The first edition of this book presented simple proofs of the Atiyah-Singer Index Theorem for Dirac operators on compact Riemannian manifolds and its generalizations (due to the authors and J.-M. Bismut), using an explicit geometric construction of the heat kernel of a generalized Dirac operator; the new edition makes this popular book available to students and researchers in a...(展开全部)

A profound and powerful novel, winner of the Booker Prize Set in colonial India during the 1920s, Heat and Dust tells the story of Olivia, a beautiful woman suffocated by the propriety and social constraints of her position as the wife of an important English civil servant. Longing for passion and independence, Olivia is drawn into the spell of the Nawab, a minor Indian prince ...(展开全部)

A profound and powerful novel, winner of the Booker Prize Set in colonial India during the 1920s, Heat and Dust tells the story of Olivia, a beautiful woman suffocated by the propriety and social constraints of her position as the wife of an important English civil servant. Longing for passion and independence, Olivia is drawn into the spell of the Nawab, a minor Indian prin...(展开全部)

The beautiful, spoiled and bored Olivia, married to a civil servant, outrages society in the tiny, suffocating town of Satipur by eloping with an Indian prince. Fifty years later, her step-granddaughter goes back to the heat, the dust and the squalor of the bazaars to solve the enigma of Olivia's scandal. 'A superb book. A complex story line, handled with dazzling assurance ......(展开全部)

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tas...(展开全部)

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tas...(展开全部)