College of Computing Georgia Institute of Technology Vijay V. Vazirani
Semidefinite Programming and Approximation Algorithms for NPhard Problems
PDF) Approximating Min-sum Set Cover
September 2006 Archives | Abner's Postgraduate Days
Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and Limitations Yuan Zhou Computer Science Department Carnegie Mellon University. - ppt download
Approximate Shortest Path and Distance ... - Christian Sommer
work appeared in SODA 10') Yuk Hei Chan (Tom) - ppt video online download
prismjs-bibtex/stoc_2010-2019.md at master · SaswatPadhi/prismjs-bibtex · GitHub
Semidefinite Programming and Approximation Algorithms for NPhard Problems
work appeared in SODA 10') Yuk Hei Chan (Tom) - ppt video online download
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 9th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2006 and 10th International Workshop on Randomization and ...
September 2006 Archives | Abner's Postgraduate Days
Semidefinite Programming and Approximation Algorithms for NPhard Problems
PDF) Proving Integrality Gaps Without Knowing the Linear Program
The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige The Weizmann Institute. - ppt download
The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige The Weizmann Institute. - ppt download
Semidefinite Programming and Approximation Algorithms for NPhard Problems
The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige The Weizmann Institute. - ppt download
International Congress of Mathematicians
The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige The Weizmann Institute. - ppt download
work appeared in SODA 10') Yuk Hei Chan (Tom) - ppt video online download
work appeared in SODA 10') Yuk Hei Chan (Tom) - ppt video online download
September 2006 Archives | Abner's Postgraduate Days
PDF) On Approximating Complex Quadratic Optimization Problems via Semidefinite Programming Relaxations
PDF) On approximating complex quadratic optimization problems via semidefinite programming relaxations
