A New Greedy Algorithm to Find Simple Components
A simple greedy algorithm for reconstructing pedigrees
... a simple greedy-search algorithm for finding high-likelihood pedigrees using micro-satellite (STR) genotype information on a complete sam- ple of related ...the algorithm is not new, ...
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Simple Greedy Algorithms for Fundamental Multidimensional Graph Problems
... propose Algorithm 4 which, starting from the set of rooted weakly connected com- ponents of G obtained by considering all nodes in V as singletons, repeatedly merges rooted weakly connected components of G ...
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On a greedy algorithm to construct universal cycles for permutations
... our greedy algorithm will never result in the optimum size of the alphabet, which is n + 1 for n-permutations, because of the first n steps of the algorithm when we are forced to use new ...
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II. METHODOLOGY USED BY RESEARCHERS: Greedy Algorithm: In the Greedy Algorithm MPR node is a set node which is the union of the MPR sets
... Each node maintains a routing table and calculates its routing table using CPWF technique so as to find an optimal power path. In this approach the initial power allocation vector always satisfies the power ...
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Operation Sequencing Using Genetic Algorithm with Greedy Crossover
... Genetic Algorithm (GA) is an efficient optimization algorithm characterized with explicit parallelism and robustness, applicable to ...use simple GA; will use Greedy Crossover instead of ...
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New Algorithm - Simulation Connected Components Labeling for Binary Images.
... The new developed algorithm is totally different and it does not go through black boundaries but it goes around them to mark their ...connected components efficiently and it requires much less ...
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Retrospective Identification of Bull and Bear Markets: A new, but simple Algorithm
... to find out whether different assets do or do not correlate (positively or negatively) with each ...an algorithm for the identification of bull and bear markets, which therefore is simply called the IBB ...
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Greedy heuristic algorithm for solving series of EEEcomponents classification problems
... agglomerative greedy heuristics demonstrate precise and stable results for clustering problems based on k- means and p-median ...EEE components for using in space systems which include testing each EEE ...
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Finding Ordinary Cube Variables for Keccak-MAC with Greedy Algorithm
... to find ordinary cube variables for Keccak-MAC by making full use of the key- independent bit ...our new method to recover the 128-bit key, the conditional cube attack on 7-round Keccak-MAC-128/256/384 is ...
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A Novel Approach on Greedy Maximal Scheduling Algorithm on Embedded Networks
... called Greedy Maximal Scheduling (GMS) is a good candidate because its empirically observed performance is close to optimal in a variety of network ...develop simple distributed greedy algorithms for ...
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Greedy Algorithm
... a simple greedy algorithm for finding a sparse monotone regression using Frank–Wolfe-type ...pool-adjacent-violators algorithm (PAVA) using simulated ...
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A Greedy Algorithm for Constraint Principal Curves
... a Greedy algorithm based on dichotomy and simple averaging, named as KPCg ...KPCg algorithm and we compare it with the k-segment algorithm proposed by ...KPCg algorithm can ...
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A Greedy Algorithm for a Sparse Scalet Decomposition
... a new insight on the sparse ...Different greedy algorithms were built from the use of redundant wavelet transforms (pyramidal and `a trous ones), for 1D signals and 2D ...
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Adaptive Greedy Algorithm With Application to Nonlinear Communications
... the greedy viewpoint. Greedy algorithms in their ordinary mode of operation, have an inherent batch mode, and hence are not suitable for time- varying ...turns greedy algorithms into adaptive schemes ...
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CiteSeerX — A greedy algorithm for aligning DNA sequences
... the greedy algorithm has considered three operations, ...an algorithm that nds a set of operations converting one given sequence to another at minimum total ...a greedy-style ...
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Rescaled Pure Greedy Algorithm for Convex Optimization
... While classical convex optimization deals with objective functions E defined on sub- sets Ω in IR n for moderate values of n, see [2], some of the new applications require that the dimension n is quite large or ...
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Adaptive Greedy Algorithm With Application to Nonlinear Communications
... CoSaMP/SP algorithm, corresponding to a batch of data of size ...CoSaMP/SP algorithm is inherited by the LMS iteration, where only the sub-vector of φ(n) corresponding to Λ(n) and w |Λ(n) participate in the ...
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Performance Evaluation of Weighted Greedy Algorithm in Resource Management
... The greedy algorithm might not give optimal solution every time, but the result is most of the time good ...the simple implementation, it is worth using ...of Greedy algorithms people use ...
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A greedy algorithm for tolerating defective crosspoints in nanoPLA design
... Nonetheless, nanoscale features, both in the sublithographic and lithographic arenas, come with a new set of challenges. Notably, as devices become smaller, they are constructed from fewer and fewer atoms and ...
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On the Generality of the Greedy Algorithm for Solving Matroid Base Problems
... and new – objectives can be modeled. We show that the greedy algorithm is applicable to a larger class of objective functions than commonly known and, as such, it solves universal matroid base ...
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