activity
20192022
most citedDynamic pricing under nested logit demand

3 citations · 4 across the 8 of their papers we have counts for

collaborators

11 papers

math.OC2022

Extended convergence analysis of the Scholtes-type regularization for cardinality-constrained optimization problems

Sebastian Lammel, Vladimir Shikhman

We extend the convergence analysis of the Scholtes-type regularization method for cardinality-constrained optimization problems. Its behavior is clarified in the vicinity of saddle…

math.OC2022

Global aspects of the continuous reformulation for cardinality-constrained optimization problems

Sebastian Lämmel, Vladimir Shikhman

The main goal of this paper is to relate the topologically relevant stationary points of a cardinality-constrained optimization problem and its continuous reformulation up to their…

math.OC2022

On local uniqueness of normalized Nash equilibria

Vladimir Shikhman

For generalized Nash equilibrium problems (GNEP) with shared constraints we focus on the notion of normalized Nash equilibrium in the nonconvex setting. The property of nondegenera…

math.OC2021

Network manipulation algorithm based on inexact alternating minimization

David Müller, Vladimir Shikhman

In this paper, we present a network manipulation algorithm based on an alternating minimization scheme from (Nesterov 2020). In our context, the latter mimics the natural behavior…

math.OC2021

Regularized quasi-monotone method for stochastic optimization

Vyacheslav Kungurtsev, Vladimir Shikhman

We adapt the quasi-monotone method from [2] for composite convex minimization in the stochastic setting. For the proposed numerical scheme we derive the optimal convergence rate in…

math.OC2021★ 1 cited

Cardinality-constrained optimization problems in general position and beyond

Vladimir Shikhman, Sebastian Lämmel

We study cardinality-constrained optimization problems (CCOP) in general position, i. e. those optimization-related properties that are fulfilled for a dense and open subset of the…

math.OC2021★ 3 cited

Dynamic pricing under nested logit demand

David Müller, Yurii Nesterov, Vladimir Shikhman

Recently, there is growing interest and need for dynamic pricing algorithms, especially, in the field of online marketplaces by offering smart pricing options for big online stores…

math.OC2020

Topological approach to mathematicalprograms with switching constraints

Vladimir Shikhman

We study mathematical programs with switching constraints (MPSC)from the topological perspective. Two basic theorems from Morse theory are proved. Outside the W-stationary point se…

math.OC2019

On nondegenerate M-stationary points for sparsity constrained nonlinear optimization

Sebastian Lämmel, Vladimir Shikhman

We study sparsity constrained nonlinear optimization (SCNO) from a topological point of view. Special focus will be on M-stationary points from Burdakov et al. (2016). We introduce…

math.OC2019

Discrete choice prox-functions on the simplex

David Müller, Yurii Nesterov, Vladimir Shikhman

We derive new prox-functions on the simplex from additive random utility models of discrete choice. They are convex conjugates of the corresponding surplus functions. In particular…

math.OC2019

Shannon's comparison of channels characterized by optimal decision making

Sebastian Lämmel, Vladimir Shikhman

According to Blackwell's Theorem it is equivalent to compare channels by either a garbling order or optimal decision making. This equivalence does not hold anymore if also allowing…