Results for 'polynomial‐time degrees'

999 found
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  1.  41
    Every polynomial-time 1-degree collapses if and only if P = PSPACE.Stephen A. Fenner, Stuart A. Kurtz & James S. Royer - 2004 - Journal of Symbolic Logic 69 (3):713-741.
    A set A is m-reducible to B if and only if there is a polynomial-time computable function f such that, for all x, x∈ A if and only if f ∈ B. Two sets are: 1-equivalent if and only if each is m-reducible to the other by one-one reductions; p-invertible equivalent if and only if each is m-reducible to the other by one-one, polynomial-time invertible reductions; and p-isomorphic if and only if there is an m-reduction from one set to the (...)
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  2.  16
    Strong polynomial-time reducibility.Juichi Shinoda - 1997 - Annals of Pure and Applied Logic 84 (1):97-117.
    The degree structure of functions induced by a polynomial-time reducibility first introduced in G. Miller's work on the complexity of prime factorization is investigated. Several basic results are established including the facts that the degrees restricted to the sets do not form an upper semilattice and there is a minimal degree, as well as density for the low degrees, a weak form of the exact pair theorem, the existence of minimal pairs and the decidability of the Π2 theory (...)
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  3.  52
    The algebraic structure of the isomorphic types of tally, polynomial time computable sets.Yongge Wang - 2002 - Archive for Mathematical Logic 41 (3):215-244.
    We investigate the polynomial time isomorphic type structure of (the class of tally, polynomial time computable sets). We partition P T into six parts: D −, D^ − , C, S, F, F^, and study their p-isomorphic properties separately. The structures of , , and are obvious, where F, F^, and C are the class of tally finite sets, the class of tally co-finite sets, and the class of tally bi-dense sets respectively. The following results for the structures of and (...)
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  4.  25
    On Nondeterminism, Enumeration Reducibility and Polynomial Bounds.Kate Copestake - 1997 - Mathematical Logic Quarterly 43 (3):287-310.
    Enumeration reducibility is a notion of relative computability between sets of natural numbers where only positive information about the sets is used or produced. Extending e‐reducibility to partial functions characterises relative computability between partial functions. We define a polynomial time enumeration reducibility that retains the character of enumeration reducibility and show that it is equivalent to conjunctive non‐deterministic polynomial time reducibility. We define the polynomial time e‐degrees as the equivalence classes under this reducibility and investigate their structure on the (...)
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  5.  26
    Differences between Resource Bounded Degree Structures.Theodore A. Slaman & Michael~E. Mytilinaios - 2003 - Notre Dame Journal of Formal Logic 44 (1):1-12.
    We exhibit a structural difference between the truth-table degrees of the sets which are truth-table above 0′ and the PTIME-Turing degrees of all sets. Though the structures do not have the same isomorphism type, demonstrating this fact relies on developing their common theory.
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  6.  12
    Inhomogeneity of the p-s-Degrees of Recursive Functions.Asae Mochizuki & Juichi Shinoda - 2000 - Mathematical Logic Quarterly 46 (3):385-392.
    The structure of the p-s-degrees of recursive functions is shown to be inhomogeneous. There are two p-s-degrees a and b above 0 such that [0, a] is distributive and [0, b] is nondistributive. Moreover, we will investigate how the number of values of each function reflects on its degree.
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  7.  12
    On MODkP Counting Degrees.Masamitsu Ozaki & Juichi Shinoda - 1999 - Mathematical Logic Quarterly 45 (3):327-342.
    For a prime k, the embeddability of finite lattices are discussed for various kind of the MODkP degrees of recursive sets. In particular, all finite lattices are embeddable into the MODkP Turing degrees, whereas the non distributive lattice M3 is embeddable into the MOD2P many-one degrees but N5 is not.
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  8.  11
    Polynomial Time Uniform Word Problems.Stanley Burris - 1995 - Mathematical Logic Quarterly 41 (2):173-182.
    We have two polynomial time results for the uniform word problem for a quasivariety Q: The uniform word problem for Q can be solved in polynomial time iff one can find a certain congruence on finite partial algebras in polynomial time. Let Q* be the relational class determined by Q. If any universal Horn class between the universal closure S and the weak embedding closure S̄ of Q* is finitely axiomatizable then the uniform word problem for Q is solvable in (...)
