Product Descr iption Our first knowledge of differential geometry usually comes from the study of the curves and surfaces in $I\!\!R^3$ that arise in calculus. Here we learn about line and surface integrals, divergence and curl, and the various form
This first volume, a three-part introduction to the subject, is intended for students with a beginning knowledge of mathematical analysis who are motivated to discover the ideas that shape Fourier analysis. It begins with the simple conviction that
This book is a graduate-level textbook on data structures. A data structure is a method1 to realize a set of operations on some data. The classical example is to keep track of a set of items, the items identified by key values, so that we can insert
This book deals with the architecture of the network subsystem in the Linux kernel. The idea for this book was born at the Institute of Telematics at the University of Karlsruhe, Germany, where the Linux kernel has been used in many research project
超级经典！！！ The Art of Unix Programming Eric Steven Raymond Table of Contents 目录 Requests for reviewers and copy-editors Preface Who Should Read This Book How To Use This Book Related References Conventions Used In This Book Our Case Studies Author's Ac
In classical life insurance mathematics the obligations of the insurance company towards the policy holders were calculated on artificial conservative assumptions on mortality and interest rates. However, this approach is being superseded by develop
1 , datafile.zip"This sample demonstrates how to do file input and output using Visual Basic. The sample creates a new database file and allows you to view, add, or delete records in this database."2 , dbprint.zip<br&g t;This demonstrates how to
Probability and Statistics by Example Volume 1, Basic Probability and Statistics 2005 Cambridge 'In this book, one can find a well-balanced mix of clearly explained theory, several classical and interesting examples which complement and integrate th
Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar spectra, or human gene distributions, regularly con- front the problem of dimensionality reduction: Þnding meaningful low-dimen- sional structur
