Remembering and Forgetting Pagan Kings of the Danes in the Eleventh Century. Diverging Choices Within an Early Christian Dynasty

International audienceIn eleventh-century Denmark, the memory of the pagan kings of the Danes of the previous centuries was treated in many different ways: practices and choices of oral and written memory, oblivion and reinterpretations can be identified. We illustrate those varied strategies in three main contexts: oblivion, as exemplified by the work of Ailnoth; the use (or lack of use) of genealogy in the reign of Knud the Great and his sons; reinterpretations of past reigns by King Svend Estridsen, as described in the work of Adam of Bremen

A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables

An approach for the multiple response robust parameter design problem based on a methodology by Peterson (2000) is presented. The approach is Bayesian, and consists of maximizing the posterior predictive probability that the process satisfies a set of constraints on the responses. In order to find a solution robust to variation in the noise variables, the predictive density is integrated not only with respect to the response variables but also with respect to the assumed distribution of the noise variables. The maximization problem involves repeated Monte Carlo integrations, and two different methods to solve it are evaluated. A Matlab code was written that rapidly finds an optimal (robust) solution in case it exists. Two examples taken from the literature are used to illustrate the proposed method.Response surface methodology, robust parameter design, Bayesian statistics, Monte Carlo integration,

Metamodel-based robust simulation-optimization:An overview

Optimization of simulated systems is the goal of many techniques, but most of them assume known environments. Recently, “robust” methodologies accounting for uncertain environments have been developed. Robust optimization tackles problems affected by uncertainty, providing solutions that are in some sense insensitive to perturbations in the model parameters. Several alternative methods have been proposed for achieving robustness in simulation-based optimization problems, adopting different experimental designs and/or metamodeling techniques. This chapter reviews the current state of the art on robust optimization approaches based on simulated systems. First, we summarize robust Mathematical Programming. Then we discuss Taguchi’s approach introduced in the 1970s. Finally, we consider methods to tackle robustness using metamodels, and Kriging in particular. The proposed methodology uses Taguchi’s view of the uncertain world, but replaces his statistical techniques by Kriging. We illustrate the resulting methodology through basic inventory models

Antología del pensamiento crítico peruano contemporáneo

En un contexto de creciente especialización, profesionalización y despolitización en el ejercicio de las ciencias sociales, en el que es cada vez mayor la influencia de corrientes intelectuales originadas en los países centrales nor occidentales, es importante redescubrir para las nuevas generaciones nuestra tradición intelectual, con su preocupación por los temas sustantivos que afectan el presente y el futuro de nuestras sociedades, con su compromiso político y público, con su cuestionamiento al statu quo, con su identificación con los sectores subordinados de nuestras sociedades. Ya empieza a ocurrir que estudiantes o investigadores jóvenes en nuestros países caen en el error de considerar como nuevas algunas ideas producidas por académicos en el norte que en realidad tienen un largo linaje en el sur, o que se desaproveche un valioso arsenal de ideas, conceptos, mecanismos causales, pertinentes para entender realidades actuales por el desconocimiento de nuestra tradición. Esperamos haber podido reflejar en esta antología la vitalidad de la tradición y la vigencia del pensamiento social crítico en el Perú, con sus particularidades, continuidades y cambios