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  9.  32
    Choiceless polynomial time.Andreas Blass, Yuri Gurevich & Saharon Shelah - 1999 - Annals of Pure and Applied Logic 100 (1-3):141-187.
    Turing machines define polynomial time on strings but cannot deal with structures like graphs directly, and there is no known, easily computable string encoding of isomorphism classes of structures. Is there a computation model whose machines do not distinguish between isomorphic structures and compute exactly PTime properties? This question can be recast as follows: Does there exist a logic that captures polynomial time ? Earlier, one of us conjectured a negative answer. The problem motivated a quest for stronger and stronger (...)
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  10.  24
    Polynomial-time abelian groups.Douglas Cenzer & Jeffrey Remmel - 1992 - Annals of Pure and Applied Logic 56 (1-3):313-363.
    This paper is a continuation of the authors' work , where the main problem considered was whether a given recursive structure is recursively isomorphic to a polynomial-time structure. In that paper, a recursive Abelian group was constructed which is not recursively isomorphic to any polynomial-time Abelian group. We now show that if every element of a recursive Abelian group has finite order, then the group is recursively isomorphic to a polynomial-time group. Furthermore, if the orders are bounded, then the group (...)
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  11.  26
    Choiceless polynomial time, counting and the Cai–Fürer–Immerman graphs.Anuj Dawar, David Richerby & Benjamin Rossman - 2008 - Annals of Pure and Applied Logic 152 (1):31-50.
    We consider Choiceless Polynomial Time , a language introduced by Blass, Gurevich and Shelah, and show that it can express a query originally constructed by Cai, Fürer and Immerman to separate fixed-point logic with counting from image. This settles a question posed by Blass et al. The program we present uses sets of unbounded finite rank: we demonstrate that this is necessary by showing that the query cannot be computed by any program that has a constant bound on the rank (...)
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  12. On polynomial time computation over unordered structures.Andreas Blass, Yuri Gurevich & Saharon Shelah - 2002 - Journal of Symbolic Logic 67 (3):1093-1125.
    This paper is motivated by the question whether there exists a logic capturing polynomial time computation over unordered structures. We consider several algorithmic problems near the border of the known, logically defined complexity classes contained in polynomial time. We show that fixpoint logic plus counting is stronger than might be expected, in that it can express the existence of a complete matching in a bipartite graph. We revisit the known examples that separate polynomial time from fixpoint plus counting. We show (...)
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  13.  21
    Polynomial-time versus recursive models.Douglas Cenzer & Jeffrey Remmel - 1991 - Annals of Pure and Applied Logic 54 (1):17-58.
    The central problem considered in this paper is whether a given recursive structure is recursively isomorphic to a polynomial-time structure. Positive results are obtained for all relational structures, for all Boolean algebras and for the natural numbers with addition, multiplication and the unary function 2x. Counterexamples are constructed for recursive structures with one unary function and for Abelian groups and also for relational structures when the universe of the structure is fixed. Results are also given which distinguish primitive recursive structures, (...)
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  14.  11
    On Polynomial-Time Relation Reducibility.Su Gao & Caleb Ziegler - 2017 - Notre Dame Journal of Formal Logic 58 (2):271-285.
    We study the notion of polynomial-time relation reducibility among computable equivalence relations. We identify some benchmark equivalence relations and show that the reducibility hierarchy has a rich structure. Specifically, we embed the partial order of all polynomial-time computable sets into the polynomial-time relation reducibility hierarchy between two benchmark equivalence relations Eλ and id. In addition, we consider equivalence relations with finitely many nontrivial equivalence classes and those whose equivalence classes are all finite.
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  15. Polynomial time operations in explicit mathematics.Thomas Strahm - 1997 - Journal of Symbolic Logic 62 (2):575-594.
    In this paper we study (self)-applicative theories of operations and binary words in the context of polynomial time computability. We propose a first order theory PTO which allows full self-application and whose provably total functions on W = {0, 1} * are exactly the polynomial time computable functions. Our treatment of PTO is proof-theoretic and very much in the spirit of reductive proof theory.
