Dmitri E. Kvasov (ed.) | Akateeminen Kirjakauppa

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LEARNING AND INTELLIGENT OPTIMIZATION : 11TH INTERNATIONAL CONFERENCE, LION 11, NIZHNY NOVGOROD, RUSSIA, JUNE 19-21, 2017, REVIS

Roberto Battiti (ed.); Dmitri E. Kvasov (ed.); Yaroslav D. Sergeyev (ed.)
Springer (2017)
Pehmeäkantinen kirja

51,40 €

NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS : THIRD INTERNATIONAL CONFERENCE, NUMTA 2019, CROTONE, ITALY, JUNE 15–21, 2019, RE

Yaroslav D. Sergeyev (ed.); Dmitri E. Kvasov (ed.)
Springer (2020)
Pehmeäkantinen kirja

51,40 €

NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS : 4TH INTERNATIONAL CONFERENCE, NUMTA 2023, PIZZO CALABRO, ITALY, JUNE 14–20, 2023

Yaroslav D. Sergeyev (ed.); Dmitri E. Kvasov (ed.); Annabella Astorino (ed.)
Springer (2025)
Pehmeäkantinen kirja

75,40 €

NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS : 4TH INTERNATIONAL CONFERENCE, NUMTA 2023, PIZZO CALABRO, ITALY, JUNE 14–20, 2023

Yaroslav D. Sergeyev (ed.); Dmitri E. Kvasov (ed.); Annabella Astorino (ed.)
Springer (2025)
Pehmeäkantinen kirja

67,40 €

NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS : 4TH INTERNATIONAL CONFERENCE, NUMTA 2023, PIZZO CALABRO, ITALY, JUNE 14–20, 2023

Yaroslav D. Sergeyev (ed.); Dmitri E. Kvasov (ed.); Annabella Astorino (ed.)
Springer (2025)
Pehmeäkantinen kirja

67,40 €

Learning and Intelligent Optimization : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revis

Roberto Battiti (ed.), Dmitri E. Kvasov (ed.), Yaroslav D. Sergeyev (ed.)

51,40 €

Springer
Sivumäärä: 390 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2017, 26.10.2017 (lisätietoa)
Kieli: Englanti
Tuotesarja: Theoretical Computer Science and General Issues

This book constitutes the thoroughly refereed post-conference proceedings of the 11^th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017.

The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

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