
redbKIT
 Referenced in 162 articles
[sw12977]
 their fundamental theoretical properties, discusses the related algorithmic and implementation aspects, and highlights their built ... constructing accurate RB spaces using greedy algorithms and proper orthogonal decomposition techniques, investigate their approximation...

BILUM
 Referenced in 49 articles
[sw04015]
 convergence of multigrid methods. The multilevel algorithms implemented by BILUM are based ... independent set is found by some greedy algorithms such that each block is decoupled with...

GRASP
 Referenced in 129 articles
[sw01094]
 Algorithm 754: Fortran subroutines for approximate solution of dense quadratic assignment problems using GRASP (greedy...

ADMiRA
 Referenced in 31 articles
[sw31664]
 rank matrix and extending efficient greedy algorithms from the vector to the matrix case...

foba
 Referenced in 25 articles
[sw35840]
 package foba  greedy variable selection. foba is a package that implements forward, backward, and foba ... sparse learning algorithms for ridge regression, described ... paper ”Adaptive ForwardBackward Greedy Algorithm for Learning Sparse Representations...

CELF++
 Referenced in 15 articles
[sw11772]
 CELF++: optimizing the greedy algorithm for influence maximization in social networks...

Tcoffee
 Referenced in 39 articles
[sw13195]
 serious pitfalls caused by the greedy nature of this algorithm. With TCoffee...

DIALIGNTX
 Referenced in 7 articles
[sw12751]
 DIALIGNTX: greedy and progressive approaches for segmentbased multiple sequence alignment. Background: DIALIGN ... multiplealignment program DIALIGN. Due to several algorithmic improvements, it produces significantly better alignments ... DIALIGNT uses a a straightforward greedy approach to assemble multiple alignments from local ... DIALIGNT that combines our previous greedy algorithm with a progressive alignment approach...

GESPAR
 Referenced in 25 articles
[sw25722]
 refer to as GESPAR: GrEedy Sparse PhAse Retrieval. Our algorithm does not require matrix lifting...

SOPRA
 Referenced in 7 articles
[sw12607]
 short reads. The main focus of the algorithm is selecting a sufficiently large subset ... reads, the ad hoc greedy algorithms used in the earlier studies are likely to lead...

DSJM
 Referenced in 6 articles
[sw12532]
 segments compression algorithms.The DSJM implements a greedy partitioning algorithm after the sparse matrix has been...

GAGA
 Referenced in 2 articles
[sw12223]
 GAGA: GPU Accelerated Greedy Algorithms. Welcome to GAGA, a software package for solving large compressed ... release GAGA 1.1.0 consists of ten greedy algorithms using five matrix ensembles. This release...

CHAC
 Referenced in 3 articles
[sw02760]
 resources while maximizing safety. Unlike previous MOACO algorithms, CHAC uses a single colony ... different degrees of difficulty), outperforming a greedy algorithm (taken as baseline), and yielding a good...

SelvarClustMV
 Referenced in 3 articles
[sw12566]
 account missing values. It is a greedy algorithm associated to the SR modeling proposed...

GreedEx
 Referenced in 1 article
[sw08623]
 method for the active learning of greedy algorithms. Greedy algorithms constitute an apparently simple algorithm ... aimed at promoting active learning of greedy algorithms. The method is focused on the concept...

HaploBlockFinder
 Referenced in 2 articles
[sw30041]
 distinguish common haplotypes are identified. A greedy algorithm was used to improve the efficiency...

MULKNAP
 Referenced in 36 articles
[sw06467]
 present a branchandbound algorithm to solve this problem to optimality. We employ ... with the lower bound obtained by a greedy heuristic, we apply the pegging test ... this type of problems, and our algorithm inherits this weakness as well...

TIFIM
 Referenced in 2 articles
[sw31050]
 corresponding methods for influence maximization, including greedy algorithms, heuristic algorithms and their extensions to determine...

CoFIM
 Referenced in 1 article
[sw31052]
 submodular, based on which a greedy algorithm was proposed to give a nearoptimal solution ... However, this simple greedy algorithm is time consuming, which limits its application on largescale...

BARTBMA
 Referenced in 2 articles
[sw23498]
 forests, a machine learning algorithm which grows trees using a greedy search for the best ... predictions. We propose an alternative fitting algorithm for BART called BARTBMA, which ... uses Bayesian model averaging and a greedy search algorithm to obtain a posterior distribution more...