuck Meyer, Betrayal by K.L. Jones, Trouble in Tinseltown by William Schoell, Last Time Out by Rolle R. Rand, A Spy is Born by Gene KoKayKo, Black Light by Bill Knox, Puff the Magic Dragon by Michael W. Masters, Hello Again by David P. Grady, Holy War by Frank Laffitte, Who Dares Tell The President? By Charles Naccarato. Light age toning to the pages. In near fine condition.…

hardcover. Condition: Gut. 382 Seiten; 9781849962896.3 Gewicht in Gramm: 1.

hardcover. Condition: Very Good.

Condition: As New. Unread book in perfect condition.

hardcover. Condition: Gut. 570 Seiten; 9781439855072.3 Gewicht in Gramm: 2.

Condition: New.

Condition: New. pp. 570.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New. pp. 570.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Paperback. Condition: New.

Condition: New. pp. 570.

Condition: New. In English.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781849962896. …

Paperback. Condition: Brand New. reprint edition. 570 pages. 9.00x6.00x1.25 inches. In Stock.

Condition: New. In English.

Condition: New. In English.

Condition: New.

Kartoniert / Broschiert. Condition: New.

Condition: gut. 2010. Discrete Calculus: Applied Analysis on Graphs for Computational Science In englischer Sprache. pages.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of discrete calculus, also known as 'discrete exterior calculus', focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. In contrast to traditional goals of finding an accurate discretization of conventional multivariate calculus, discrete calculus establishes a separate, equivalent calculus that operates purely in the discrete space without any reference to an underlying continuous process.This unique text brings together into a single framework current research in the three areas of discrete calculus, complex networks, and algorithmic content extraction. Although there have been a few intersections in the literature between these disciplines, they have developed largely independently of one another, yet researchers working in any one of these three areas can strongly benefit from the tools and techniques being used in the others. Many example applications from several fields of computational science are provided to demonstrate the usefulness of this framework to a broad range of problems. Readers are assumed to be familiar with the basics of vector calculus, graph theory, and linear algebra.Topics and features: Presents a thorough review of discrete calculus, with a focus on key concepts required for successful application Unifies many standard image processing algorithms into a common framework for viewing a wide variety of standard algorithms in filtering, clustering, and manifold learning that may be applied to processing data associated with a graph or network Explains how discrete calculus provides a natural definition of 'low-frequency' on a graph, which then yields filtering and denoising algorithms Discusses how filtering algorithms can give rise to clustering algorithms, which can be used to develop manifold learning and data discovery methods Examines ranking algorithms, as well as algorithms for analyzing the structure of a networkGraduate students and researchers interested in discrete calculus, complex networks, image processing and computer graphics will find this text/reference a clear introduction to the foundations of discrete calculus as well as a useful guide to have readily available for their work.Dr. Leo J. Grady is a Senior Research Scientist with Siemens Corporate Research in Princeton, New Jersey, USA. Dr. Jonathan R. Polimeni is a Research Fellow at the Massachusetts General Hospital in Boston, Massachusetts, USA, and Instructor in Radiology at Harvard Medical School, Boston, Massachusetts, USA.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of discrete calculus, also known as 'discrete exterior calculus', focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. In contrast to traditional goals of finding an accurate discretization of conventional multivariate calculus, discrete calculus establishes a separate, equivalent calculus that operates purely in the discrete space without any reference to an underlying continuous process.This unique text brings together into a single framework current research in the three areas of discrete calculus, complex networks, and algorithmic content extraction. Although there have been a few intersections in the literature between these disciplines, they have developed largely independently of one another, yet researchers working in any one of these three areas can strongly benefit from the tools and techniques being used in the others. Many example applications from several fields of computational science are provided to demonstrate the usefulness of this framework to a broad range of problems. Readers are assumed to be familiar with the basics of vector calculus, graph theory, and linear algebra.Topics and features: Presents a thorough review of discrete calculus, with a focus on key concepts required for successful application Unifies many standard image processing algorithms into a common framework for viewing a wide variety of standard algorithms in filtering, clustering, and manifold learning that may be applied to processing data associated with a graph or network Explains how discrete calculus provides a natural definition of 'low-frequency' on a graph, which then yields filtering and denoising algorithms Discusses how filtering algorithms can give rise to clustering algorithms, which can be used to develop manifold learning and data discovery methods Examines ranking algorithms, as well as algorithms for analyzing the structure of a networkGraduate students and researchers interested in discrete calculus, complex networks, image processing and computer graphics will find this text/reference a clear introduction to the foundations of discrete calculus as well as a useful guide to have readily available for their work.Dr. Leo J. Grady is a Senior Research Scientist with Siemens Corporate Research in Princeton, New Jersey, USA. Dr. Jonathan R. Polimeni is a Research Fellow at the Massachusetts General Hospital in Boston, Massachusetts, USA, and Instructor in Radiology at Harvard Medical School, Boston, Massachusetts, USA.…

Condition: New. pp. 384.

Hardcover. Condition: Brand New. 366 pages. 9.25x6.25x1.00 inches. In Stock.

Hardcover. Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.