Numerical Computations: Theory and Algorithms 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I /
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...
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| Autres auteurs: | , , |
| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Édition: | 1st ed. 2025. |
| Collection: | Lecture Notes in Computer Science,
14476 |
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| Accès en ligne: | https://doi.org/10.1007/978-3-031-81241-5 |
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Table des matières:
- 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.