Stochastic Quantization of Topological Field Theory

Download or Read eBook Stochastic Quantization of Topological Field Theory PDF written by G. Menezes and published by . This book was released on 2006 with total page 20 pages. Available in PDF, EPUB and Kindle.
Stochastic Quantization of Topological Field Theory
Author :
Publisher :
Total Pages : 20
Release :
ISBN-10 : UOM:39015060801894
ISBN-13 :
Rating : 4/5 (94 Downloads)

Book Synopsis Stochastic Quantization of Topological Field Theory by : G. Menezes

Book excerpt:


Stochastic Quantization of Topological Field Theory Related Books

Stochastic Quantization of Topological Field Theory
Language: en
Pages: 20
Authors: G. Menezes
Categories: Langevin equation
Type: BOOK - Published: 2006 - Publisher:

DOWNLOAD EBOOK

Topological Methods In Quantum Field Theories
Language: en
Pages: 184
Authors: Werner Nahm
Categories:
Type: BOOK - Published: 1991-05-17 - Publisher: World Scientific

DOWNLOAD EBOOK

Over the last two decades, topological ideas have found increasingly more applications in quantum field theory. Topological field theories are the culmination o
Geometry, Topology and Quantization
Language: en
Pages: 236
Authors: P. Bandyopadhyay
Categories: Science
Type: BOOK - Published: 2013-03-07 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This is a monograph on geometrical and topological features which arise in various quantization procedures. Quantization schemes consider the feasibility of arr
Stochastic Quantization
Language: en
Pages: 227
Authors: Mikio Namiki
Categories: Science
Type: BOOK - Published: 2008-10-04 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This is a textbook on stochastic quantization which was originally proposed by G. Parisi and Y. S. Wu in 1981 and then developed by many workers. I assume that
Stochastic Quantization
Language: en
Pages: 512
Authors: Poul Henrik Damgaard
Categories: Science
Type: BOOK - Published: 1988 - Publisher: World Scientific

DOWNLOAD EBOOK

This collection of selected reprints presents as broad a selection as possible, emphasizing formal and numerical aspects of Stochastic Quantization. It reviews