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Sensitivity analysis of abnormal cone-constrained optimization problems constraint. This includes mathematical programming problems and some other problem settings. In contrast

Control of system dynamics and constraints stabilizationProblems of program control for dynamic systems with elements of various physical natures

Immobile Indices and CQ-Free Optimality Criteria for Linear Copositive Programming ProblemsWe consider problems of linear copositive programming where feasible sets consist of vectors

“Mean Field Games” as Mathematical Models for Control and Optimization of Business ActivityThe article is a review of modern mathematical economic models with the “Mean Field

Immobile indices and CQ-free optimality criteria for Linear Copositive Programming problemsWe consider problems of linear copositive programming where feasible sets consist of vectors

Second order sufficient condition for infinite-dimensional extremal problems; R - the space of real numbers) the minimization problem is considered with constraints: f0(x)→MIN, F

Necessary optimality conditions without a priori normality assumptions-degeneracy of constraints) they remain informative (not degenerate). A typical example for such type of optimization problem

Dynamic pricing with demand disaggregation for hotel revenue management, and a mathematical programming model with concave quadratic objective function and linear constraints

On Optimal Properties of Special Nonlinear and Semi-infinite Problems Arising in Parametric OptimizationWe consider a special nonlinear Programming problem depend-ing on integer parameters. For some

On optimal properties of special semiinfinite problems arising in parametric optimizationWe consider a special Nonlinear Programming problem depending on integer parameters. For some

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