| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Numerical computations/ edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino. |
| Reminder of title: |
theory and algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14-20, 2023 : revised selected papers. |
| remainder title: |
NUMTA 2023 |
| other author: |
Sergeyev, Yaroslav D. |
| corporate name: |
NUMTA (Conference) |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xxiv, 412 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
Application of Machine Learning to Increase the Efficiency of the Global Search Algorithm for Solving Multicriterial Problems -- Sequential Decision Modeling for Dynamic Pricing and Revenue Management in Hotels -- Resource Allocation via Bayesian Optimization: An Efficient Alternative to Semi-Bandit Feedback -- Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning -- Extended Optimal Control Problem for Practical Application -- Explainable Process Deviance Discovery with Data-Efficient Deep Learning -- Line Search Stochastic Gradient Algorithm with a-Priori Rule for Monitoring the Control of the Variance -- A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem -- Combined First- and Second-Order Directions for Deep Neural Networks Training -- Constrained Global Optimization by Smoothing -- The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms -- An Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation Systems -- GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large Systems of Nonlinear Equations -- Effective Resistance Based Community Detection in Complex Networks -- A Comparison of Formulations for Aircraft Deconfliction -- Optimal Recombination Problem in Genetic Programming for Boolean Functions -- Heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization -- Numerical Analysis of Optimal Control of Assets and Liabilities by a Bank -- Optimal Control for Stochastic Multi-Agent Systems with the Use of Parallel Hybrid Genetic Algorithm -- DC Optimization in Adversarial Support Vector Machine -- A First-Order Optimality Condition in Nonsmooth Generalized Semi-Infinite Programming (GSIP) -- Miniaturisation of Binary Classifiers through Sparse Neural Networks -- Price Forecasting for Bitcoin: Linear Regression and SVM Approaches -- Inside the Box: 0-1 Linear Programming under Interval Uncertainty -- Machine Learning Techniques for Branch-and-Cut Methods: The Selection of Cutting Planes -- The Critical Cone and Second-Order Optimality Conditions for a State-Constrained Optimal Control Problem -- Local Information in Global Optimization with Dimensionality Reduction Schemes -- A Heuristic Solution Approach for Bulk Port Routing Optimization -- A Genetic Algorithm to Optimize the Dispatch of Firefighting Resources -- Robust Non-Convex Model-Based Approach for Deep Learning-Based Image Processing -- A DCA-Like Based Algorithm for the Merkle Tree Construction Problem in Ethereum Cryptocurrency System -- Numerical Optimization in Hyperbolic Space - Applications to Drug-Target Interaction Prediction -- Improving Feasibility of Optimal Control via Obtaining High-precision Model -- Dimensionality Reduction for Quadratic Convex Maximization -- Population Local Search for Single Processor Energy Efficient Scheduling Problem. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Numerical analysis - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-81241-5 |
| ISBN: |
9783031812415 |