Structure in complexity theory : proceedings of the conference held at the University of California, Berkeley, California, June 2-5, 1986

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Collectivité auteur: Structure in complexity theory conference :Berkeley, Calif.
Autres auteurs: Selman, Alan L. (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Collection:Lecture notes in computer science 223
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Structure in complexity theory, proceedings of the conference held at the University of California, Berkeley, California, June 2-5, 1986, edited by Alan L. Selman, Berlin, Springer-Verlag, 1986, 1 vol. (VI-400 p.), Lecture notes in computer science, 3-540-16486-3
• Structure in Complexity Theory, Texte imprimé, 9783662184103
Table des matières:
  • The complexity of sparse sets in P
  • Isomorphisms and 1-L reductions
  • Randomness, relativizations, and polynomial reducibilities
  • On non-uniform polynomial space
  • One-way functions and circuit complexity
  • Relativized alternation
  • The polynomial hierarchy and intuitionistic Bounded Arithmetic
  • With probability one, a random oracle separates PSPACE from the polynomial-time hierarchy
  • The boolean hierarchy: Hardware over NP
  • Exponential time and bounded arithmetic
  • Probabilistic game automata
  • Two lower bound arguments with "inaccessible" numbers
  • Resource-bounded Kolmogorov complexity of hard languages
  • A note on one-way functions and polynomial time isomorphisms
  • What is a hard instance of a computational problem?
  • The complexity of optimization problems
  • The power of the queue
  • A depth-size tradeoff for boolean circuits with unbounded fan-in
  • An optimal lower bound for turing machines with one work tape and a two-way input tape
  • Separation results for bounded alternation
  • Parallel computation with threshold functions
  • The topology of provability in complexity theory
  • Optimal approximations of complete sets
  • Expanders, randomness, or time versus space
  • Diagonalisation methods in a polynomial setting
  • Bounded oracles and complexity classes inside linear space
  • Parallel computation and the NC hierarchy relativized
  • Probabilistic quantifiers, adversaries, and complexity classes : An overview.