Coello's Spanish "Hamlet" (1872)

El príncipe Hamlet, by the Spanish playwright Carlos Coello (1850-1888), premiered in Madrid on November 22, 1872 and, described by the author as a “trágico-fantástico” drama, is unique in the history of Spanish translations and adaptations of Shakespeare’s Hamlet. The play reflects Spain’s late introduction to Shakespeare’s work, in comparison to other European countries. In the Prologue, Coello, who calls Shakespeare “the English Calderón,” insists that his play is a completely new play, “subject to the needs of the Spanish scene and the special conditions of our audience.” Built from the original text, the play includes dialogues and soliloquies of the original and much of its plot. One of the play’s most interesting features is that of the development of the characters and of the subtexts—including such topics as lost honor and the unequal relationship between men and women. In this way, El príncipe Hamlet becomes a rewrite of Shakespeare’s Hamlet, emblematic of the Spanish theatrical tradition of the Golden Age, which was revitalized in the first half of the 19th century in Spain. The Spanish theatre of the 19th century, with its romantic and nationalistic bent, looked to its own 16th and 17th century plays as models, rather than importing foreign works. Nevertheless, Coello’s El príncipe Hamlet exposed the Spanish public to Shakespeare’s work at a time when performances of his plays in Spain were scarce and translations of his works were still based on previous versions done by the French.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Spanish as the language of translation in Spain and Latin America: Shakespeare’s retranslations as a case in point.

A short description of the linguistic decisions taken by three Argentinian translators of Shakespeare (Rafael Squirru, Miguel Ángel Montezanti and Carlos Gamerro) with respect to the language of translation (Spanish). In the three cases, they try to reflect the regional variety known as "ríoplatense", although in different degrees and for different reasons.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

New bounds for truthful scheduling on two unrelated selfish machines

We consider the minimum makespan problem for $n$ tasks and two unrelated parallel selfish machines. Let $R_n$ be the best approximation ratio of randomized monotone scale-free algorithms. This class contains the most efficient algorithms known for truthful scheduling on two machines. We propose a new $Min-Max$ formulation for $R_n$, as well as upper and lower bounds on $R_n$ based on this formulation. For the lower bound, we exploit pointwise approximations of cumulative distribution functions (CDFs). For the upper bound, we construct randomized algorithms using distributions with piecewise rational CDFs. Our method improves upon the existing bounds on $R_n$ for small $n$. In particular, we obtain almost tight bounds for $n=2$ showing that $|R_2-1.505996|<10^{-6}$.Comment: 28 pages, 3 tables, 1 figure. Theory Comput Syst (2019

Evidence functions: a compositional approach to information

The discrete case of Bayes’ formula is considered the paradigm of information acquisition. Prior and posterior probability functions, as well as likelihood functions, called evidence functions, are compositions following the Aitchison geometry of the simplex, and have thus vector character. Bayes’ formula becomes a vector addition. The Aitchison norm of an evidence function is introduced as a scalar measurement of information. A fictitious fire scenario serves as illustration. Two different inspections of affected houses are considered. Two questions are addressed: (a) which is the information provided by the outcomes of inspections, and (b) which is the most informative inspection.Peer Reviewe

Evidence functions: a compositional approach to information

The discrete case of Bayes’ formula is considered the paradigm of information acquisition. Prior and posterior probability functions, as well as likelihood functions, called evidence functions, are compositions following the Aitchison geometry of the simplex, and have thus vector character. Bayes’ formula becomes a vector addition. The Aitchison norm of an evidence function is introduced as a scalar measurement of information. A fictitious fire scenario serves as illustration. Two different inspections of affected houses are considered. Two questions are addressed: (a) which is the information provided by the outcomes of inspections, and (b) which is the most informative inspection.Peer ReviewedPostprint (author's final draft