MemComputing : fundamentals and applications / Massimiliano Di Ventra.

This text explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics.

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Bibliographic Details
Main Author: Di Ventra, Massimiliano (Author)
Format: eBook
Language:English
Published: Oxford ; New York, NY : Oxford University Press, [2022]
Subjects:
Online Access:Click for online access

MARC

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100 1 |a Di Ventra, Massimiliano,  |e author. 
245 1 0 |a MemComputing :  |b fundamentals and applications /  |c Massimiliano Di Ventra. 
264 1 |a Oxford ;  |a New York, NY :  |b Oxford University Press,  |c [2022] 
264 4 |c ©2022 
300 |a 1 online resource (ix, 350 pages) :  |b illustrations (black and white). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Also issued in print: 2022. 
504 |a Includes bibliographical references (pages 329-340) and index. 
520 8 |a This text explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics. 
521 |a Specialized. 
588 |a Description based on online resource; title from home page (Oxford Academic, viewed February 3, 2023). 
650 0 |a Machine learning. 
650 0 |a Quantum computing. 
650 7 |a Machine learning  |2 fast 
650 7 |a Quantum computing  |2 fast 
758 |i has work:  |a MEMCOMPUTING (Text)  |1 https://id.oclc.org/worldcat/entity/E39PD3J7W4BQbmXDbrb3bCj7Xm  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Di Ventra, Massimiliano.  |t MemComputing.  |d Oxford ; New York, NY : Oxford University Press, [2022]  |z 9780192845320  |w (OCoLC)1281655670 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://academic.oup.com/book/42003  |y Click for online access 
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