◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

K. Mamis

3 papers hereh-index 462 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • math-ph3

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedA systematic path to non-Markovian dynamics: New response pdf evolution equations under Gaussian coloured noise excitation

11 citations · 11 across the 2 of their papers we have counts for

collaborators

3 papers

math-ph2024

A systematic path to non-Markovian dynamics II: Probabilistic response of nonlinear multidimensional systems to Gaussian colored noise excitation

Gerassimos A. Athanassoulis, Nikolaos P. Nikoletatos-Kekatos, Konstantinos Mamis

The probabilistic characterization of non-Markovian responses to nonlinear dynamical systems under colored excitation is an important issue, arising in many applications. Extending…

math-ph2020

Probabilistic responses of dynamical systems subjected to Gaussian coloured noise excitation. Foundations of a non-Markovian theory

K. I. Mamis

The topic of this PhD thesis is the derivation of evolution equations for probability density functions (pdfs) describing the non-Markovian response to dynamical systems under Gaus…

math-ph2018★ 11 cited

A systematic path to non-Markovian dynamics: New response pdf evolution equations under Gaussian coloured noise excitation

K. I. Mamis, G. A. Athanassoulis, Z. G. Kapelonis

Determining evolution equations governing the probability density function (pdf) of non-Markovian responses to random differential equations (RDEs) excited by coloured noise, is an…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.