There are many algorithm texts that provide lots of well-polished code and proofs of correctness. Instead, this one presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. It is a bit like a
CodeSMART 2009 for VB6 is exceptionally well integrated within the Visual Basic 5.0 and 6.0 IDEs. All the features it adds to Visual Basic are accessible through the main menu (1) and four toolbars (2) it registers with the environment. CodeSMART to
There are many algorithm texts that provide lots of well-polished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms lik
In order to develop algorithms for sensor networks and in order to give mathematical correctness and performance proofs, models for various aspects of sensor networks are needed. In the next three chapters, we focus upon the modeling, design, and an
Abstract. The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-separable data, working through a non-trivial example in de
Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic breakdown of
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This book offers a relatively large overview of modeling families which exist in spatial analysis and of the different mindsets that went into them. Models presented are related to space organization principles, localization logic, the form of spati
This text makes a great supplement and provides a systematic approach for teaching undergraduate and graduate students how to read, understand, think about, and do proofs. The approach is to categorize, identify, and explain (at the students level)
It is well known that all the known black-box zero-knowledge proofs of knowledge for NP are non-constant-round. Whether there exit constant-round black-box zero-knowledge proofs of knowledge for all NP languages under certain standard assumptions is
