Algorithms Sequential & Parallel: A Unified Approach
Effective computing requires the design, analysis, implementation, and evaluation
of algorithms to solve problems of interest. Computational problems come from
a wide variety of areas including science, engineering, business, athletics, architecture,
medicine, management, economics, psychology, anthropology, and entertainment,
Digital Signal and Image Processing Using MATLAB (ISTE)
Simulation is an essential tool in any field related to engineering techniques,
whether it is used lor teaching purposes or in research and development.
When teaching technical subjects, lab works play an important role, as im
portant as exercise sessions in helping students assimilate theory. The recent
introduction of simulation...
Writing Scientific Software: A Guide to Good Style The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use.... Natural Computing: 4th International Workshop on Natural Computing
The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...
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