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目錄 摘要 誌謝 Chapter 1 Introduction Chapter 2 The Relation Between the Sequential Space Complexity and the Parallel Time Complexity 2.1 Log-Space Reducibility, Log-Space Completeness and the Uniform Circuit Family Model 2.2 The Original Meaning of Log-Space Completeness 2.3 The Relation Between the Sequential Space Complexity and the Parallel Time Complexity Chapter 3 Log-Space Complete Problems and NC Problems 3.1 A Review of the Log-Space Complete Problems 3.2 The NC Problems Chapter 4 The Concept of NC-Hardness 4.1 NCk Reducibility and NC-Hardness 4.2 The Implication of NC-Hardness Chapter 5 Three NC-Hard Problems which Do Not Seem to Be Log-Space Complete 5.1 The Maximum Flow Size Problem with Subexponential Edge Capacities is NC-Hard 5.2 The Directed Graph k-Accessibility Problem and the Circuit Value Problem Chapter 6 Using NCk Reduction Instead of Log-Space Reduction in Illustrating Problems which are Hard to Parallelize 6.1 The Circuit Value Problem is NC-Hard 6.2 The Monotone Circuit Value Problem is NC-Hard 6.3 The Problem of Finding the Lexicographically First Maximal Clique in an Undirected Graph is NC-Hard Chapter 7 Concluding Remarks References
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