Zobrazeno 1 - 10
of 521
pro vyhledávání: '"Mahindrakar A"'
This letter investigates the convergence and concentration properties of the Stochastic Mirror Descent (SMD) algorithm utilizing biased stochastic subgradients. We establish the almost sure convergence of the algorithm's iterates under the assumption
Externí odkaz:
http://arxiv.org/abs/2407.05863
Saddle point problems, ubiquitous in optimization, extend beyond game theory to diverse domains like power networks and reinforcement learning. This paper presents novel approaches to tackle saddle point problem, with a focus on continuous-time conte
Externí odkaz:
http://arxiv.org/abs/2404.04907
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 1, Pp 91-103 (2017)
In this paper, we analyse the local stability of a gene-regulatory network and immunotherapy for cancer modelled as nonlinear time-delay systems. A numerically generated kernel, using the sum-of-squares decomposition of multivariate polynomials, is u
Externí odkaz:
https://doaj.org/article/17d005046a3648b2a90a376543b1504a
Optimization problems emerging in most of the real-world applications are dynamic, where either the objective function or the constraints change continuously over time. This paper proposes projected primal-dual dynamical system approaches to track th
Externí odkaz:
http://arxiv.org/abs/2312.10203
This letter presents an almost sure convergence of the zeroth-order mirror descent algorithm. The algorithm admits non-smooth convex functions and a biased oracle which only provides noisy function value at any desired point. We approximate the subgr
Externí odkaz:
http://arxiv.org/abs/2303.09793
For a finite number of agents evolving on a Euclidean space and linked to each other by a connected graph, the Laplacian flow that is based on the inter-agent errors, ensures consensus or synchronization for both first and second-order dynamics. When
Externí odkaz:
http://arxiv.org/abs/2209.00345
Autor:
Ishaana Sood, Shalinder Sabherwal, Umang Mathur, Elesh Jain, Madhu Bhadauria, Deepshikha Agrawal, Ashi Khurana, Vikas Mittal, Avinash Mahindrakar, Vishal Govindahari, Sucheta Kulkarni, Ken K Nischal
Publikováno v:
Online Journal of Public Health Informatics, Vol 16, p e53370 (2024)
BackgroundEye care organizations and professionals worldwide are increasingly focusing on bridging the gap between population health and medical practice. Recent advances in genomics and anthropology have revealed that most Indian groups trace their
Externí odkaz:
https://doaj.org/article/9772f7c85b364267a0806b52a07fa395
The PID controller is an elegant and versatile controller for set point tracking in double integrator systems of which mechanical systems evolving on Euclidean space constitute a large class. But since mechanical systems are typically constrained int
Externí odkaz:
http://arxiv.org/abs/2111.07061
In this work, we consider the problem of event-triggered implementation of control laws designed for the local stabilization of nonlinear systems with center manifolds. We propose event-triggering conditions which are derived from a local input-to-st
Externí odkaz:
http://arxiv.org/abs/2110.10660
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.