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[PDF] Top 20 Average case analysis of algorithms for the maximum subarray problem

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Average case analysis of algorithms for the maximum subarray problem

Average case analysis of algorithms for the maximum subarray problem

... Spira introduced the cost of an increased number of candidates that must be examined during the labeling process by cutting the time spent scanning adjacency lists looking for useful edges. Spira makes an important ... See full document

135

Algorithms for K disjoint maximum subarrays

Algorithms for K disjoint maximum subarrays

... The maximum subarray problem is to find the array por- tion that maximizes the sum of array elements in ...disjoint maximum subarrays, Ruzzo and Tompa gave an O(n) time solution for ... See full document

8

Average Case and Distributional Analysis of Dual-Pivot Quicksort

Average Case and Distributional Analysis of Dual-Pivot Quicksort

... worst case, Quicksort has quadratic complexity, namely if in every partitioning step, the pivot is the smallest or largest element of the current ...precise average case analysis of his ... See full document

41

Average Case Analysis of the 2 opt Heuristic for the TSP

Average Case Analysis of the 2 opt Heuristic for the TSP

... the average-case approximation ratios, which can be dominated by completely random instances that do not represent the real-life instances ...Smoothed analysis Spielman and Teng (2004) forms a hybrid ... See full document

45

Multiple Tabu Search for Multiobjective Urban Transit Scheduling Problem

Multiple Tabu Search for Multiobjective Urban Transit Scheduling Problem

... the case of 4 routes (see Table 2), the proposed MTS algorithms improved the number of buses, total waiting times, average route headways and maximum route headways as compared to the values ... See full document

24

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

... complexity analysis with better dependence on problem size than interior point ...the algorithms we developed for the Gaussian case can also be used to solve an approximate sparse ... See full document

32

Analysis of Reactive Search Optimisation Techniques for the Maximum Clique Problem and Applications

Analysis of Reactive Search Optimisation Techniques for the Maximum Clique Problem and Applications

... the maximum clique on all runs. The maximum computational budget allocated is 100,000,000 ...the algorithms having an identical performance at sig- nificance level α = ...the maximum clique ... See full document

215

Smoothing Algorithms by Constrained Maximum Likelihood

Smoothing Algorithms by Constrained Maximum Likelihood

... Acknowledgements: The author would like to thank both referees for suggesting the extended discussion to cover the case when default correlation is assumed, and the likelihood ratio test for the constrained ... See full document

11

Maximum Margin Algorithms with Boolean Kernels

Maximum Margin Algorithms with Boolean Kernels

... the maximum margin hypothesis will overfit the ...the maximum margin hypothesis directly, and in particular it does not necessarily follow the overfitting scheme of the simple ...our analysis uses ... See full document

25

Maximum Common Subgraph Isomorphism Algorithms

Maximum Common Subgraph Isomorphism Algorithms

... the maximum clique in the modular product of two graphs using the algorithm of Grosso et ...the maximum radius (in topological distance) at which two vertices have identical circular ... See full document

24

An  Algorithmic  Framework  for  the  Generalized  Birthday  Problem

An Algorithmic Framework for the Generalized Birthday Problem

... dissection algorithms. In Subsection 3.4, we show how exhaustive algorithms for K = 2 and K = 4 were efficiently adapted to basic algorithms that output a limited number of ...phase algorithms ... See full document

39

The Maximum Hamilton Path Problem with Parameterized Triangle Inequality

The Maximum Hamilton Path Problem with Parameterized Triangle Inequality

... [3] M. L. Fisher, G. L. Nemhauser and L. A. Wolsey, “An Analysis of Approximation for Finding a Maximum Weight Hamiltonian Circuit,” Operations Research, Vol. 27, No. 4, 1979, pp. 799-809. ... See full document

5

Interference aware multi hop path selection for device to device communications in a cellular interference environment

Interference aware multi hop path selection for device to device communications in a cellular interference environment

... Stand-alone multi-hop routing in wireless communications is a well addressed research area. In the past, research has focused on: i) how to incorporate feedback mechanisms to ensure greater routing reliability [8], ii) ... See full document

22

Understanding Gentzen and Frege Systems for QBF

Understanding Gentzen and Frege Systems for QBF

... Frege constitute a major problem, open for more than twenty years. This exciting development prompts us to target at a better un- derstanding of the new QBF Frege systems. What is their relation to the ... See full document

11

User’s Gender Prediction Based on Smartphone Applications Installed: Analysis from Real World Data to Simulation

User’s Gender Prediction Based on Smartphone Applications Installed: Analysis from Real World Data to Simulation

... 138566 distinct mobile applications installed for all sampled users (including the system applications), and 99.72 applications installed per user on average. We got top 41 mobile phone applications with highest ... See full document

8

ESPRIT with multiple-angle subarray beamforming

ESPRIT with multiple-angle subarray beamforming

... To achieve a reduction of computation, a so-called beamspace approach has been developed, which first projects the original data into a subspace of lower di- mension (i.e., the beamspace) via non-adaptive beam- forming ... See full document

7

Maximum norm analysis of an overlapping nonmatching grids method for the obstacle problem

Maximum norm analysis of an overlapping nonmatching grids method for the obstacle problem

... [2] M. Boulbrachene, Ph. Cortey-Dumont, and J.-C. Miellou, Mixing finite elements and finite differ- ences in a subdomain method, First International Symposium on Domain Decomposition Meth- ods for Partial Differential ... See full document

10

Playing with the Maximum-Flow Problem

Playing with the Maximum-Flow Problem

... All studies of flow networks so far assume that all the vertices in the network can be con- trolled by a central authority. That is, the maximum-flow algorithm finds a flow that directs, in all vertices of the ... See full document

8

Average-Case Lower Bounds and Satisfiability Algorithms for Small Threshold Circuits

Average-Case Lower Bounds and Satisfiability Algorithms for Small Threshold Circuits

... In Phase 3 of the restriction process, we replace imbalanced gates by their most probable values. This changes the functionality of the circuit and might lose us satisfying assignments or give us new invalid satisfying ... See full document

55

Analysis of Algorithms Finding the Maximum Flow of a Planar Network

Analysis of Algorithms Finding the Maximum Flow of a Planar Network

... Runs Itai and Shiloach's minimum cut algorithm on graph G and outputs the k shortest paths and the time taken to run the procedure... l.c Data Structure Declarations.[r] ... See full document

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