People often ask me why I chose to publish this work. Primarily, this book was motivated by my experience in industry after having been in the academic world for many years. We often hear about the need to bridge the gap between industry and academia, but one can easily intellectually understand something without having experienced it...

Soft Computing (SC) techniques have been recognized nowadays as attractive solutions for modeling highly nonlinear or partially defined complex systems and processes. These techniques resemble biological processes more closely than conventional (more formal) techniques. However, despite its increasing popularity, soft computing lacks...

We are all familiar with the time-honored idea of a Virtual Machine that is neutral with respect to computer architecture and can be used to execute a high-level language, after its translation to the VM byte-code. This approach can be found in several successful mono-language systems, that support popular languages such as Java or...

This book covers Flash for the everyday developer. The average Flash developer doesn't have luxurious timelines, employers who understand the value of reusability, or the help of an information architect to design a usable experience. This book helps bridge the gap for these coders who may be used to C++, Java, or C# and want to move over...

Fundamentals of Digital Logic With VHDL Design teaches the basic design techniques for logic circuits. It emphasizes the synthesis of circuits and explains how circuits are implemented in real chips. Fundamental concepts are illustrated by using small examples, which are easy to understand. Then, a modular approach is used to show how...

Over the last few decades, energy minimization methods have become an established paradigm to resolve a variety of challenges in the fields of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed a very limited...

Artificial neural networks, or simply called neural networks, refer to the various mathematical models of human brain functions such as perception, computation and memory. It is a fascinating scientific challenge of our time to understand how the human brain works. Modeling neural networks facilitates us in investigating the...

For a long time computer scientists have distinguished between fast and slow algorithms. Fast (or good) algorithms are the algorithms that run in polynomial time, which means that the number of steps required for the algorithm to solve a problem is bounded by some polynomial in the length of the input. All other algorithms are slow (or bad)....

The art of compiler construction is a fascinating subject- It integrates the mathe matical foundations of formal languages, a wealth of well-established techniques for syntactic analysis, semantic analysis and optimization, and a tremendous amount of practical experience accumulated over the past four decades in designing and us ing...