Results 61 to 70 of about 149,618 (314)

An Analysis of the Computational Complexity and Efficiency of Various Algorithms for Solving a Nonlinear Model of Radon Volumetric Activity with a Fractional Derivative of a Variable Order

open access: yesComputation
The article presents a study of the computational complexity and efficiency of various parallel algorithms that implement the numerical solution of the equation in the hereditary α(t)-model of radon volumetric activity (RVA) in a storage chamber.
Dmitrii Tverdyi
doaj   +1 more source

Performance Analysis of Wavenumber Domain Algorithms for Highly Squinted SAR

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Wavenumber domain algorithms have unique advantages in processing highly squinted synthetic aperture radar data. This article studies the performance of three commonly used wavenumber domain algorithms including the classical wavenumber domain (CWD ...
Xing Chen   +3 more
doaj   +1 more source

Analysis and solutions to the stable roommate problem: An examination of complexity, stability, and matching algorithms

open access: yes, 2023
Roommate issues with strong preferences are defined here. An extension of the Stable Marriage Problem that does not include two partners is the Stable Roommates Problem, or SR. The complexity and approximability of the problem of computing an egalitarian stable matching in instances of d-SRI.
Humbal Zaidi   +2 more
openaire   +2 more sources

Empowering Adult Learning How AI Fuels Progress Across Disciplines and Professions

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of artificial intelligence (AI) as a transformative cognitive partner across educational and professional fields. It explores how AI shifts attention away from routine technical tasks and toward human‐centered skills such as critical thinking, ethical decision‐making, and professional judgment.
Rachel Wlodarsky
wiley   +1 more source

Numerical evidence for phase transitions of NP-complete problems for instances drawn from Lévy-stable distributions [PDF]

open access: yes, 2011
Random NP-Complete problems have come under study as an important tool used in the analysis of optimization algorithms and help in our understanding of how to properly address issues of computational intractability.
Connelly, Abram, Abram Connelly
core  

Role of New Kernel Function in Complexity Analysis of an Interior Point Algorithm for Semi definite Linear Complementarity Problem

open access: yesCoRR, 2021
In this paper, we introduce a new kernel function which differs from previous functions, and play an important role for generating a new design of primal-dual interior point algorithms for semidefinite linear complementarity problem. Its properties, allow us a great simplicity for the analysis of interior-point method, therefore the complexity of large-
Nabila Abdessemed   +2 more
openaire   +2 more sources

Profound Leadership Strategies: Transcending the Leadership Crisis in the Age of Artificial Intelligence

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley   +1 more source

Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover [PDF]

open access: yes, 2006
In this paper, we consider the role of the crossover operator in genetic algorithms. Specifically, we study optimisation problems that exhibit many local optima and consider how crossover affects the rate at which the population breaks the symmetry of ...
Jennings, N. R.   +4 more
core   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Performance Analysis and Parallel Scalability of Numerical Methods for Fractional-in-Space Diffusion Problems with Adaptive Time Stepping [PDF]

open access: yes
We study numerical methods and algorithms for time-dependent fractional-in-space diffusion problems. The considered anomalous diffusion is modelled by the fractional Laplacian (−Δ)α, 0<α<1, following the integral definition.
Svetozar Margenov, Dimitar Slavchev
core   +1 more source

Home - About - Disclaimer - Privacy