Having lived a life in selfishness, a young prince is cursed by a mysterious enchantress to having the appearance of a monstrous beast. His only hope is to learn to love a young woman and earn her love in return in order to redeem himself. Years later, his chance shows itself when a young maiden named Belle offers to take her ill father's place as his prisoner. With help from the castle's enchanted staff, Belle learns to appreciate her captor and immediately falls in love with him. Back in the village however, an unscrupulous hunter has his own plans for Belle.
Dutton moves adeptly between written sources and pictures and invokes post-medieval parallels from Shakespeare to Gibbon to the Big Bang and discovers some important commonalities in unusual subjects - a pervasive anxiety about the natural world, for instance, residual paganism, and the need to structure social hierarchies. Even as he ponders the writing of history from materials as ephemeral as the etched wax tablets that are a leitmotiv in this wonderful book, he constructs a splendid new account that will be studied with profit and amusement by professional historians, students, and others interested in the formation of the Middle Ages. Skip to main content Skip to table of contents.
PARAGRAPHBarbara Bardes specializes in the American government, public policy, and political analysis. She got her Ph. While teaching at the Loyola University of Chicago, Professor Bardes was a founding member of the committee responsible for developing an academic program in women's studies. She is active in numerous professional associations, including the Women's Caucus for Political Science. While serving as Dean of Raymond Walters College, Professor Bardes continues to engage in research and publication in political science.
The aim of this course is to provide an overview of some key theoretical concepts commonly used in computational neuroscience. The course consists of two parts, given by Bert Kappen and Paul Tiesinga. This page describes the part of the course taught by Bert Kappen. Other topics, not covered Visual processing sheets Di Carlo , How does the brain solve visual object recognition.
In applied statistics , total least squares is a type of errors-in-variables regression , a least squares data modeling technique in which observational errors on both dependent and independent variables are taken into account. It is a generalization of Deming regression and also of orthogonal regression , and can be applied to both linear and non-linear models. The total least squares approximation of the data is generically equivalent to the best, in the Frobenius norm , low-rank approximation of the data matrix. In the least squares method of data modeling, the objective function , S ,.