Search results for "Algorithm"

showing 10 items of 4887 documents

Tally languages accepted by Monte Carlo pushdown automata

1997

Rather often difficult (and sometimes even undecidable) problems become easily decidable for tally languages, i.e. for languages in a single-letter alphabet. For instance, the class of languages recognizable by 1-way nondeterministic pushdown automata equals the class of the context-free languages, but the class of the tally languages recognizable by 1-way nondeterministic pushdown automata, contains only regular languages [LP81]. We prove that languages over one-letter alphabet accepted by randomized one-way 1-tape Monte Carlo pushdown automata are regular. However Monte Carlo pushdown automata can be much more concise than deterministic 1-way finite state automata.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordTheoretical computer scienceComputational complexity theoryComputer scienceDeterministic pushdown automatonTuring machinesymbols.namesakeRegular languageComputer Science::Logic in Computer ScienceQuantum finite automataNondeterministic finite automatonDiscrete mathematicsFinite-state machineDeterministic context-free languageComputabilityDeterministic context-free grammarContext-free languagePushdown automatonAbstract family of languagesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Cone (formal languages)Embedded pushdown automatonUndecidable problemNondeterministic algorithmTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonsymbolsComputer Science::Programming LanguagesAlphabetComputer Science::Formal Languages and Automata Theory
researchProduct

Some Afterthoughts on Hopfield Networks

1999

In the present paper we investigate four relatively independent issues, which complete our knowledge regarding the computational aspects of popular Hopfield nets. In Section 2 of the paper, the computational equivalence of convergent asymmetric and Hopfield nets is shown with respect to network size. In Section 3, the convergence time of Hopfield nets is analyzed in terms of bit representations. In Section 4, a polynomial time approximate algorithm for the minimum energy problem is shown. In Section 5, the Turing universality of analog Hopfield nets is studied. peerReviewed

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESQuantitative Biology::Neurons and CognitionComputer scienceParallel algorithmHopfield netsApproximation algorithmSection (fiber bundle)Hopfield networknetworksHopfieldAlgorithmTime complexityEquivalence (measure theory)Energy (signal processing)
researchProduct

Ultrametric Finite Automata and Turing Machines

2013

We introduce a notion of ultrametric automata and Turing machines using p-adic numbers to describe random branching of the process of computation. These automata have properties similar to the properties of probabilistic automata but complexity of probabilistic automata and complexity of ultrametric automata can differ very much.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceComputer scienceSuper-recursive algorithmProbabilistic Turing machineDescription numberNonlinear Sciences::Cellular Automata and Lattice GasesTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTuring completenesssymbolsQuantum finite automataAutomata theoryTwo-way deterministic finite automatonComputer Science::Formal Languages and Automata TheoryMathematicsofComputing_DISCRETEMATHEMATICS
researchProduct

FINITE AUTOMATA WITH ADVICE TAPES

2014

We define a model of advised computation by finite automata where the advice is provided on a separate tape. We consider several variants of the model where the advice is deterministic or randomized, the input tape head is allowed real-time, one-way, or two-way access, and the automaton is classical or quantum. We prove several separation results among these variants, demonstrate an infinite hierarchy of language classes recognized by automata with increasing advice lengths, and establish the relationships between this and the previously studied ways of providing advice to finite automata.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceComputer scienceω-automatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonDeterministic automatonComputer Science (miscellaneous)Automata theoryQuantum finite automataTwo-way deterministic finite automatonNondeterministic finite automatonAdvice (complexity)AlgorithmComputer Science::Formal Languages and Automata TheoryInternational Journal of Foundations of Computer Science
researchProduct

How to simulate free will in a computational device

1999

Since we believe that human brain is not a purely deterministic device merely reacting to the environment but rather it is capable to a free will, Theoretical Computer Science has also tried to develop a system of notions generalizing determinism. Nondeterministic and probabilistic algorithms were the first generalizations. Nondeterministic machines constitute an important part of the Theory of Computation. Nondeterminism is a useful way to describe possible choices. In real life there are many regulations restricting our behavior. These regulations nearly always leave some freedom for us how to react. Such regulations are best described in terms of nondeterministic algorithms. Nondetermini…

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceProperty (philosophy)General Computer ScienceComputer scienceProbabilistic logicDeterminismTheoretical Computer ScienceMoment (mathematics)Nondeterministic algorithmTuring machinesymbols.namesakeTheory of computationsymbolsProbabilistic analysis of algorithmsACM Computing Surveys
researchProduct

