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000931677 019__ $$a1151257512$$a1152535976$$a1153162536$$a1153961981$$a1154468791
000931677 020__ $$a9783030460440$$q(electronic book)
000931677 020__ $$a3030460444$$q(electronic book)
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000931677 0247_ $$a10.1007/978-3-030-46
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000931677 050_4 $$aQA298$$b.J67 2020
000931677 08204 $$a518/.282$$223
000931677 1001_ $$aJoseph, Anosh,$$eauthor.
000931677 24510 $$aMarkov chain Monte Carlo methods in quantum field theories :$$ba modern primer /$$cAnosh Joseph.
000931677 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020]
000931677 300__ $$a1 online resource (134 pages).
000931677 336__ $$atext$$btxt$$2rdacontent
000931677 337__ $$acomputer$$bc$$2rdamedia
000931677 338__ $$aonline resource$$bcr$$2rdacarrier
000931677 4901_ $$aSpringerBriefs in Physics
000931677 504__ $$aIncludes bibliographical references.
000931677 506__ $$aAccess limited to authorized users.
000931677 520__ $$aThis 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.
000931677 588__ $$aDescription based on online resource; title from digital title page (viewed on May 21, 2020).
000931677 650_0 $$aMonte Carlo method.
000931677 650_0 $$aQuantum field theory$$xMathematics.
000931677 77608 $$iPrint version:$$aJoseph, Anosh$$tMarkov Chain Monte Carlo Methods in Quantum Field Theories : A Modern Primer$$dCham : Springer International Publishing AG,c2020$$z9783030460433
000931677 830_0 $$aSpringerBriefs in physics.
000931677 852__ $$bebk
000931677 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-46044-0$$zOnline Access$$91397441.1
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000931677 980__ $$aBIB
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