We show various hardness of approximation algorithms for knapsack and related problems; in particular we will show that unless the Exponential-Time Hypothesis is false, then subset-sum cannot be approximated any better than with an FPTAS. We also give a simple new algorithm for approximating knapsack and subset-sum, that can be adapted to work for small space, or in small parallel time. Finally, we prove that knapsack can not be solved in Mulmuley’s parallel PRAM model, even when the input is restricted to small bit-length.
M. Alekhmovich et al. have recently proposed a model of algorithms, called BT model, which covers Gr...
Greedy heuristics are a popular choice of heuristics when we have to solve a large variety of NP-har...
Abstract. This paper studies the worst-case performance of the successive approximation algorithm fo...
We show various hardness of approximation algorithms for knapsack and related problems; in particula...
We show various hardness results for knapsack and related problems; in particular we will show that ...
We address a variant of the classical knapsack problem in which an upper bound is imposed on the num...
A classical theorem in Combinatorial Optimization proves the existence of fully polynomialtime appro...
[[abstract]]Polynomial and fully polynomial approximation algorithms for single-dimensional knapsack...
AbstractComputing an optimal solution to the knapsack problem is known to be NP-hard. Consequently, ...
Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research...
We show that it is not possible to speed-up the Knapsack problem efficiently in the parallel algebra...
We shall describe a parallel algorithm for solving the knapsack feasibility problem, also known as t...
AbstractIn this paper we construct approximate algorithms for the following problems: integer multip...
Greedy heuristics are a popular choice of heuristics when we have to solve a large variety of NP -ha...
We will present lower bounds on the running time for both exact and approximation algorithms based o...
M. Alekhmovich et al. have recently proposed a model of algorithms, called BT model, which covers Gr...
Greedy heuristics are a popular choice of heuristics when we have to solve a large variety of NP-har...
Abstract. This paper studies the worst-case performance of the successive approximation algorithm fo...
We show various hardness of approximation algorithms for knapsack and related problems; in particula...
We show various hardness results for knapsack and related problems; in particular we will show that ...
We address a variant of the classical knapsack problem in which an upper bound is imposed on the num...
A classical theorem in Combinatorial Optimization proves the existence of fully polynomialtime appro...
[[abstract]]Polynomial and fully polynomial approximation algorithms for single-dimensional knapsack...
AbstractComputing an optimal solution to the knapsack problem is known to be NP-hard. Consequently, ...
Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research...
We show that it is not possible to speed-up the Knapsack problem efficiently in the parallel algebra...
We shall describe a parallel algorithm for solving the knapsack feasibility problem, also known as t...
AbstractIn this paper we construct approximate algorithms for the following problems: integer multip...
Greedy heuristics are a popular choice of heuristics when we have to solve a large variety of NP -ha...
We will present lower bounds on the running time for both exact and approximation algorithms based o...
M. Alekhmovich et al. have recently proposed a model of algorithms, called BT model, which covers Gr...
Greedy heuristics are a popular choice of heuristics when we have to solve a large variety of NP-har...
Abstract. This paper studies the worst-case performance of the successive approximation algorithm fo...