Quantum Real - Time Turing Machine

2001

The principles of quantum computation differ from the principles of classical computation very much. Quantum analogues to the basic constructions of the classical computation theory, such as Turing machine or finite 1-way and 2-ways automata, do not generalize deterministic ones. Their capabilities are incomparable. The aim of this paper is to introduce a quantum counterpart for real - time Turing machine. The recognition of a special kind of language, that can't be recognized by a deterministic real - time Turing machine, is shown.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceQuantum Turing machineDTIMEComputer scienceProbabilistic Turing machine2-EXPTIMESuper-recursive algorithmComputationDescription numberDSPACElaw.inventionsymbols.namesakeTuring machineTuring completenessNon-deterministic Turing machinelawAlgorithm characterizationsQuantumPSPACEQuantum computerFinite-state machineTuring machine examplesNSPACETheoryofComputation_GENERALAutomatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTuring reductionTheory of computationsymbolsUniversal Turing machineTime hierarchy theoremAlternating Turing machineComputer Science::Formal Languages and Automata TheoryRegister machine
researchProduct

Space-Efficient 1.5-Way Quantum Turing Machine

2001

1.5QTM is a sort of QTM (Quantum Turing Machine) where the head cannot move left (it can stay where it is and move right). For computations is used other - work tape. In this paper will be studied possibilities to economize work tape space more than the same deterministic Turing Machine can do (for some of the languages). As an example language (0i1i|i ≥ 0) is chosen, and is proved that this language could be recognized by deterministic Turing machine using log(i) cells on work tape , and 1.5QTM can recognize it using constant cells quantity.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceQuantum Turing machineSuper-recursive algorithmComputer scienceProbabilistic Turing machineComputationDescription numberMultitape Turing machineDSPACElaw.inventionTuring machinesymbols.namesakeNon-deterministic Turing machinelawAlgorithm characterizationsPSPACEWolfram's 2-state 3-symbol Turing machineTuring machine examplesNSPACETuring reductionsymbolsUniversal Turing machineTime hierarchy theoremAlternating Turing machineRegister machine
researchProduct

Automata and forbidden words

1998

Abstract Let L ( M ) be the (factorial) language avoiding a given anti-factorial language M . We design an automaton accepting L ( M ) and built from the language M . The construction is effective if M is finite. If M is the set of minimal forbidden words of a single word ν, the automaton turns out to be the factor automaton of ν (the minimal automaton accepting the set of factors of ν). We also give an algorithm that builds the trie of M from the factor automaton of a single word. It yields a nontrivial upper bound on the number of minimal forbidden words of a word.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Büchi automaton0102 computer and information sciences02 engineering and technologyω-automaton01 natural sciencesTheoretical Computer ScienceCombinatoricsDeterministic automaton0202 electrical engineering electronic engineering information engineeringTwo-way deterministic finite automatonNondeterministic finite automatonMathematicsPowerset constructionLevenshtein automaton020206 networking & telecommunicationsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science ApplicationsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematicsSignal ProcessingProbabilistic automatonComputer Science::Programming LanguagesComputer Science::Formal Languages and Automata TheoryInformation Systems
researchProduct

Minimal forbidden words and factor automata

1998

International audience; Let L(M) be the (factorial) language avoiding a given antifactorial language M. We design an automaton accepting L(M) and built from the language M. The construction is eff ective if M is finite. If M is the set of minimal forbidden words of a single word v, the automaton turns out to be the factor automaton of v (the minimal automaton accepting the set of factors of v). We also give an algorithm that builds the trie of M from the factor automaton of a single word. It yields a non-trivial upper bound on the number of minimal forbidden words of a word.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESfailure functionfactor code[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Büchi automatonComputerApplications_COMPUTERSINOTHERSYSTEMS[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciencesavoiding a wordω-automaton01 natural sciencesfactorial languageReversible cellular automatonCombinatoricsDeterministic automatonanti-factorial languageNondeterministic finite automaton0101 mathematicsMathematicsfactor automatonPowerset constructionLevenshtein automaton010102 general mathematicsforbidden wordComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)16. Peace & justiceNonlinear Sciences::Cellular Automata and Lattice GasesTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematicsProbabilistic automatonPhysics::Accelerator PhysicsComputer Science::Programming LanguagesHigh Energy Physics::ExperimentComputer Science::Formal Languages and Automata Theory
researchProduct

Upper bounds on multiparty communication complexity of shifts

1996

We consider some communication complexity problems which arise when proving lower bounds on the complexity of Boolean functions. In particular, we prove an \(O(\frac{n}{{2\sqrt {\log n} }}\log ^{1/4} n)\)upper bound on 3-party communication complexity of shifts, an O(n e ) upper bound on the multiparty communication complexity of shifts for a polylogarithmic number of parties. These bounds are all significant improvements over ones recently considered “unexpected” by Pudlak [5].

TheoryofComputation_MISCELLANEOUSDiscrete mathematicsCombinatoricsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYCommunication complexityBinary logarithmBoolean functionUpper and lower boundsMultiparty communicationMathematics
researchProduct