Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Probabilistic Techniques in Analysis
In recent years, there has been an upsurge of interest in using techniques drawn from probability to tackle problems in analysis. These applications arise in subjects such as potential theory, harmonic analysis, singular integrals, and the study of analytic functions. This book presents a modern survey of these methods at the level of a beginning Ph.D. student. Highlights of this book include the construction of the Martin boundary, probabilistic proofs of the boundary Harnack principle, Dahlberg's theorem, a probabilistic proof of Riesz' theorem on the Hilbert transform, and Makarov's theorems on the support of harmonic measure. The author assumes that a reader has some background in basic real analysis, but the book includes proofs of all the results from probability theory and advanced analysis required. Each chapter concludes with exercises ranging from the routine to the difficult. In addition, there are included discussions of open problems and further avenues of research.
Why ME?
Life will keep testing our patience in holding on to our values, and we tend to break the rules when we are pushed to the extreme. He was standing on the road on a rainy day with a box full of stationery, as his termination letter and company ID card floated in the gutter. Shiva Athreya, B school graduate and a politician’s son, who hates the sight of being a politician, is pushed to the wall when he is forced to resign from his organization. His corporate career and his personal confidence are shaken when he starts recollecting his horrible corporate experience. He begins to find answers to his questions and starts facing his demons in the way he hated the most. Why ME? is the journey of a kind man becoming a corporate monster, who ends up heading an entire division in less than four years of rejoining the same organization that terminated him.
Large Deviations
Offers an introduction to large deviations. This book is divided into two parts: theory and applications. It presents basic large deviation theorems for i i d sequences, Markov sequences, and sequences with moderate dependence. It also includes an outline of general definitions and theorems.
Annual Report
None
Lectures on Probability Theory and Statistics
This volume contains lectures given at the Saint-Flour Summer School of Probability Theory during the period 8th-24th July, 1999. We thank the authors for all the hard work they accomplished. Their lectures are a work of reference in their domain. The School brought together 85 participants, 31 of whom gave a lecture concerning their research work. At the end of this volume you will find the list of participants and their papers. Finally, to facilitate research concerning previous schools we give here the number of the volume of "Lecture Notes" where they can be found: Lecture Notes in Mathematics 1975: n ° 539- 1971: n ° 307- 1973: n ° 390- 1974: n ° 480- 1979: n ° 876- 1976: n ° 598-...
Seminaire de Probabilites XXXIV
This volume contains 19 contributions to various subjects in the theory of (commutative and non-commutative) stochastic processes. It also provides a 145-page graduate course on branching and interacting particle systems, with applications to non-linear filtering, by P. del Moral and L. Miclo.
Geek Heresy
After a decade designing technologies meant to address education, health, and global poverty, award-winning computer scientist Kentaro Toyama came to a difficult conclusion: Even in an age of amazing technology, social progress depends on human changes that gadgets can't deliver. Computers in Bangalore are locked away in dusty cabinets because teachers don't know what to do with them. Mobile phone apps meant to spread hygiene practices in Africa fail to improve health. Executives in Silicon Valley evangelize novel technologies at work even as they send their children to Waldorf schools that ban electronics. And four decades of incredible innovation in America have done nothing to turn the ti...
