An Adaptive Partial Linearization Method for Optimization Problems on Product Sets problems where the goal function is the sum of a
smooth function and a
non-necessary
smooth convex
An Adaptive Partial Linearization Method for Optimization Problems on Product Sets problems where the goal function is the sum of a
smooth function and a
non-necessary
smooth convex
Small Variations of Basic Solution Method for Non-numerical OptimizationThe universal method for the solution of problems of
non-numerical
optimization is considered
Predictions based on the cumulative curves: Basic principles and nontrivial example is suggested. This method includes the procedure of the
optimal linear
smoothing (POLS) for the finding
The Cauchy Singular Integral on Non-Smooth Curve on
non-smooth curves: various versions of its definition, conditions for its existence, boundedness
On the Second Order Sufficient Optimality Conditions for a Problem of Mathematical ProgrammingWe consider the constrained
optimization problem for a
smooth function defined on a Banach space
Optimization problems for control of distributed resourcesWe consider a two-level
optimization problem of resource allocation in communication networks
Non-degenerate maximum principle for optimal control problems with discontinuous right-hand sideIn the paper,
optimal control problems with discontinuous right-hand side are considered. The main