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Internet Programming with OmniMark
Internet Programming with OmniMark
"I have been using OmniMark for a decade to solve many different kinds of information management problems. When OmniMark Technologies Corporation added features to their excellent language that allowed server functionality and database access, OmniMark became an even better, more powerful platform for data processing. When they made it...
The Art of C++
The Art of C++

Take your C++ skills to the next level with help from programming guru Herb Schildt. In this unique volume, Herb unlocks the secrets that professional programmers use to create world-class software. In the process, he explores the power, elegance, and artistry of C++. Inside, Herb applies C++ to a wide variety of high-powered, practical...

Complex Analysis (Princeton Lectures in Analysis, No. 2)
Complex Analysis (Princeton Lectures in Analysis, No. 2)

With this second volume, we enter the intriguing world of complex analysis. From the first theorems on, the elegance and sweep of the results is evident. The starting point is the simple idea of extending a function initially given for real values of the argument to one that is defined when the argument is complex. From there, one proceeds to...

Statistical Field Theory: An Introduction to Exactly Solved Models in Statistical Physics (Oxford Graduate Texts)
Statistical Field Theory: An Introduction to Exactly Solved Models in Statistical Physics (Oxford Graduate Texts)

This book provides a thorough introduction to the fascinating world of phase transitions as well as many related topics, including random walks, combinatorial problems, quantum field theory and S-matrix. Fundamental concepts of phase transitions, such as order parameters, spontaneous symmetry breaking, scaling transformations, conformal...

Bridging the Gap Between Graph Edit Distance and Kernel Machines (Series in Machine Perception and Artifical Intelligence)
Bridging the Gap Between Graph Edit Distance and Kernel Machines (Series in Machine Perception and Artifical Intelligence)

When we rst started working on the problem of making the kernel machine approach applicable to the classi cation of graphs a couple of years ago, our e orts were mainly driven by the fact that kernel methods had led to impressive performance results on many data sets. It didn't take us long to appreciate the sheer elegance of how...

 
   
   
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