This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex...
This book describes reliable and efficient design automation techniques for the design and implementation of an approximate computing system. The authors address the important facets of approximate computing hardware design - from formal verification and error guarantees to synthesis and test of approximation systems. They provide...
Students studying computer animation and computer games have to be familiar with geometry, matrices, vectors, rotation transforms, quaternions, curves and surfaces, and as computer graphics software becomes increasingly sophisticated, calculus is also being used to resolve its associated problems.
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...
Mobile robots are widely applied in a range of applications from transportation, surveillance through to health care. In all these applications it is clearly important to be able to analyse and control the performance of the mobile robot and it is therefore surprising that formalised methods to achieve this are not readily available. This book...
The manufacturing and service sector needs to resolve a lot of issues relating to products, process and service in everyday operation. Successful resolution depends on the methodology, rigor and systematic implementation techniques. The essential purpose of this book is to impart the necessary knowledge to the reader about concepts...
