Toniann Pitassi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Toniann Pitassi has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Michael Alekhnovich
Moscow State University
2 shared publications - Sam Buss
Department of Mathematics University of California San Diego
2 shared publications - Shlomo Moran
Technion
2 shared publications - Maria Luisa Bonet
Universitat Politècnica de Catalunya (UPC)
1 shared publication - Ran Raz
Weizmann Institute
1 shared publication
Latest Publications
- 12 March 2001
- Published by Cambridge University Press (CUP) in The Journal of Symbolic Logic
- Vol. 66 (1) , 171-191
Minimum propositional proof length is NP-hard to linearly approximate
We prove that the problem of determining the minimum propositional proof length is NP-hard to approximate within a factor of . These results are very robust in that they hold for almost all natural proof systems, including: Frege systems, extended Frege systems, resolution. Horn resolution, the polynomial calculus, the sequent calculus, the cut-free sequent calculus, as well as the polynomial calculus. Our hardness of approximation results usually apply to proof length measured either by number of symbols or by number of inferences, for tree-like or dag-like proofs. We introduce the Monotone Minimum (Circuit) Satisfying Assignment problem and reduce it to the problems of approximation of the length of proofs.
- 12 March 2001
- Published by Cambridge University Press (CUP) in The Journal of Symbolic Logic
- Vol. 66 (1) , 171-191
Minimum propositional proof length is NP-hard to linearly approximate
We prove that the problem of determining the minimum propositional proof length is NP-hard to approximate within a factor of . These results are very robust in that they hold for almost all natural proof systems, including: Frege systems, extended Frege systems, resolution. Horn resolution, the polynomial calculus, the sequent calculus, the cut-free sequent calculus, as well as the polynomial calculus. Our hardness of approximation results usually apply to proof length measured either by number of symbols or by number of inferences, for tree-like or dag-like proofs. We introduce the Monotone Minimum (Circuit) Satisfying Assignment problem and reduce it to the problems of approximation of the length of proofs.
- 1 January 1998
- Published by Springer Nature
- p. 176-184
Minimum propositional proof length is NP-hard to linearly approximate
- 1 January 1998
- Published by Springer Nature
- p. 176-184
Minimum propositional proof length is NP-hard to linearly approximate
- 1 September 1997
- Published by Cambridge University Press (CUP) in The Journal of Symbolic Logic
- Vol. 62 (3) , 708-728
Lower bounds for cutting planes proofs with small coefficients
We consider small-weight Cutting Planes (CP*) proofs; that is, Cutting Planes (CP) proofs with coefficients up to Poly(n). We use the well known lower bounds for monotone complexity to prove an exponential lower bound for the length of CP* proofs, for a family of tautologies based on the clique function. Because Resolution is a special case of small-weight CP, our method also gives a new and simpler exponential lower bound for Resolution.We also prove the following two theorems: (1) Tree-like CP* proofs cannot polynomially simulate non-tree-like CP* proofs. (2) Tree-like CP* proofs and Bounded-depth-Frege proofs cannot polynomially simulate each other.Our proofs also work for some generalizations of the CP* proof system. In particular, they work for CP* with a deduction rule, and also for any proof system that allows any formula with small communication complexity, and any set of sound rules of inference.
- 1 September 1997
- Published by Cambridge University Press (CUP) in The Journal of Symbolic Logic
- Vol. 62 (3) , 708-728
Lower bounds for cutting planes proofs with small coefficients
We consider small-weight Cutting Planes (CP*) proofs; that is, Cutting Planes (CP) proofs with coefficients up to Poly(n). We use the well known lower bounds for monotone complexity to prove an exponential lower bound for the length of CP* proofs, for a family of tautologies based on the clique function. Because Resolution is a special case of small-weight CP, our method also gives a new and simpler exponential lower bound for Resolution.We also prove the following two theorems: (1) Tree-like CP* proofs cannot polynomially simulate non-tree-like CP* proofs. (2) Tree-like CP* proofs and Bounded-depth-Frege proofs cannot polynomially simulate each other.Our proofs also work for some generalizations of the CP* proof system. In particular, they work for CP* with a deduction rule, and also for any proof system that allows any formula with small communication complexity, and any set of sound rules of inference.