Results 171 to 180 of about 33,430 (215)

Realistic 3D human saccades generated by a 6-DOF biomimetic robotic eye under optimal control. [PDF]

open access: yesFront Robot AI
Van Opstal AJ   +3 more
europepmc   +1 more source

Convergent Concordant Mode Approach for Molecular Vibrations: CMA-2. [PDF]

open access: yesJ Chem Theory Comput
Kitzmiller NL   +5 more
europepmc   +1 more source

Cosmetic operations and Khovanov multicurves. [PDF]

open access: yesMath Ann
Kotelskiy A   +4 more
europepmc   +1 more source

On Torsion-Free Abelian k-Groups

Proceedings of the American Mathematical Society, 1987
A height sequence s is a function on primes p with values \(s_ p\) natural numbers or \(\infty\). The height sequence \(| x|\) of an element x in a torsion-free abelian group G is defined by \(| x|_ p=height\) of x at p. For a height sequence s, \(G(s)=\{x\in G:| x| \geq s\}\), \(G(ps)=\{x\in G(s):| x|_ p\geq s_ p+1\}\), \(G(s^*)=\{x\in G(s):\sum_{p}(|
Dugas, Manfred, Rangaswamy, K. M.
openaire   +1 more source

ENDOPRIMAL TORSION-FREE SEPARABLE ABELIAN GROUPS

Journal of Algebra and Its Applications, 2004
We give a characterization for the groups in the title in terms of the graph structure of the critical types occurring in the group. Moreover, we give an example of arbitrarily large endoprimal indecomposable groups.
Göbel, R.   +3 more
openaire   +1 more source

Tight subgroups in torsion-free Abelian groups

Israel Journal of Mathematics, 2003
The paper deals with ``tight subgroups'' of torsion-free Abelian groups, namely those subgroups that are maximal with respect to being completely decomposable. Tight subgroups were first studied by \textit{K. Benabdallah}, \textit{A. Mader} and \textit{M. A. Ould-Beddi} [J. Algebra 225, No.
Ould-Beddi, Mohamed A.   +1 more
openaire   +2 more sources

Direct Decompositions of Torsion-Free Abelian Groups

Lobachevskii Journal of Mathematics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Home - About - Disclaimer - Privacy