Results 61 to 70 of about 178 (72)

Sobre el espectro del digrafo (h, j) adjunto de un multidigrafo K–regular

open access: yes, 2008
In this paper we relate the Matrix Theory and the Graphs Theory, particularlly we work with the characteristic polynomial of precedence matrix with the spectrum of (h, j) adjoint digraphs.
Braicovich, Teresa, Osio, Elsa
core  
Some of the next articles are maybe not open access.

Related searches:

Development and Characterisation of Supramolecular Autovectoring System for Selective Drug Delivery

Journal of Drug Targeting, 1999
Supramolecules since ages have been characterised as self-associating systems emanating the properties directly related to the mode of molecular association. Similar to supramolecules, liquid crystals may also be considered as an associated system. The liquid crystals are defined as the state of matter with the characterstic order of the crystal and ...
V, Jaitely, S P, Vyas
openaire   +2 more sources

Autovectors

2023
openaire   +1 more source

A Performance Analysis of Autovectorization on RVV RISC-V Boards

2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)
Lorenzo Carpentieri   +2 more
openaire   +1 more source

Autovectors

2014
openaire   +1 more source

Seal5: Semi-Automated LLVM Support for RISC-V ISA Extensions Including Autovectorization

2024 27th Euromicro Conference on Digital System Design (DSD)
Philipp van Kempen   +3 more
openaire   +1 more source

muRISCV-NN: Challenging Zve32x Autovectorization with TinyML Inference Library for RISC-V Vector Extension

Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions
Philipp van Kempen   +3 more
openaire   +1 more source

Autovectorization of Code for Numerical Simulation of Plasma Physics Problems

Igor Chernykh   +3 more
openaire   +1 more source

Clase Espejo - Álgebra II | Autovalores y Autovectores

Vidal, Michael Eddy Gomez   +1 more
openaire   +1 more source

Home - About - Disclaimer - Privacy