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  16. A polynomial time algorithm for determining Dag equivalence in the presence of latent variables and selection bias.Peter Spirtes - unknown
    if and only if for every W in V, W is independent of the set of all its non-descendants conditional on the set of its parents. One natural question that arises with respect to DAGs is when two DAGs are “statistically equivalent”. One interesting sense of “statistical equivalence” is “d-separation equivalence” (explained in more detail below.) In the case of DAGs, d-separation equivalence is also corresponds to a variety of other natural senses of statistical equivalence (such as representing the same (...)
     
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  17.  4
    Polynomial-time analogues of isolatedness.Leon Harkleroad - 1992 - Annals of Pure and Applied Logic 56 (1-3):173-182.
    Recently, Nerode and Remmel have developed a polynomial-time version of the theory of recursive equivalence types and have defined two analogues of isolatedness for that setting. This paper examines various properties of those two analogues and investigates their relationship to additive cancellability.
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  18.  21
    Automatic and polynomial-time algebraic structures.Nikolay Bazhenov, Matthew Harrison-Trainor, Iskander Kalimullin, Alexander Melnikov & Keng Meng Ng - 2019 - Journal of Symbolic Logic 84 (4):1630-1669.
    A structure is automatic if its domain, functions, and relations are all regular languages. Using the fact that every automatic structure is decidable, in the literature many decision problems have been solved by giving an automatic presentation of a particular structure. Khoussainov and Nerode asked whether there is some way to tell whether a structure has, or does not have, an automatic presentation. We answer this question by showing that the set of Turing machines that represent automata-presentable structures is ${\rm{\Sigma (...)
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  19.  25
    Polynomial time ultrapowers and the consistency of circuit lower bounds.Jan Bydžovský & Moritz Müller - 2020 - Archive for Mathematical Logic 59 (1-2):127-147.
    A polynomial time ultrapower is a structure given by the set of polynomial time computable functions modulo some ultrafilter. They model the universal theory \ of all polynomial time functions. Generalizing a theorem of Hirschfeld :111–126, 1975), we show that every countable model of \ is isomorphic to an existentially closed substructure of a polynomial time ultrapower. Moreover, one can take a substructure of a special form, namely a limit polynomial time ultrapower in the classical sense of Keisler Ultrafilters across (...)
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  20. Polynomial Time Operations in Explicit Mathematics.Thomas Strahm - 1997 - Journal of Symbolic Logic 62 (2):575-594.
    In this paper we study -applicative theories of operations and binary words in the context of polynomial time computability. We propose a first order theory PTO which allows full self-application and whose provably total functions on $\mathbb{W} = \{0, 1\}^\ast$ are exactly the polynomial time computable functions. Our treatment of PTO is proof-theoretic and very much in the spirit of reductive proof theory.
     
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  21.  43
    The Analytic Polynomial-Time Hierarchy.Herbert Baier & Klaus W. Wagner - 1998 - Mathematical Logic Quarterly 44 (4):529-544.
    Motivated by results on interactive proof systems we investigate an ∃-∀hierarchy over P using word quantifiers as well as two types of set quantifiers. This hierarchy, which extends the polynomial-time hierarchy, is called the analytic polynomial-time hierarchy. It is shown that every class of this hierarchy coincides with one of the following Classes: ∑math image, Πmath image , PSPACE, ∑math image or Πmath image . This improves previous results by Orponen [6] and allows interesting comparisons with the above mentioned results (...)
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  22.  20
    Polynomial-time Martin-Löf type theory.L. Pe Joseph - 1992 - Archive for Mathematical Logic 32 (2):137-150.
    Fragments of extensional Martin-Löf type theory without universes,ML 0, are introduced that conservatively extend S.A. Cook and A. Urquhart'sIPV ω. A model for these restricted theories is obtained by interpretation in Feferman's theory APP of operators, a natural model of which is the class of partial recursive functions. In conclusion, some examples in group theory are considered.
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  23.  10
    Polynomial Time Operations in Explicit Mathematics.Thomas Strahm & Andrea Cantini - 2002 - Bulletin of Symbolic Logic 8 (4):534-535.
