Machine learning in pure mathematics and theoretical physics (Record no. 200755)

MARC details
000 -LEADER
fixed length control field 02954nam a22002657a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260701092050.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260701b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781800613690
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31015 HE-M
245 ## - TITLE STATEMENT
Title Machine learning in pure mathematics and theoretical physics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore;
Name of publisher World Scientific Publishing Europe Ltd.,
Year of publication 2025.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xii, 395p. ; 24 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- Machine learning foundations -- Applications in pure mathematics -- Machine learning in algebra and geometry -- Number theory applications -- Computational methods in theoretical physics -- Quantum computing and AI -- Advanced research topics -- Bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc The juxtaposition of 'machine learning' and 'pure mathematics and theoretical physics' may first appear as contradictory in terms. The rigours of proofs and derivations in the latter seem to reside in a different world from the randomness of data and statistics in the former. Yet, an often under-appreciated component of mathematical discovery, typically not presented in a final draft, is experimentation: both with ideas and with mathematical data. Think of the teenage Gauss, who conjectured the Prime Number Theorem by plotting the prime-counting function, many decades before complex analysis was formalized to offer a proof.Can modern technology in part mimic Gauss's intuition? The past five years saw an explosion of activity in using AI to assist the human mind in uncovering new mathematics: finding patterns, accelerating computations, and raising conjectures via the machine learning of pure, noiseless data. The aim of this book, a first of its kind, is to collect research and survey articles from experts in this emerging dialogue between theoretical mathematics and machine learning. It does not dwell on the well-known multitude of mathematical techniques in deep learning, but focuses on the reverse relationship: how machine learning helps with mathematics. Taking a panoramic approach, the topics range from combinatorics to number theory, and from geometry to quantum field theory and string theory. Aimed at PhD students as well as seasoned researchers, each self-contained chapter offers a glimpse of an exciting future of this symbiosis.
520 ## - SUMMARY, ETC.
Summary, etc This edited volume presents recent advances in the application of machine learning to pure mathematics and theoretical physics. It covers mathematical data processing, artificial intelligence methods, computational modelling, pattern recognition, and modern research techniques that integrate machine learning with advanced mathematical and physical sciences.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematics
General subdivision Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Physics
General subdivision Data processing
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name He, Yang-Hui, ed.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books and Monographs
Holdings
Full call number Accession Number Koha item type Lost status Damaged status Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price
006.31015 HE-M 102992 Books and Monographs     Central Library, NIT Jalandhar Central Library, NIT Jalandhar General Stacks 29.06.2026 New Delhi, Shankar's Book Agency Pvt. Ltd. 14089.60
Dr. Sanjeev, Librarian
Managed by: Dr. D. P. Tripathi, Deputy Librarian, Central Library
For any query / question, please mail at circulation.liby@nitj.ac.in 

Powered by Koha