output
20162023
most citedOscillations in aggregation-shattering processes

47 citations

9 papers

cond-mat.stat-mech202323 cited

Steady oscillations in aggregation-fragmentation processes

N. V. Brilliantov, W. Otieno, S. A. Matveev +3

We report surprising steady oscillations in aggregation-fragmentation processes. Oscillating solutions are observed for the class of aggregation kernels

cond-mat.stat-mech20223 cited

Exact solutions of temperature-dependent Smoluchowski equations

Alexander Osinsky, Nikolay Brilliantov

We report a number of exact solutions for temperature-dependent Smoluchowski equations. These equations quantify the ballistic agglomeration, where the evolution of densities of ag…

physics.ao-ph2021

A comparison of data-driven approaches to build low-dimensional ocean models

Niraj Agarwal, Dmitri Kondrashov, Peter Dueben +2

We present a comprehensive inter-comparison of linear regression (LR), stochastic, and deep-learning approaches for reduced-order statistical emulation of ocean circulation. The re…

math.OC202130 cited

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?

Charlie Vanaret, Philipp Seufert, Jan Schwientek +5

Model-based experimental design is attracting increasing attention in chemical process engineering. Typically, an iterative procedure is pursued: an approximate model is devised, p…

cond-mat.stat-mech20208 cited

Hopf bifurcation in addition-shattering kinetics

Stanislav S. Budzinskiy, Sergey A. Matveev, Pavel L. Krapivsky

In aggregation-fragmentation processes, a steady state is usually reached in the long time limit. This indicates the existence of a fixed point in the underlying system of ordinary…

q-fin.TR202029 cited

Using Reinforcement Learning in the Algorithmic Trading Problem

Evgeny Ponomarev, Ivan Oseledets, Andrzej Cichocki

The development of reinforced learning methods has extended application to many areas including algorithmic trading. In this paper trading on the stock exchange is interpreted into…