Stochastic quantization (25 Ergebnisse)

Zustand: Good. Volume 165. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9783540665427.…

Originalbroschur. 24 cm. Zustand: Wie neu. Second edition. XII, 282 Seiten. FRISCHES, SEHR schönes Exemplar . - In EXCELLENT shape. - ( We offer a lot of books on PHYSICS and MATHEMATICS on stock in EXCELLENT shape). Aufgrund der von der Europäischen Union erlassenen Handels-Erschwernisse (die neue europäische Verpackungsverordnung mit extremen Gebühren für Händler) kann in folgende Länder KEIN VERSAND erfolgen: Bulgarien, Dänemark, Estland, Finnland, Griechenland, Irland, Kroatien, Lettland, Litauen, Luxemburg, Malta, Polen, Portugal, Rumänien, Schweden, Slowakei, Slowenien, Ungarn, Zypern. Falls Sie eine Rechnungs- und Lieferadresse in DEUTSCHLAND ermöglichen, kann an diese deutsche Adresse OHNE PROBLEME geliefert werden. Sprache: Englisch Gewicht in Gramm: 505.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, we discuss the path integral quantization and the stochastic quantization of classical mechanics and classical field theory. Forthe description ofthe classical theory, we have two methods, one based on the Lagrangian formalism and the other based on the Hamiltonian formal ism. The Hamiltonian formalism is derived from the Lagrangian formalism. In the standard formalism ofquantum mechanics, we usually make use ofthe Hamiltonian formalism. This fact originates from the following circumstance which dates back to the birth of quantum mechanics. The first formalism ofquantum mechanics is Schrodinger's wave mechan ics. In this approach, we regard the Hamilton-Jacobi equation of analytical mechanics as the Eikonal equation of 'geometrical mechanics'. Based on the optical analogy, we obtain the Schrodinger equation as a result ofthe inverse of the Eikonal approximation to the Hamilton-Jacobi equation, and thus we arrive at 'wave mechanics'. The second formalism ofquantum mechanics is Heisenberg's 'matrix me chanics'. In this approach, we arrive at the Heisenberg equation of motion from consideration of the consistency of the Ritz combination principle, the Bohr quantization condition and the Fourier analysis of a physical quantity. These two formalisms make up the Hamiltonian.formalism of quantum me chanics.…

Zustand: New. In English.

Zustand: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 510 pages. 9.50x6.50x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Path Integral Quantization and Stochastic Quantization | Michio Masujima | Taschenbuch | xii | Englisch | 2008 | Springer | EAN 9783540878506 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochastic resonance to the design of cochlear implants.…

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. This book addresses aspects of stochastic quantization for researchers in fields from computational neuroscience through to electronic engineering. Num Pages: 448 pages, 125 b/w illus. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 25. Weight in Grams: 1020. . 2008. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 1st edition. 450 pages. 10.00x7.00x1.00 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: Brand New. reprint edition. 227 pages. 9.61x6.70x0.60 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 932 | Sprache: Englisch | Produktart: Bücher | Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory. Later in the 1960s, it evolved into an automatic classification technique for generating prototypes of extensive datasets. In modern terms, it can be recognized as a seminal contribution to unsupervised learning through the k-means clustering algorithm in data science.In contrast, Functional Quantization, a more recent area of study dating back to the early 2000s, focuses on the quantization of continuous-time stochastic processes viewed as random vectors in Banach function spaces. This book distinguishes itself by delving into the quantization of random vectors with values in a Banach space-a unique feature of its content. Its main objectives are twofold: first, to offer a comprehensive and cohesive overview of the latest developments as well as several new results in optimal quantization theory, spanning both finite and infinite dimensions, building upon the advancements detailed in Graf and Luschgy's Lecture Notes volume. Secondly, it serves to demonstrate how optimal quantization can be employed as a space discretization method within probability theory and numerical probability, particularly in fields like quantitative finance. The main applications to numerical probability are the controlled approximation of regular and conditional expectations by quantization-based cubature formulas, with applications to time-space discretization of Markov processes, typically Brownian diffusions, by quantization trees.While primarily catering to mathematicians specializing in probability theory and numerical probability, this monograph also holds relevance for data scientists, electrical engineers involved in data transmission, and professionals in economics and logistics who are intrigued by optimal allocation problems.…

Hardcover. Zustand: Brand New. 508 pages. 9.75x6.50x1.25 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory. Later in the 1960s, it evolved into an automatic classification technique for generating prototypes of extensive datasets. In modern terms, it can be recognized as a seminal contribution to unsupervised learning through the k-means clustering algorithm in data science.In contrast, Functional Quantization, a more recent area of study dating back to the early 2000s, focuses on the quantization of continuous-time stochastic processes viewed as random vectors in Banach function spaces. This book distinguishes itself by delving into the quantization of random vectors with values in a Banach space-a unique feature of its content.Its main objectives are twofold: first, to offer a comprehensive and cohesive overview of the latest developments as well as several new resultsin optimal quantization theory, spanning both finite and infinite dimensions, building upon the advancements detailed in Graf and Luschgy's Lecture Notes volume. Secondly, it serves to demonstrate how optimal quantization can be employed as a space discretization method within probability theory and numerical probability, particularly in fields like quantitative finance. The main applications to numerical probability are the controlled approximation of regular and conditional expectations by quantization-based cubature formulas, with applications to time-space discretization of Markov processes, typically Brownian diffusions, by quantization trees.While primarily catering to mathematicians specializing in probability theory and numerical probability, this monograph also holds relevance for data scientists, electrical engineers involved in data transmission, and professionals in economics and logistics who are intrigued by optimal allocation problems.…

Softcover. Zustand: gut. 2024. Marginal and Functional Quantization of Stochastic Processes In deutscher Sprache. pages.