COMP 372 introduces the fundamental techniques for designing and analyzing algorithms. These include asymptotic notation and analysis, divide-and-conquer algorithms, dynamic programming, greedy ...

In this paper, we propose an optimal greedy algorithm for the problem of run-time many-core scheduling. The previously best known centralized optimal algorithm proposed for the problem is based on ...

Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.

This study examines the use of greedy algorithms, dynamic programming algorithms, and lattice discretization algorithms for solving optimal solutions in practical scientific and engineering ...

The combination with the largest value in that set is the optimal solution. Greedy Algorithms Greedy Algorithms are simple, straightforward and short sighted. They are easy to implement and sometimes ...

We introduce a dynamic allocation system based on potentials derived from dual prices of a linear programming (LP) relaxation to improve employment outcomes. Our algorithm achieves over 98% of the ...

CSCA 5414: Dynamic Programming, Greedy Algorithms CSCA 5414: Dynamic Programming, Greedy Algorithms Get a head start on program admission Preview this course in the non-credit experience today! Start ...