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UM
2009
Springer
14 years 2 months ago
What Do Academic Users Really Want from an Adaptive Learning System?
When developing an Adaptive Learning System (ALS), users are generally consulted (if at all) towards the end of the development cycle. This can limit users’ feedback to the chara...
Martin Harrigan, Milos Kravcik, Christina Steiner,...
APPROX
2008
Springer
134views Algorithms» more  APPROX 2008»
13 years 9 months ago
Inapproximability of Survivable Networks
In the Survivable Network Design Problem (SNDP) one seeks to find a minimum cost subgraph that satisfies prescribed node-connectivity requirements. We give a novel approximation r...
Yuval Lando, Zeev Nutov
CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 7 months ago
Approximation Algorithms for Shortest Descending Paths in Terrains
A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. No efficient algorithm is known to ...
Mustaq Ahmed, Sandip Das, Sachin Lodha, Anna Lubiw...
APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
14 years 1 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
ESA
2008
Springer
115views Algorithms» more  ESA 2008»
13 years 9 months ago
Deterministic Sampling Algorithms for Network Design
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
Anke van Zuylen