- -

Browsing by Subject "Computation"

RiuNet: Institutional repository of the Polithecnic University of Valencia

Browsing by Subject "Computation"

Sort by: Order: Results:

  • Icon
    A Comparative Analysis of the Electrophilicity of Organic Molecules between the Computed IPs and EAs and the HOMO and LUMO energies 
    Domingo, Luis R.; Sáez Cases, José Antonio; Perez, Patricia (Elsevier, 2007-04-20)
    [EN] The electrophilicity index, omega, of a series of substituted ethylenes used in some relevant organic reactions has been evaluated from the ionization potential JP) and the electron affinity (EA) computed by vertical ...
  • thumb
    Análisis y aplicación de técnicas inteligentes a un jugador automático en videojuegos tácticos 
    Granados Rodrigo, Ivan (Universitat Politècnica de València, 2017-01-11)
    [ES] Se describe lo que es un videojuego táctico, la necesidad de que tengan jugadores automáticos y las restricciones a las que están sujetos. Se presentan algoritmos y aproximaciones posibles en la programación de uno ...
  • thumb
    Computing matrix functions solving coupled differential models 
    Defez Candel, Emilio; Sastre, Jorge; Ibáñez González, Jacinto Javier; Ruiz Martínez, Pedro Antonio (Elsevier, 2009)
    In this paper a modification of the method proposed in [E. Defez, L. Jódar, Some applications of Hermite matrix polynomials series expansions, Journal of Computational and Applied Mathematics 99 (1998) 105–117] for ...
  • thumb
    Efficient evaluation of matrix polynomials 
    Sastre, Jorge (Elsevier, 2018)
    [EN] This paper presents a new family of methods for evaluating matrix polynomials more efficiently than the state-of-the-art Paterson-Stockmeyer method. Examples of the application of the methods to the Taylor polynomial ...
  • thumb
    Networks of Bio-inspired Processors 
    Arroyo Montoro, Fernando; Castellanos, Juan; Mitrana, Víctor; Santos, Eugenio; Sempere Luna, José María (Publicaciones URV (Universidad Rovira i Virgili ), 2012)
    [EN] The goal of this work is twofold. Firstly, we propose a uniform view of three types of accepting networks of bio-inspired processors: networks of evolutionary processors, networks of splicing processors and networks ...