東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Markov chain Monte Carlo methods in ...

Joseph, Anosh.

Linked to FindBook

Google Book

Amazon

博客來

Markov chain Monte Carlo methods in quantum field theories = a modern primer /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Markov chain Monte Carlo methods in quantum field theories/ by Anosh Joseph.
Reminder of title:	a modern primer /
Author:	Joseph, Anosh.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiv, 126 p. :ill., digital ;24 cm.
[NT 15003449]:	Monte Carlo Method for Integration -- Monte Carlo with Importance Sampling -- Markov Chains -- Markov Chain Monte Carlo -- MCMC and Feynman Path Integrals -- Reliability of Simulations -- Hybrid (Hamiltonian) Monte Carlo -- MCMC and Quantum Field Theories on a Lattice -- Machine Learning and Quantum Field Theories -- C++ Programs.
Contained By:	Springer eBooks
Subject:	Monte Carlo method. -
Online resource:	https://doi.org/10.1007/978-3-030-46044-0
ISBN:	9783030460440

Markov chain Monte Carlo methods in quantum field theories = a modern primer /
Joseph, Anosh.

Markov chain Monte Carlo methods in quantum field theoriesa modern primer /[electronic resource] :by Anosh Joseph. - Cham :Springer International Publishing :2020. - xiv, 126 p. :ill., digital ;24 cm. - SpringerBriefs in physics,2191-5423. - SpringerBriefs in physics..

Monte Carlo Method for Integration -- Monte Carlo with Importance Sampling -- Markov Chains -- Markov Chain Monte Carlo -- MCMC and Feynman Path Integrals -- Reliability of Simulations -- Hybrid (Hamiltonian) Monte Carlo -- MCMC and Quantum Field Theories on a Lattice -- Machine Learning and Quantum Field Theories -- C++ Programs.

This primer is a comprehensive collection of analytical and numerical techniques that can be used to extract the non-perturbative physics of quantum field theories. The intriguing connection between Euclidean Quantum Field Theories (QFTs) and statistical mechanics can be used to apply Markov Chain Monte Carlo (MCMC) methods to investigate strongly coupled QFTs. The overwhelming amount of reliable results coming from the field of lattice quantum chromodynamics stands out as an excellent example of MCMC methods in QFTs in action. MCMC methods have revealed the non-perturbative phase structures, symmetry breaking, and bound states of particles in QFTs. The applications also resulted in new outcomes due to cross-fertilization with research areas such as AdS/CFT correspondence in string theory and condensed matter physics. The book is aimed at advanced undergraduate students and graduate students in physics and applied mathematics, and researchers in MCMC simulations and QFTs. At the end of this book the reader will be able to apply the techniques learned to produce more independent and novel research in the field.

ISBN: 9783030460440

Standard No.: 10.1007/978-3-030-46044-0doiSubjects--Topical Terms:

551308
Monte Carlo method.

LC Class. No.: QA298 / .J67 2020

Dewey Class. No.: 518.282

Markov chain Monte Carlo methods in quantum field theories = a modern primer /
LDR:02496nmm a2200337 a 4500 001 2217991
003 DE-He213
005 20200417014039.0
006 m d
007 cr nn 008maaau
008 201120s2020 sz s 0 eng d
020 $a 9783030460440 $q (electronic bk.)
020 $a 9783030460433 $q (paper)
024 7 $a 10.1007/978-3-030-46044-0 $2 doi
035 $a 978-3-030-46044-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA298 $b .J67 2020
072 7 $a PHU $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHU $2 thema
082 0 4 $a 518.282 $2 23
090 $a QA298 $b .J83 2020
100 1 $a Joseph, Anosh. $3 3451671
245 1 0 $a Markov chain Monte Carlo methods in quantum field theories $h [electronic resource] : $b a modern primer / $c by Anosh Joseph.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 126 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in physics, $x 2191-5423
505 0 $a Monte Carlo Method for Integration -- Monte Carlo with Importance Sampling -- Markov Chains -- Markov Chain Monte Carlo -- MCMC and Feynman Path Integrals -- Reliability of Simulations -- Hybrid (Hamiltonian) Monte Carlo -- MCMC and Quantum Field Theories on a Lattice -- Machine Learning and Quantum Field Theories -- C++ Programs.
520 $a This primer is a comprehensive collection of analytical and numerical techniques that can be used to extract the non-perturbative physics of quantum field theories. The intriguing connection between Euclidean Quantum Field Theories (QFTs) and statistical mechanics can be used to apply Markov Chain Monte Carlo (MCMC) methods to investigate strongly coupled QFTs. The overwhelming amount of reliable results coming from the field of lattice quantum chromodynamics stands out as an excellent example of MCMC methods in QFTs in action. MCMC methods have revealed the non-perturbative phase structures, symmetry breaking, and bound states of particles in QFTs. The applications also resulted in new outcomes due to cross-fertilization with research areas such as AdS/CFT correspondence in string theory and condensed matter physics. The book is aimed at advanced undergraduate students and graduate students in physics and applied mathematics, and researchers in MCMC simulations and QFTs. At the end of this book the reader will be able to apply the techniques learned to produce more independent and novel research in the field.
650 0 $a Monte Carlo method. $3 551308
650 0 $a Quantum field theory $x Mathematics. $3 658956
650 1 4 $a Numerical and Computational Physics, Simulation. $3 2209853
650 2 4 $a Elementary Particles, Quantum Field Theory. $3 894026
650 2 4 $a Quantum Field Theories, String Theory. $3 1067067
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in physics. $3 1314314
856 4 0 $u https://doi.org/10.1007/978-3-030-46044-0
950 $a Physics and Astronomy (Springer-11651)