Title
An accelerated continuous greedy algorithm for maximizing strong submodular functions
Abstract
An accelerated continuous greedy algorithm is proposed for maximization of a special class of non-decreasing submodular functions $$f:2^{X} \\rightarrow \\mathfrak {R}_{+}$$f:2X¿R+ subject to a matroid constraint with a $$\\frac{1}{c} (1 - e^{-c} - \\varepsilon ) $$1c(1-e-c-¿) approximation for any $$\\varepsilon 0$$¿0, where $$c$$c is the curvature with respect to the optimum. Functions in the special class of submodular functions satisfy the criterion $$\\forall A, B \\subseteq X,\\, \\forall j \\in X {\\setminus } (A \\cup B)$$¿A,B⊆X,¿j¿X\\(A¿B), $$\\triangle f_j(A,B) \\mathop {=}\\limits ^{\\Delta } f(A \\cup \\{j\\}) + f(B \\cup \\{j\\}) - f((A \\cap B) \\cup \\{j\\}) - f(A \\cup B \\cup \\{j\\}) - [f(A) + f(B) - f(A \\cap B) - f(A \\cup B)] \\le 0$$¿fj(A,B)=Δf(A¿{j})+f(B¿{j})-f((A¿B)¿{j})-f(A¿B¿{j})-[f(A)+f(B)-f(A¿B)-f(A¿B)]≤0. As an alternative to the standard continuous greedy algorithm, the proposed algorithm can substantially reduce the computational expense by removing redundant computational steps and, therefore, is able to efficiently handle the maximization problems for this special class of submodular functions. Examples of such functions are presented.
Year
DOI
Venue
2015
10.1007/s10878-013-9685-x
Journal of Combinatorial Optimization
Keywords
Field
DocType
Monotone submodular set function,Matroid,Approximation algorithm
Matroid,Approximation algorithm,Discrete mathematics,Combinatorics,Mathematical optimization,Submodular set function,Greedy algorithm,Mathematics
Journal
Volume
Issue
ISSN
30
4
1382-6905
Citations 
PageRank 
References 
2
0.39
15
Authors
4
Name
Order
Citations
PageRank
Zengfu Wang1113385.70
William Moran 0001220.73
Xuezhi Wang3505.24
Quan Pan456847.06