Results 11 to 20 of about 55,778 (240)

Moment Maps and Equivariant Volumes [PDF]

open access: greenActa Mathematica Sinica, English Series, 2007
misprints corrected, some new results ...
Alberto Della Vedova, Roberto Paoletti
openalex   +5 more sources

Equivariant Maps for Homology Representations [PDF]

open access: bronzeProceedings of the American Mathematical Society, 1994
If Y is a homotopy representation of the finite group G of order n and X is a finite G-CW complex such that, for each subgroup H of G, H ∗ ( X H ; Z n
Ronald M. Dotzel
openalex   +3 more sources

On equivariant $p$-harmonic maps

open access: bronzeAnnales de l'Institut Henri Poincaré C, Analyse non linéaire, 1998
In the first section of this paper we study the Dirichlet problem for equivariant (rotationally symmetric) p -harmonic maps from the Euclidean ball B^m to the closed upper ellipsoid E^m_+ (b)
Ali Fardoun
openalex   +3 more sources

Equivariant method for periodic maps [PDF]

open access: bronzeTransactions of the American Mathematical Society, 1974
The notion of coherency with submanifolds for a Morse function on a manifold is introduced and discussed in a general way. A Morse inequality for a given periodic transformation which compares the invariants called qth Euler numbers on fixed point set and the invariants called qth Lefschetz numbers of the transformations is thus obtained.
Wu Hsiung Huang
openalex   +2 more sources

A birational lifting of the Stanley-Thomas word on products of two chains [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2021
The dynamics of certain combinatorial actions and their liftings to actions at the piecewise-linear and birational level have been studied lately with an eye towards questions of periodicity, orbit structure, and invariants.
Michael Joseph, Tom Roby
doaj   +1 more source

Machine Learning Approaches in Soft Matter Molecular Simulation and Materials Characterization: Challenges and Perspectives. [PDF]

open access: yesChempluschem
Rigorous frameworks construction toward the development of science‐based machine learning (ML) schemes: invocation of statistical learning and data‐driven methods within the diverse materials science fields, from materials characterization to molecular modeling utilizing domain knowledge to facilitate fundamental understanding and scientific discovery.
Vergadou N, Constantoudis V.
europepmc   +2 more sources

Non-isometric codes for the black hole interior from fundamental and effective dynamics

open access: yesJournal of High Energy Physics, 2023
We introduce a new holographic map for encoding black hole interiors by including both fundamental and effective dynamics. This holographic map is constructed by evolving a state in the effective, semiclassical gravity description of the interior ...
Oliver DeWolfe, Kenneth Higginbotham
doaj   +1 more source

ReBiDet: An Enhanced Ship Detection Model Utilizing ReDet and Bi-Directional Feature Fusion

open access: yesApplied Sciences, 2023
To enhance ship detection accuracy in the presence of complex scenes and significant variations in object scales, this study introduces three enhancements to ReDet, resulting in a more powerful ship detection model called rotation-equivariant ...
Zexin Yan   +5 more
doaj   +1 more source

OrtDet: An Orientation Robust Detector via Transformer for Object Detection in Aerial Images

open access: yesRemote Sensing, 2022
The detection of arbitrarily rotated objects in aerial images is challenging due to the highly complex backgrounds and the multiple angles of objects.
Ling Zhao   +4 more
doaj   +1 more source

Existence of Equivariant Biharmonic Maps [PDF]

open access: yesInternational Mathematics Research Notices, 2015
We consider two compact Riemannian manifolds M and N and a compact Lie group G that acts on both by isometries. Under certain assumptions on the structure of M and of the quotient space M/G, we construct equivariant biharmonic maps u: M → N with prescribed boundary data.
Hornung, Peter, Moser, Roger
openaire   +1 more source

Home - About - Disclaimer - Privacy