The paper elucidates two views (models) of algorithmic problem solving. The first one is static; it is based on the identification of several principal dimensions of algorithmic problem solving. The second one is dynamic, i.e., it catalogs main steps in the process of solving a problem with a computer. The models are used to identify several important issues in teaching design and analysis of algorithms and to suggest ways of rectifying the shortcomings identified.
CITATION STYLE
Levitin, A. (2000). Design and analysis of algorithms reconsidered. SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education), 16–20. https://doi.org/10.1145/331795.331802
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