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Numerical Computations: Theory and Algorithms

4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Yaroslav D. Sergeyev

    1. University of Calabria, Rende, Italy

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  2. Dmitri E. Kvasov

    1. University of Calabria, Rende, Italy

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  3. Annabella Astorino

    1. University of Calabria, Rende, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14476)

Included in the following conference series:

Conference proceedings info: NUMTA 2023.

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About this book

The three-volume set LNCS 14476-14478 constitutes the post conference proceedings of the 4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023, held in Pizzo Calabro, Italy, during June 14–20, 2023.
The 45 full papers presented in this book together with 60 short papers were carefully reviewed and selected from 170 submissions.
The papers focus on topics such as: continuous and discrete single- and multi-objective problems, local, global and large-scale optimization, classification in machine learning, optimal control, and applications; computational and applied mathematics (such as approximation theory, computational geometry, computational fluid dynamics, dynamical systems and differential equations, numerical algebra, etc.) and applications in engineering and science; numerical models, methods and software using traditional and emerging high-performance computational tools and paradigms (including the infinity and quantum computing) and their application in artificial intelligence and data science, bioinformatics, economics and management, engineering and technology, mathematical education, number theory and foundations of mathematics, etc.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Long Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Application of Machine Learning to Increase the Efficiency of the Global Search Algorithm for Solving Multicriterial Problems

      • Konstantin Barkalov, Vladimir A. Grishagin, Evgeny Kozinov
      Pages 3-18

    3. Sequential Decision Modeling for Dynamic Pricing and Revenue Management in Hotels

      • Roberto Battiti
      Pages 19-33

    4. Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback

      • Antonio Candelieri
      Pages 34-48

    5. Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning

      • Antonio Candelieri, Andrea Ponti, Francesco Archetti
      Pages 49-63

    6. Extended Optimal Control Problem for Practical Application

      • Askhat Diveev, Elizaveta Shmalko
      Pages 64-78

    7. Explainable Process Deviance Discovery with Data-Efficient Deep Learning

      • Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
      Pages 79-93

    8. Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance

      • Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
      Pages 94-107

    9. A Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem

      • Matteo Magnani, Giorgia Franchini, Mauro Dell’Amico, Luca Zanni
      Pages 108-120

    10. Combined First- and Second-Order Directions for Deep Neural Networks Training

      • Ángeles Martínez, Marco Viola, Mahsa Yousefi
      Pages 121-135

    11. Constrained Global Optimization by Smoothing

      • Vladimir Norkin, Alois Pichler, Anton Kozyriev
      Pages 136-150

    12. The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms

      • Andrea Ponti, Francesco Archetti
      Pages 151-164

    13. An Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation Systems

      • Bruno Silva, Luiz Guerreiro Lopes
      Pages 165-181

    14. GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large Systems of Nonlinear Equations

      • Bruno Silva, Luiz Guerreiro Lopes
      Pages 182-196

    15. Effective Resistance Based Community Detection in Complex Networks

      • Annalisa Socievole, Clara Pizzuti
      Pages 197-209

    16. A Comparison of Formulations for Aircraft Deconfliction

      • Renan Spencer Trindade, Claudia D’Ambrosio
      Pages 210-225

    17. Optimal Recombination Problem in Genetic Programming for Boolean Functions

      • Aleksey Zakharov
      Pages 226-240

    18. Heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization

      • Yulia V. Zakharova, M.Yu. Sakhno
      Pages 241-256

    19. Numerical Analysis of Optimal Control of Assets and Liabilities by a Bank

      • Aleksandra Zhukova, Anna Flerova, Alexey Chernov
      Pages 257-269
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Other volumes

  1. Numerical Computations: Theory and Algorithms

  2. Numerical Computations: Theory and Algorithms

  3. Numerical Computations: Theory and Algorithms

Editors and Affiliations

  • University of Calabria, Rende, Italy

    Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino

Bibliographic Information

  • Book Title: Numerical Computations: Theory and Algorithms

  • Book Subtitle: 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I

  • Editors: Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-81241-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-81240-8Published: 01 January 2025

  • eBook ISBN: 978-3-031-81241-5Published: 31 December 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIV, 412

  • Number of Illustrations: 16 b/w illustrations, 75 illustrations in colour

  • Topics: Mathematics of Computing, Computer Systems Organization and Communication Networks, Machine Learning, Computer Applications, Algorithms

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