  24.  21
    A polynomial time algorithm for Zero-Clairvoyant scheduling.K. Subramani - 2007 - Journal of Applied Logic 5 (4):667-680.
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  25.  22
    Elementary explicit types and polynomial time operations.Daria Spescha & Thomas Strahm - 2009 - Mathematical Logic Quarterly 55 (3):245-258.
    This paper studies systems of explicit mathematics as introduced by Feferman [9, 11]. In particular, we propose weak explicit type systems with a restricted form of elementary comprehension whose provably terminating operations coincide with the functions on binary words that are computable in polynomial time. The systems considered are natural extensions of the first-order applicative theories introduced in Strahm [19, 20].
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  26.  64
    Admissible closures of polynomial time computable arithmetic.Dieter Probst & Thomas Strahm - 2011 - Archive for Mathematical Logic 50 (5):643-660.
    We propose two admissible closures $${\mathbb{A}({\sf PTCA})}$$ and $${\mathbb{A}({\sf PHCA})}$$ of Ferreira’s system PTCA of polynomial time computable arithmetic and of full bounded arithmetic (or polynomial hierarchy computable arithmetic) PHCA. The main results obtained are: (i) $${\mathbb{A}({\sf PTCA})}$$ is conservative over PTCA with respect to $${\forall\exists\Sigma^b_1}$$ sentences, and (ii) $${\mathbb{A}({\sf PHCA})}$$ is conservative over full bounded arithmetic PHCA for $${\forall\exists\Sigma^b_{\infty}}$$ sentences. This yields that (i) the $${\Sigma^b_1}$$ definable functions of $${\mathbb{A}({\sf PTCA})}$$ are the polytime functions, and (ii) the $${\Sigma^b_{\infty}}$$ definable (...)
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  27. On the difference between polynomial-time many-one and truth-table.Shin Aida, Rainer Schuler, Tatsuie Tsukiji & Osamu Watanabe - 1992 - Complexity 44:193-219.
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  28.  2
    Reasoning about action in polynomial time.Thomas Drakengren & Marcus Bjäreland - 1999 - Artificial Intelligence 115 (1):1-24.
  29.  8
    Cancellation laws for polynomial-time p-isolated sets.John N. Crossley & J. B. Remmel - 1992 - Annals of Pure and Applied Logic 56 (1-3):147-172.
    A universal Horn sentence in the language of polynomial-time computable combinatorial functions of natural numbers is true for the natural numbers if, and only if, it is true for PETs of p-time p-isolated sets with functions induced by fully p-time combinatorial operators.
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  30.  10
    Addendum to “Choiceless polynomial time”.Andreas Blass, Yuri Gurevich & Saharon Shelah - 2001 - Annals of Pure and Applied Logic 112 (1):117.
  31.  10
    Addendum to “Choiceless polynomial time”: Ann. Pure Appl. Logic 100 (1999) 141–187.Andreas Blass, Yuri Gurevich & Saharon Shelah - 2001 - Annals of Pure and Applied Logic 112 (1):117.
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  32.  5
    A near-optimal polynomial time algorithm for learning in certain classes of stochastic games.Ronen I. Brafman & Moshe Tennenholtz - 2000 - Artificial Intelligence 121 (1-2):31-47.
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  33.  30
    Non‐associative Lambek Categorial Grammar in Polynomial Time.Erik Aarts & Kees Trautwein - 1995 - Mathematical Logic Quarterly 41 (4):476-484.
    We present a new axiomatization of the non-associative Lambek calculus. We prove that it takes polynomial time to reduce any non-associative Lambek categorial grammar to an equivalent context-free grammar. Since it is possible to recognize a sentence generated by a context-free grammar in polynomial time, this proves that a sentence generated by any non-associative Lambek categorial grammar can be recognized in polynomial time.
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  34.  28
    The structure of the honest polynomial m-degrees.Rod Downey, William Gasarch & Michael Moses - 1994 - Annals of Pure and Applied Logic 70 (2):113-139.
