Algorithm Analysis and Problem Complexity.

provides reader with a way to learn, experiment, compare, and build on top of existing algorithms.

frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different

theoretical as well as practical aspects of different areas like nature inspired algorithms, fuzzy systems

algorithms for such models, and (iii) insights into these problems through the detailed analysis of numerous

the design and implementation of control algorithms for automobiles and electrohydraulic systems

programming models are used and solution algorithms developed for real-life data, and numerical solutions

design and implementation of control algorithms for aerial and underwater robots, for mechanical systems

drives; · new control algorithms for power electronics converters. The chapters and the complete book

demonstrating explicitly the operation of the software through algorithms, this book brings together the fields

features: ·        an overall assessment of recent and current fault-tolerant control algorithms

Algorithms in the Vector Model -- Chapter 11 Enabling Green Heterogeneous Cellular Networks via Balanced