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 ...

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 ...

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

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 ...

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 ...

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.