Results 41 to 50 of about 4,013 (146)

Comparative analysis of fractional-order and classical ODE models in explaining real-world dynamics

open access: yesApplied Mathematical Biosystems
Fractional calculus extends classical differential operators to non-integer orders, enabling the explicit modelling of memory and hereditary effects that are often absent in ordinary differential equation (ODE) formulations. This study evaluated fractional-order models formulated with the Caputo derivative against classical ODEs across four datasets ...
openaire   +1 more source

Dual Stratified Nanofluid Flow Past a Permeable Shrinking/Stretching Sheet Using a Non-Fourier Energy Model

open access: yesApplied Sciences, 2019
The present study emphasizes the combined effects of double stratification and buoyancy forces on nanofluid flow past a shrinking/stretching surface.
Najiyah Safwa Khashi’ie   +3 more
doaj   +1 more source

Computational Cellular Mathematical Model Aids Understanding the cGAS-STING in NSCLC Pathogenicity

open access: yesBio-Protocol
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. According to 2020 reports, globally, 2.2 million cases are reported every year, with the mortality number being as high as 1.8 million patients.
Shweta Khandibharad   +2 more
doaj   +1 more source

Psychological Alienation and the Aesthetics of the Lost Place in the Self-Laments of Mālik b. al-Rayb, Abū Firās al-Ḥamdānī, and Ibn Ḥamdīs al-Ṣiqillī

open access: yesJournal of Philology and Educational Sciences
This article examines how configurations of place function as a semiotic apparatus that reshapes the lyric self in classical Arabic self-elegy. It focuses on three case studies: Mālik b.
Mohammed Abdulkarem Yaseen
doaj   +1 more source

Finding multiple solutions of odes with neural networks [PDF]

open access: yes, 2020
Applications of neural networks to numerical problems have gained increasing interest. Among different tasks, finding solutions of ordinary differential equations (ODEs) is one of the most intriguing problems, as there may be advantages over well ...
P. Protopapas   +3 more
core  

A Novel Methodology for Scrutinizing Periodic Solutions of Some Physical Highly Nonlinear Oscillators

open access: yesComputation
The study offers a comprehensive investigation of periodic solutions in highly nonlinear oscillator systems, employing advanced analytical and numerical techniques.
Gamal M. Ismail   +3 more
doaj   +1 more source

Explicit time-stepping for stiff ODEs

open access: yes, 2003
We present a new strategy for solving stiff ODEs with explicit methods. By adaptively taking a small number of stabilizing small explicit time steps when necessary, a stiff ODE system can be stabilized enough to allow for time steps much larger than what
Johnson, Claes,   +2 more
core  

Uusklassikaline luuletraditsioon varauusaja Tallinnas ja Tartus / Humanist Greek and Neo-Latin poetry in Early Modern Tallinn and Tartu

open access: yesMethis: Studia Humaniora Estonica, 2015
Teesid: Käesolev artikkel käsitleb uusklassikalist luulet ehk luulet, mis tärkab humanistliku hariduse pinnalt ja on loodud nn klassikalistes keeltes ehk vanakreeka ja ladina keeles.
Janika Päll
doaj   +1 more source

Dynamic sensitivity analysis of biological systems

open access: yesBMC Bioinformatics, 2008
Background A mathematical model to understand, predict, control, or even design a real biological system is a central theme in systems biology. A dynamic biological system is always modeled as a nonlinear ordinary differential equation (ODE) system.
Chang Maw, Wang Feng, Wu Wu
doaj   +1 more source

Critical Analysis of Deficiencies in the Edition of Hilali Joghata'i's Divan and Discovery of Newly Found Poems [PDF]

open access: yesمتن شناسی ادب فارسی
Hilali Joghata'i is a prominent poet of the 9th and 10th centuries AH, contemporary with the Timurian and Safavid eras. His extant divan consists mainly of ghazals, but also includes odes, rubaiyats, and pieces.
Amin Yaghoubi, Mehdi Dehghan
doaj   +1 more source

Home - About - Disclaimer - Privacy