A Strong-Connectivity Algorithm and Its Applications in Data Flow Analysis Applications (Classic Reprint) - Hardcover

M. Sharir

 
9780267857739: A Strong-Connectivity Algorithm and Its Applications in Data Flow Analysis Applications (Classic Reprint)

Synopsis

A Strong-Connectivity Algorithm and Its Applications in Data Flow Analysis shows how a clever new approach speeds up data-flow problems in graphs.

This nonfic­tion work explains how breaking a graph into strongly connected components (SCCs) can simplify analysis. It introduces a practical algorithm, SCOMPS, that finds SCCs and orders them efficiently, then uses that structure to improve a classic data-flow method.

  • How SCCs help organize complex graphs and reduce redundant work.
  • How the SCOMPS algorithm runs in linear time relative to nodes and edges.
  • How to apply the approach to iterative data-flow analysis, including interprocedural cases.
  • Concrete steps to combine SCCs with a revised Hecht-Ullman style iteration for maximal fixpoints.
Ideal for readers of compiler theory and practitioners seeking efficient data-flow solutions in large graphs.

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