|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
on1288167564 |
| 003 |
OCoLC |
| 005 |
20240808213014.0 |
| 006 |
m o d |
| 007 |
cr |n||||||||| |
| 008 |
211210s2021 sz a o 101 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|e rda
|e pn
|c YDX
|d GW5XE
|d EBLCP
|d GW5XE
|d OCLCF
|d DKU
|d OCLCO
|d DCT
|d OCLCQ
|d OCLCO
|d UKAHL
|d OCLCQ
|d AUD
|d OCLCO
|d OCLCL
|
| 019 |
|
|
|a 1288194103
|a 1288273595
|a 1289369427
|a 1292517719
|a 1294355235
|
| 020 |
|
|
|a 9783030927110
|q (electronic bk.)
|
| 020 |
|
|
|a 3030927113
|q (electronic bk.)
|
| 020 |
|
|
|z 9783030927103
|
| 020 |
|
|
|z 3030927105
|
| 024 |
7 |
|
|a 10.1007/978-3-030-92711-0
|2 doi
|
| 035 |
|
|
|a (OCoLC)1288167564
|z (OCoLC)1288194103
|z (OCoLC)1288273595
|z (OCoLC)1289369427
|z (OCoLC)1292517719
|z (OCoLC)1294355235
|
| 037 |
|
|
|b Springer
|
| 050 |
|
4 |
|a QA76.9.M35
|b O58 2021
|
| 072 |
|
7 |
|a MAT003000
|2 bisacsh
|
| 072 |
|
7 |
|a PBWH
|2 bicssc
|
| 072 |
|
7 |
|a PBWH
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 111 |
2 |
|
|a OPTIMA
|n (12th :
|d 2021 :
|c Online)
|
| 245 |
1 |
0 |
|a Advances in optimization and applications :
|b 12th international conference, OPTIMA 2021, Petrovac, Montenegro, September 27-October 1, 2021 : revised selected papers /
|c Nicholas N. Olenev, Yuri G. Evtushenko, Milojica Jaćimović, Michael Khachay, Vlasta Malkova (eds.).
|
| 246 |
3 |
0 |
|a OPTIMA 2021
|
| 264 |
|
1 |
|a Cham :
|b Springer,
|c [2021]
|
| 264 |
|
4 |
|c ©2021
|
| 300 |
|
|
|a 1 online resource :
|b illustrations (some color)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|
| 347 |
|
|
|b PDF
|
| 490 |
1 |
|
|a Communications in computer and information science ;
|v 1514
|
| 500 |
|
|
|a International conference proceedings.
|
| 500 |
|
|
|a Includes author index.
|
| 520 |
|
|
|a This book constitutes the refereed proceedings of the 12th International Conference on Optimization and Applications, OPTIMA 2021, held in Petrovac, Montenegro, in September - October 2021. Due to the COVID-19 pandemic the conference was partially held online. The 19 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on mathematical programming; global optimization; stochastic optimization; optimal control; mathematical economics; optimization in data analysis; applications.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed December 22, 2021).
