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20042026
most citedMean field game model of corruption

84 citations · 686 across the 54 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

math.PR2020

Monte Carlo estimation of the solution of fractional partial differential equations

Vassili Kolokoltsov, Feng Lin, Aleksandar Mijatovic

The paper is devoted to the numerical solutions of fractional PDEs based on its probabilistic interpretation, that is, we construct approximate solutions via certain Monte Carlo si…

math-ph2020

The law of large numbers for quantum stochastic filtering and control of many particle systems

Vassili N. Kolokoltsov

There is an extensive literature on the dynamic law of large numbers for systems of quantum particles, that is, on the derivation of an equation describing the limiting individual…

math-ph2020★ 2 cited

Continuous time random walks modeling of quantum measurement and fractional equations of quantum stochastic filtering and control

Vassili N. Kolokoltsov

Initially developed in the framework of quantum stochastic calculus, the main equations of quantum stochastic filtering were later on derived as the limits of Markov models of disc…

math.OC2020

Quantum mean field games

Vassili N. Kolokoltsov

Quantum games represent the really 21st century branch of game theory, tightly linked to the modern development of quantum computing and quantum technologies. The main accent in th…

math.PR2020

On a probabilistic derivation of the basic particle statistics (Bose-Einstein, Fermi-Dirac, canonical, grand-canonical, intermediate) and related distributions

Vassili N. Kolokoltsov

Combining intuitive probabilistic assumptions with the basic laws of classical thermodynamics, using the latter to express probabilistic parameters in terms of the thermodynamic qu…

math.OC2020★ 11 cited

Dynamic Quantum Games

Vassili Kolokoltsov

Quantum games represent the really 21st century branch of game theory, tightly linked to the modern development of quantum computing and quantum technologies. The main accent in th…