PTAS(Polynomial Time Approximation Scheme) cont. Prepared by, Umair S. March 25 th, 2009
PTAS vs FPTAS PTAS requires the complexity of an algorithm to be polynomial in terms of input size n for a fixed approximation factor є FPTAS requires the complexity of an algorithm to be polynomial, both in terms of n as well as 1/ є
Designing Polynomial Time Approximation Scheme for Sub-set Sum Problem Input Output
Designing Polynomial Time Approximation Scheme for Sub-set Sum Problem In case of approximation, we are interested in a S’ such that We define, L i be the set of numbers that are sum of all elements in each possible subsets of set S i where, S i is a set of first i th elements in set S. Then,
Designing Polynomial Time Approximation Scheme for Sub-set Sum Problem Pseudo-code for finding the closest sub-sum can be While i<n Remove where, l j is any element in set L i end while Solution: last element of Ln Complexity: O(nW)
Designing Polynomial Time Approximation Scheme for Sub-set Sum Problem Complexity is O(nW), W can be exponential in the worst-case! Consider small intervals instead of exact values in Li? Equally spaced vs expanding intervals? Possible to maintain an approximation factor? To be cont. in next lecture…