    We prove a number of structural theorems about the honest polynomial m-degrees contingent on the assumption P = NP . In particular, we show that if P = NP , then the topped finite initial segments of Hm are exactly the topped finite distributive lattices, the topped initial segments of Hm are exactly the direct limits of ascending sequences of finite distributive lattices, and all recursively presentable distributive lattices are initial segments of Hm ∩ RE. Additionally, assuming ¦∑¦ = (...)
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  35.  8
    Networked bubble propagation: a polynomial-time hypothetical reasoning method for computing near-optimal solutions.Yukio Ohsawa & Mitsuru Ishizuka - 1997 - Artificial Intelligence 91 (1):131-154.
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  36.  17
    On the existence of polynomial time algorithms for interpolation problems in propositional logic.E. Dahlhaus, A. Israeli & J. A. Makowsky - 1988 - Notre Dame Journal of Formal Logic 29 (4):497-509.
  37.  24
    Max sat approximation beyond the limits of polynomial-time approximation.Evgeny Dantsin, Michael Gavrilovich, Edward A. Hirsch & Boris Konev - 2001 - Annals of Pure and Applied Logic 113 (1-3):81-94.
    We describe approximation algorithms for MAX SAT with performance ratios arbitrarily close to 1, in particular, when performance ratios exceed the limits of polynomial-time approximation. Namely, given a polynomial-time α-approximation algorithm , we construct an -approximation algorithm . The algorithm runs in time of the order ck, where k is the number of clauses in the input formula and c is a constant depending on α. Thus we estimate the cost of improving a performance ratio. Similar constructions for MAX 2SAT (...)
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  38.  16
    Relating the bounded arithmetic and polynomial time hierarchies.Samuel R. Buss - 1995 - Annals of Pure and Applied Logic 75 (1-2):67-77.
    The bounded arithmetic theory S2 is finitely axiomatized if and only if the polynomial hierarchy provably collapses. If T2i equals S2i + 1 then T2i is equal to S2 and proves that the polynomial time hierarchy collapses to ∑i + 3p, and, in fact, to the Boolean hierarchy over ∑i + 2p and to ∑i + 1p/poly.
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  39.  46
    Light affine set theory: A naive set theory of polynomial time.Kazushige Terui - 2004 - Studia Logica 77 (1):9 - 40.
    In [7], a naive set theory is introduced based on a polynomial time logical system, Light Linear Logic (LLL). Although it is reasonably claimed that the set theory inherits the intrinsically polytime character from the underlying logic LLL, the discussion there is largely informal, and a formal justification of the claim is not provided sufficiently. Moreover, the syntax is quite complicated in that it is based on a non-traditional hybrid sequent calculus which is required for formulating LLL.In this paper, we (...)
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  40.  20
    Higher type recursion, ramification and polynomial time.Stephen J. Bellantoni, Karl-Heinz Niggl & Helmut Schwichtenberg - 2000 - Annals of Pure and Applied Logic 104 (1-3):17-30.
    It is shown how to restrict recursion on notation in all finite types so as to characterize the polynomial-time computable functions. The restrictions are obtained by using a ramified type structure, and by adding linear concepts to the lambda calculus.
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  41.  76
    Light affine lambda calculus and polynomial time strong normalization.Kazushige Terui - 2007 - Archive for Mathematical Logic 46 (3-4):253-280.
    Light Linear Logic (LLL) and Intuitionistic Light Affine Logic (ILAL) are logics that capture polynomial time computation. It is known that every polynomial time function can be represented by a proof of these logics via the proofs-as-programs correspondence. Furthermore, there is a reduction strategy which normalizes a given proof in polynomial time. Given the latter polynomial time “weak” normalization theorem, it is natural to ask whether a “strong” form of polynomial time normalization theorem holds or not. In this paper, we (...)
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  42.  98
    Proving theorems of the second order Lambek calculus in polynomial time.Erik Aarts - 1994 - Studia Logica 53 (3):373 - 387.
    In the Lambek calculus of order 2 we allow only sequents in which the depth of nesting of implications is limited to 2. We prove that the decision problem of provability in the calculus can be solved in time polynomial in the length of the sequent. A normal form for proofs of second order sequents is defined. It is shown that for every proof there is a normal form proof with the same axioms. With this normal form we can give (...)
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  43.  19
    Primality testing in polynomial time—from randomized algorithms to “PRIMES is in P”. [REVIEW]Charles Rackoff - 2006 - Bulletin of Symbolic Logic 12 (3):494-496.
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  44.  23
    A schematic definition of quantum polynomial time computability.Tomoyuki Yamakami - 2020 - Journal of Symbolic Logic 85 (4):1546-1587.
    In the past four decades, the notion of quantum polynomial-time computability has been mathematically modeled by quantum Turing machines as well as quantum circuits. This paper seeks the third model, which is a quantum analogue of the schematic definition of recursive functions. For quantum functions mapping finite-dimensional Hilbert spaces to themselves, we present such a schematic definition, composed of a small set of initial quantum functions and a few construction rules that dictate how to build a new quantum function from (...)
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  45.  11
    On the lattices of NP-subspaces of a polynomial time vector space over a finite field.Anil Nerode & J. B. Remmel - 1996 - Annals of Pure and Applied Logic 81 (1-3):125-170.
    In this paper, we study the lower semilattice of NP-subspaces of both the standard polynomial time representation and the tally polynomial time representation of a countably infinite dimensional vector space V∞ over a finite field F. We show that for both the standard and tally representation of V∞, there exists polynomial time subspaces U and W such that U + V is not recursive. We also study the NP analogues of simple and maximal subspaces. We show that the existence of (...)
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  46.  42
    Deciding confluence of certain term rewriting systems in polynomial time.Guillem Godoy, Ashish Tiwari & Rakesh Verma - 2004 - Annals of Pure and Applied Logic 130 (1-3):33-59.
    We present a characterization of confluence for term rewriting systems, which is then refined for special classes of rewriting systems. The refined characterization is used to obtain a polynomial time algorithm for deciding the confluence of ground term rewrite systems. The same approach also shows the decidability of confluence for shallow and linear term rewriting systems. The decision procedure has a polynomial time complexity under the assumption that the maximum arity of a function symbol in the signature is a constant.
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  47.  45
    Computing the Weighted Isolated Scattering Number of Interval Graphs in Polynomial Time.Fengwei Li, Xiaoyan Zhang, Qingfang Ye & Yuefang Sun - 2019 - Complexity 2019:1-8.
    The scattering number and isolated scattering number of a graph have been introduced in relation to Hamiltonian properties and network vulnerability, and the isolated scattering number plays an important role in characterizing graphs with a fractional 1-factor. Here we investigate the computational complexity of one variant, namely, the weighted isolated scattering number. We give a polynomial time algorithm to compute this parameter of interval graphs, an important subclass of perfect graphs.
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  48.  10
    Review: Thomas Strahm, Polynomial Time Operations in Explicit Mathematics ; Andrea Cantini, Feasible Operations and Applicative Theories Based on $\lambda \eta $. [REVIEW]Fernando Ferreira - 2002 - Bulletin of Symbolic Logic 8 (4):534-535.
  49.  40
    Thomas Strahm. Polynomial time operations in explicit mathematics. The journal of symbolic logic, vol. 62 , pp. 575–594. - Andrea Cantini. Feasible operations and applicative theories based on λη. Mathematical logic quarterly, vol. 46 , pp. 291–312. [REVIEW]Fernando Ferreira - 2002 - Bulletin of Symbolic Logic 8 (4):534-535.
  50.  11
    Universal first-order logic is superfluous in the second level of the polynomial-time hierarchy.Nerio Borges & Edwin Pin - 2019 - Logic Journal of the IGPL 27 (6):895-909.
    In this paper we prove that $\forall \textrm{FO}$, the universal fragment of first-order logic, is superfluous in $\varSigma _2^p$ and $\varPi _2^p$. As an example, we show that this yields a syntactic proof of the $\varSigma _2^p$-completeness of value-cost satisfiability. The superfluity method is interesting since it gives a way to prove completeness of problems involving numerical data such as lengths, weights and costs and it also adds to the programme started by Immerman and Medina about the syntactic approach in (...)
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