Mathematical Optimization Theory and Operations Research: 24th International Conference, MOTOR 2025, Novosibirsk, Russia, July 711, 2025, Proceedings [Pehme köide]

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.