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20132023
most citedStrange baryon spectroscopy in the relativistic quark model

77 citations

Showing 2018Show all

6 papers · 1 filter

math.OC2018★ 18 cited

An indirect numerical method for a time-optimal state-constrained control problem in a steady two-dimensional fluid flow

Roman Chertovskih, Nathalie T. Khalil, Dmitry Karamzin +1

This article concerns the problem of computing solutions to state-constrained optimal control problems whose trajectory is affected by a flow field. This general mathematical frame…

astro-ph.IM2018★ 1 cited

Binary Star Database (BDB): New Developments and Applications

Oleg Malkov, Aleksey Karchevsky, Pavel Kaygorodov +2

Binary star DataBase (BDB) is the database of binary/multiple systems of various observational types. BDB contains data on physical and positional parameters of 260,000 components…

cs.AI2018★ 2 cited

eLIAN: Enhanced Algorithm for Angle-constrained Path Finding

Anton Andreychuk, Natalia Soboleva, Konstantin Yakovlev

Problem of finding 2D paths of special shape, e.g. paths comprised of line segments having the property that the angle between any two consecutive segments does not exceed the pred…

cs.AI2018

Path Finding for the Coalition of Co-operative Agents Acting in the Environment with Destructible Obstacles

Anton Andreychuk, Konstantin Yakovlev

The problem of planning a set of paths for the coalition of robots (agents) with different capabilities is considered in the paper. Some agents can modify the environment by destru…

stat.ME2018

A functional approach to estimation of the parameters of generalized negative binomial and gamma distributions

Andrey K. Gorshenin, Victor Yu. Korolev

The generalized negative binomial distribution (GNB) is a new flexible family of discrete distributions that are mixed Poisson laws with the mixing generalized gamma (GG) distribut…

cs.CV2018★ 3 cited

Sparse 3D Point-cloud Map Upsampling and Noise Removal as a vSLAM Post-processing Step: Experimental Evaluation

Andrey Bokovoy, Konstantin Yakovlev

The monocular vision-based simultaneous localization and mapping (vSLAM) is one of the most challenging problem in mobile robotics and computer vision. In this work we study the po…