Id: 008135 Credits Min: 3 Credits Max: 3 Description Advanced algorithms and complexity analysis. Dynamic programming; greedy algorithms; amortized analysis; shortest path and network flow graph ...

We develop approximation algorithms for different purposes: quick response algorithms for individual customer requirement planning to build a quotation, and elaborate algorithms to provide a ...

Polynomial-Time Approximation Scheme (PTAS): An algorithm that for any given fixed ε > 0 finds a solution that is within a factor of (1 + ε) of the optimum in time polynomial in the input size.

Martin Skutella, Approximation Algorithms for the Discrete Time-Cost Tradeoff Problem, Mathematics of Operations Research, Vol. 23, No. 4 (Nov., 1998), pp. 909-929 ...

Approximation algorithms for the TSP endeavour to provide efficient, near‐optimal solutions where exact methods prove computationally prohibitive.

VIEW ALL COURSE TIMES AND SESSIONS Prerequisites COMP_SCI 212 and COMP_SCI 336 (or similar courses) or CS MS or CS PhDs Description This course studies approximation algorithms – algorithms that are ...

CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503 CSCA 5424: Approximation Algorithms and Linear Programming CSCA 5454: Advanced Data Structures, RSA and Quantum ...