Computational methods in power systems require significant inputs from diverse disciplines, such as data base structures, numerical analysis etc. Strategic decisions in sparsity exploitation and algorithm design influence large-scale simulation and high-speed computations. Selection of a programming paradigm shapes the design, its modularity and reusability. This has a far reaching effect on software maintenance.
Computational Methods for Large Sparse Power Systems Analysis
Springer London, Limited
An Object Oriented Approach
KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE
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