Literature, translation and national identity: Christina Rossetti and Rosalía de Castro in the work of Plácido Castro

Plácido Castro‘s work has aroused our interest, because it evolves around the question of Galician personality and identity. While working as a journalist and a translator or while writing essays on different literary issues, Plácido Castro has never forgotten his roots or his nation. One could even say that his whole life turns around Galicia. Our purpose is to make a critical analysis of his work, especially as a translator, and try to show how he used translation in order to develop national conscience and identity and to see how far his ideology interfered in the interpretation and translation of Rossetti‘s poetry, in which he found a great similarity with Rosalìa de Castro‘s work.

Overcoming the objectification of western classical music with the concept of music as a process

Dissertation to obtain the degree of Master in Music - Artistic Interpretation

Tech-based Innovations in pedagogical practices: the case of ISCAP

TICEduca. III Congresso Internacional TIC e Educação. 14 a 16 Novembro, Lisboa

Multiple Roots of Systems of Equations by Repulsion Merit Functions

In this paper we address the problem of computing multiple roots of a system of nonlinear equations through the global optimization of an appropriate merit function. The search procedure for a global minimizer of the merit function is carried out by a metaheuristic, known as harmony search, which does not require any derivative information. The multiple roots of the system are sequentially determined along several iterations of a single run, where the merit function is accordingly modified by penalty terms that aim to create repulsion areas around previously computed minimizers. A repulsion algorithm based on a multiplicative kind penalty function is proposed. Preliminary numerical experiments with a benchmark set of problems show the effectiveness of the proposed method.

Testing Nelder-Mead Based Repulsion Algorithms for Multiple Roots of Nonlinear Systems via a Two-Level Factorial Design of Experiments

This paper addresses the challenging task of computing multiple roots of a system of nonlinear equations. A repulsion algorithm that invokes the Nelder-Mead (N-M) local search method and uses a penalty-type merit function based on the error function, known as 'erf', is presented. In the N-M algorithm context, different strategies are proposed to enhance the quality of the solutions and improve the overall efficiency. The main goal of this paper is to use a two-level factorial design of experiments to analyze the statistical significance of the observed differences in selected performance criteria produced when testing different strategies in the N-M based repulsion algorithm. The main goal of this paper is to use a two-level factorial design of experiments to analyze the statistical significance of the observed differences in selected performance criteria produced when testing different strategies in the N-M based repulsion algorithm.