activity
20182020
collaborators

5 papers

math.OC2020

Optimizing Static Linear Feedback: Gradient Method

Ilyas Fatkhullin, Boris Polyak

The linear quadratic regulator is the fundamental problem of optimal control. Its state feedback version was set and solved in the early 1960s. However the static output feedback p…

math.OC2019

Sparse solutions of optimal control via Newton method for under-determined systems

Boris Polyak, Andrey Tremba

We focus on finding sparse and least--norm solutions for unconstrained nonlinear optimal control problems. Such optimization problems are non-convex and non-smooth, neverth…

math.OC2019

Gradient projection and conditional gradient methods for constrained nonconvex minimization

Maxim Balashov, Boris Polyak, Andrey Tremba

Minimization of a smooth function on a sphere or, more generally, on a smooth manifold, is the simplest non-convex optimization problem. It has a lot of applications. Our goal is t…

math.OC2018

Non-monotone Behavior of the Heavy Ball Method

Marina Danilova, Anastasiya Kulakova, Boris Polyak

We focus on the solutions of second-order stable linear difference equations and demonstrate that their behavior can be non-monotone and exhibit peak effects depending on initial c…

math.OC2018

Geometry of quadratic maps via convex relaxation

Anatoly Dymarsky, Elena Gryazina, Sergei Volodin +1

We consider several basic questions pertaining to the geometry of image of a general quadratic map. In general the image of a quadratic map is non-convex, although there are severa…