polynomial time complexity algorithm
Synchronous Context Free Grammars and Optimal Parsing Strategies
... SCFG, complexity can be reduced by factoring the parsing of a grammar rule into a sequence of smaller steps, which we refer to as a parsing ...optimal time and space complexity. For time ...
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Practical polynomial factoring in polynomial time
... Their algorithm for factoring had a polynomial time complexity bound but was not the algorithm of choice for most computer algebra systems as Zassenhaus was more practical for the ...
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An improved polynomial time algorithm for computing the refined Buneman tree
... in complexity it provides for the Re- ned Buneman problem, the quartet merge sort technique detailed in this paper seems promising for tackling other similar problems, ...
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Primality Testing is Polynomial time: A Mechanised Verification of the AKS Algorithm
... AKS algorithm correctly give a primality test for any input number ...AKS algorithm (Theorems 108 and ...AKS algorithm. We venture to the next part, the computational complexity of the AKS ...
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QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming
... too time-consuming to be a practical solution for delay-sensitive video ...execution time of the caching placement algorithm in prac- tice, we convert the original optimization problem to an ...
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Practical Polynomial Factoring in Polynomial Time
... Their algorithm for factoring had a polynomial time complexity bound but was not the algorithm of choice for most computer algebra systems as Zassenhaus was more practical for the ...
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A polynomial time algorithm for reachability in branching VASS in dimension one
... the complexity of coverability and boundedness are well-understood and known to be EXPSPACE-complete [12, 14], the precise complexity of reachability remains a major unsolved problem; a non-primitive ...
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Exact Maximum-Likelihood Decoding of Large linear Codes
... of polynomial-time suboptimal decoding algorithms that provide an ML certificate and the ability to compute the probability that the suboptimal decoder yields the ML ...) algorithm based on the work ...
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A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series
... ing algorithm specifically developed for time series expression data analysis, that finds and reports all maxi- mal contiguous column coherent biclusters with approxi- mate expression patterns in ...
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A polynomial-time algorithm for a flow-shop batching problem with equal-length operations
... constant time whether j is contained in a B ν -block B ν j or in a A ν -block A ν j at level ...n) time. The overall time complexity of each of the procedures Updateleft and Updateright is ...
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Algorithm to Compute Sudoku Solution by Using Constraint Satisfaction and Permutation in Polynomial Time
... ABSTRACT: A standard Sudoku puzzle has a 9 x 9 grid which is to be filled with numbers 1-9 in such a way that the numbers are not repeated in individual row, column or the 9 mini-grids of 3 x 3. A partially filled grid ...
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Learning Factor Graphs in Polynomial Time and Sample Complexity
... inference is tractable, there have been two main research tracks for ML structure learning. The first, starting with the work of Della Pietra et al. (1997), uses local-search heuristics to add factors into the network ...
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Practical polynomial factoring in polynomial time
... our algorithm is comparable on these worst case ...factoring algorithm will include many tricks for special cases, techniques, heuristics, and optimizations which our code is still ...this algorithm ...
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Parameterized complexity : permutation patterns, graph arrangements, and matroid parameters
... Proof. Let M be the input matroid and (T, f ) the output of the Algorithm 1. Clearly, T is a tree and f a mapping from E(M ) to V (T ). Thus, we need to verify the two conditions from Definition 51. Establishing ...
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Computational issues in complex network analysis
... Algorithm Complexity Running Time for Algorithms: e.g., Complexity using big-O notation run time.. The running times rounded up of different algorithms on inputs of increasing size[r] ...
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Semantics and complexity of recursive aggregates in answer set programming
... putational complexity of the language in depth, drawing a full picture of the com- plexity of the ASP fragments where negation and/or disjunction are combined with different kinds of aggregates (monotone, ...
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A reduction of Semigroup DLP to classic DLP
... Consider the simple case with P defined using a permutation π on {0, . . . , p − 1} as in the last paragraph preceding Definition 9. Assume that the exponent k is in {1, . . . , N }, where N is exponential in the ...
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On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
... ing of a local optimum that, once escaped, allows the iden- tification of a new slope of increasing fitness. For this class of functions we rigorously prove that the hyper-heuristic ef- ficiently escapes the local optima ...
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Research on the Detection of Network Intrusion Prevention With Svm Based Optimization Algorithm
... optimization algorithm (WOA) [13] was used to obtain the optimal value of parameters in this study, and SVM was ...optimization algorithm based on the simulation of whale hunting ...
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Embeddings Between Circulant Networks and Hypertrees
... An overlay network is a computer network which is built on the top of another network. Nodes in the overlay can be thought of as being connected by virtual or logical links, each of which corresponds to a path, perhaps ...
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