|
| 505 |
0 |
|
|a Intro -- Preface -- Organization -- Contents -- Mathematical Programming -- On Numerical Estimates of Errors in Solving Convex Optimization Problems -- 1 Introduction -- 2 Numerical Estimates of Errors for Convex Optimization Problems -- 3 Numerical Estimates of Errors in Solving Convex Non-smooth Optimization Problems -- 4 Rounding Method to Estimate the Error of the Solution (RoMEES) -- 5 Experiments -- 5.1 Smooth Convex Function -- 5.2 Non-smooth Convex Unconstrained Optimization Problem -- 5.3 Smooth Convex Constrained Optimization Problem -- 6 Conclusion -- References
|
| 505 |
8 |
|
|a Sequential Subspace Optimization for Quasar-Convex Optimization Problems with Inexact Gradient -- 1 Introduction -- 2 Subspace Optimization Method with Inexact Gradient -- 3 Subspace Optimization Method with Inexact Solutions of Auxiliary Subproblems -- 4 Numerical Experiments -- 5 Conclusion -- References -- Global Optimization -- A Search Algorithm for the Global Extremum of a Discontinuous Function -- 1 Introduction -- 2 Algorithm for Functions with Given Discontinuity Points -- 3 Identifying Unspecified Discontinuities -- 4 Algorithm for Unspecified Discontinuities
|
| 505 |
8 |
|
|a 5 Results of Numerical Experiments -- 6 Conclusion -- References -- A Novel Algorithm with Self-adaptive Technique for Solving Variational Inequalities in Banach Spaces -- 1 Introduction -- 2 Preliminaries -- 3 Algorithm -- 4 Basic Inequality -- 5 Convergence -- 6 Numerical Experiments -- 7 Conclusions -- References -- Stochastic Optimization -- On One Method of Optimization of Quantum Systems Based on the Search for Fixed Points -- 1 Introduction -- 2 Conditions for Improvement and Optimality of Control -- 3 Iterative Algorithms -- 4 Examples -- 5 Conclusion -- References
|
| 505 |
8 |
|
|a Stochastic Optimization for Dynamic Pricing -- 1 Introduction -- 2 Problem Statement -- 3 Algorithms and Theoretical Guarantees -- 3.1 Stochastic Gradient Descent -- 3.2 Adaptive Stochastic Gradient Method -- 4 The Case of Infinite Number of Consumers -- 5 The Case of Zero Quantity Adjustment Costs -- 5.1 Mirror Descent Dynamic -- 5.2 Dual Smoothing -- 6 Numerical Experiments -- 7 Conclusion -- References -- Adaptive Gradient-Free Method for Stochastic Optimization -- 1 Introduction -- 1.1 Notation -- 1.2 Assumptions and Definitions -- 2 Adaptive Algorithm -- 2.1 Optimal Batch Size Selection
|
| 505 |
8 |
|
|a 2.2 Idea of Adaptivity for Lipschitz Constant -- 3 Algorithm -- 3.1 Accelerated Adaptive Algorithm -- 3.2 Coordinate-Wise Selection of L -- 3.3 Complexity and Oracle Calls -- 4 Experiments -- 5 Conclusion -- References -- Optimal Control -- Synthesis of Power and Movement Control of Heating Sources of the Rod -- 1 Introduction -- 2 Formulation of the Problem -- 3 Approach to Determining Feedback -- 4 Conclusion -- References -- Evolutionary Algorithms for Optimal Control Problem of Mobile Robots Group Interaction -- 1 Introduction -- 2 Optimal Control Problem -- 3 Evolutionary Algorithms
|
| 650 |
|
0 |
|a Computer science
|x Mathematics
|v Congresses.
|
| 650 |
|
0 |
|a Mathematical optimization
|v Congresses.
|
| 650 |
|
7 |
|a Computer science
|x Mathematics
|2 fast
|
| 650 |
|
7 |
|a Mathematical optimization
|2 fast
|
| 655 |
|
0 |
|a Electronic books.
|
| 655 |
|
7 |
|a proceedings (reports)
|2 aat
|
| 655 |
|
7 |
|a Conference papers and proceedings
|2 fast
|
| 655 |
|
7 |
|a Conference papers and proceedings.
|2 lcgft
|
| 655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
|
| 700 |
1 |
|
|a Olenev, Nicholas N.,
|e editor.
|
| 700 |
1 |
|
|a Evtushenko, I︠U︡. G.
|q (I︠U︡riĭ Gavrilovich),
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjCDXVvmdd4PkpD8VjJQRq
|
| 700 |
1 |
|
|a Jaćimović, Milojica,
|e editor.
|
| 700 |
1 |
|
|a Khachay, Mikhail Yu.,
|e editor.
|
| 700 |
1 |
|
|a Malkova, Vlasta,
|e editor.
|
| 758 |
|
|
|i has work:
|a Advances in optimization and applications (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFDR7tPgKCX9hwtKP4d9cP
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a OPTIMA (12th : 2021 : Online).
|t Advances in optimization and applications.
|d Cham : Springer, [2021]
|z 3030927105
|z 9783030927103
|w (OCoLC)1285164333
|
| 830 |
|
0 |
|a Communications in computer and information science ;
|v 1514.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-92711-0
|y Click for online access
|
| 903 |
|
|
|a SPRING-COMP2021
|
| 994 |
|
|
|a 92
|b HCD
|