Mathematical Optimization Theory and Operations Research

Mathematical Programming.- Adaptive Variants of Frank-Wolfe Method with Relative Inexact Gradient Information.- Construction of a self-concordant barrier for a quasi-polyhedral cone with infinitely many faces.- Adaptive Method for Saddle Point Problems with a Generalization of Smoothness Property.- On the Study of Some Sufficient Conditions for the Existence of Regular Zeros of Quadratic Mappings.- STOCHASTIC GRADIENT DESCENT METHODS WITH STEP ADAPTATION.- Numerical analysis of the convex relaxation of the barrier parameter functional of self-concordant barriers.- Optimal Control.- On a Problem of Synthesis of Control of Boundary Condition and Motion of Measurement Points for Damping Oscillations of a String.- The Problem of Synthesis of Control of Movement of State Sensors and Power of Heating Sources of the Rod with Optimization of Their Placement.- On the Optimality of the Guaranteeing Solution in the Time-Optimization Problem for Linear Discrete-Time Systems with Integral Control Constraints.- Discrete H2-Optimal Synthesis Problem with Nonunique Solution.- Scattering-based stabilization technique for QSR-dissipative teleoperators with time-varying communication delays.- Game Theory.- Time-Inconsistency of Cooperative Networks in Differential Games.- Complete-to-Sparse: A Novel Graph Construction Strategy to Increase Efficiency of ShapG.- Two-Stage Game Model of Opinion Dynamics.- Genetic Algorithm for Repeated Prisoner's Dilemma.- Operations Research and Applications.- BIGLDM: Innovative Forecasting of Infection Patterns with Bidirectional Generalized Least Deviation Models.- Closest target on the frontier of the free disposal hull.- Optimal trajectory for monitoring objects with obstacles.- An Improved Discrete Optimisation Procedure with comparison to Constraint Programming.- On a Bilevel Optimization Model of Electric Power Systems with a System Operator at the Upper Level.- Multivariate Selberg Probability Bound in Distributionally Robust Optimization with Statistical Applications.- MIP Models and Complexity Results for DAG Scheduling in the Cloud.- Machine Learning and Optimization.- Clustering-based Graph Neural Networks in a Weakly Supervised Regression Problem.- Heterogeneous graph neural networks for real-time flow assignment prediction.- A Nash Equilibrium Prediction for a Dual Market Economic System Using Machine Learning Methods.- Parameter optimization for restarted mixed precision iterative sparse solver.- Optimal collapsing levels in one-way ANOVA: agglomerative merging algorithms and mixed integer linear programming.