Super greedy type algorithms

Robustness of Greedy Type Minimum Evolution Algorithms

For a phylogeny reconstruction problem, Desper and Gascuel [2] proposed Greedy Minimum Evolution algorithm (in short, GME) and Balanced Minimum Evolution algorithm (in short, BME). Both of them are faster than the current major algorithm, Neighbor Joining (in short, NJ); however, less accurate when an input distance matrix has errors. In this paper, we prove that BME has the same optimal robust...

Greedy Algorithms

Greedy Algorithms: Huffman Coding

Greedy Algorithms: In an optimization problem, we are given an input and asked to compute a structure, subject to various constraints, in a manner that either minimizes cost or maximizes profit. Such problems arise in many applications of science and engineering. Given an optimization problem, we are often faced with the question of whether the problem can be solved efficiently (as opposed to a...

Parallelism and Greedy Algorithms

A number of greedy algorithms are examined <and are shown to be probably inherently sequential. Greedy algorithms are presented for finding a maximal path, for finding a . maximal set of disjoint paths in a layered dag, and for finding the largest induced subgraph of a graph that has all vertices of degree at least Ic. It is shown that for all of these algorithms, the problem of determining if ...

Distributed Greedy Pursuit Algorithms

For compressed sensing over arbitrarily connected networks, we consider the problem of estimating underlying sparse signals in a distributed manner. We introduce a new signal model that helps to describe inter-signal correlation among connected nodes. Based on this signal model along with a brief survey of existing greedy algorithms, we develop distributed greedy algorithms with low communicati...