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Computational complexity of random access stored program machines
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0019-9958(65)90399-2openalex-snapshot
One-tape, off-line Turing machine computations
inferredcites →https://doi.org/10.1016/s0022-0000(68)80027-3openalex-snapshot
Tape-reversal bounded turing machine computations
inferredcites →https://doi.org/10.1090/s0002-9947-1965-0170805-7openalex-snapshot
On the Computational Complexity of Algorithms
inferredcites →https://doi.org/10.1109/swat.1968.33openalex-snapshot
Tape reversal complexity hierarchies
inferredcites →https://doi.org/10.1145/321239.321240openalex-snapshot
Random-Access Stored-Program Machines, an Approach to Programming Languages
inferredcites →https://doi.org/10.1145/321356.321362openalex-snapshot
Two-Tape Simulation of Multitape Turing Machines
inferredcites →https://doi.org/10.1145/321386.321395openalex-snapshot
A Machine-Independent Theory of the Complexity of Recursive Functions
inferredcites →https://doi.org/10.1145/321450.321464openalex-snapshot
Computational Complexity of One-Tape Turing Machine Computations
inferredcites →https://doi.org/10.1145/800169.805423openalex-snapshot
Classes of computable functions defined by bounds on computation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Non-existence of program optimizers in an abstract setting
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Optimal rasp programs for arbitrarily complex 0–1 valued functions
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Complexity of Sequence Encodings
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Optimizing Compilation and Computational Complexity of Constraint Handling Rules
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Parallel random access machines with powerful instruction sets
inferred← citeshttps://doi.org/10.1007/s002360000038openalex-snapshot
Computational complexity via programming languages: constant factors do matter
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Priority queues with update and finding minimum spanning trees
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BSF: A parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems
inferred← citeshttps://doi.org/10.1016/s0022-0000(73)80029-7openalex-snapshot
Time bounded random access machines
inferred← citeshttps://doi.org/10.1016/s0022-0000(76)80008-6openalex-snapshot
Nonexistence of program optimizers in several abstract settings
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A characterization of the power of vector machines
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From Turing machines to computer viruses
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High performance analysis and control of complex systems using dynamically reconfigurable silicon and optical fiber memory
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The Transitive Reduction of a Directed Graph
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On Families of Languages Defined by Time-Bounded Random Access Machines
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Computational Complexity of Multiple Recursive Schemata
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The Hamiltonian Circuit Problem is Polynomial for 4-Connected Planar Graphs
inferred← citeshttps://doi.org/10.1145/1008311.1008315openalex-snapshot
Microprogrammed random access stored program machines
inferred← citeshttps://doi.org/10.1145/322108.322119openalex-snapshot
Time Bounded Random Access Machines with Parallel Processing
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Time-bounded random access machines
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Predecessor machines and regressing functions
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Some thoughts on graduate education in computer science
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Applications of Support Vector-Based Learning
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Survey of Parallel Computation Models
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FORMAL VERIFICATION OF PROGRAMS FOR ABSTRACT REGISTER MACHINES
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Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim
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