Algorithms and Data Structures for an Expanded Family of Matroid Intersection Problems
Author(s) -
Greg N. Frederickson,
Mandayam A. Srinivas
Publication year - 1989
Publication title -
siam journal on computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.533
H-Index - 122
eISSN - 1095-7111
pISSN - 0097-5397
DOI - 10.1137/0218008
Subject(s) - matroid , weighted matroid , combinatorics , matroid partitioning , oriented matroid , mathematics , spanning tree , graphic matroid , minimum spanning tree , discrete mathematics , intersection (aeronautics) , partition (number theory) , kruskal's algorithm , characterization (materials science) , aerospace engineering , engineering , materials science , nanotechnology
Consider a matroid of rank n in which each element has a real-valued cost and one of $d > 1$ colors. A class of matroid intersection problems is studied in which one of the matroids is a partition matroid that specifies that a base has $q_j $ elements of color j, for $j = 1,2, \cdots ,d$. Relationships are characterized among the solutions to the family of problems generated when the vector $(q_1 ,q_2 , \cdots ,q_d )$ is allowed to range over all values that sum to n. A fast algorithm is given for solving such matroid intersection problems when d is small. A characterization is presented for how the solution changes when one element changes in cost. Data structures are given for updating the solution on-line each time the cost of an arbitrary matroid element is modified. Efficient update algorithms are given for maintaining a color-constrained minimum spanning tree in either a general or a planar graph. An application of the techniques to the problem of finding a minimum spanning tree with several degree-...
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom