Preface (Special issue on Approximation algorithms, Part 2)no abstract.doi:10.1002/1099-1425(200009/10)3:5<247::AID-JOS45>3.0.CO;2-EGerhard J. WoegingerJohn Wiley & Sons, Ltd.Journal of Scheduling
Approximation Algorithms Part II (Coursera) This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. By taking the two parts of this course, yo...
approximation algorithms, but also in this book. It offers a particularly simple setting for introducing key concepts as well as some of the basic algorithm design techniques of Part I and Part II. In order to give a complete treatment for this central problem, in Part III we give a har...
Strauss, Algorithms for simultaneous sparse approximation, Part I: greedy pursuit,... G. Davis et al. Greedy adaptive approximation J. Constr. Approx. (1997) S.S. Chen et al. Atomic decomposition by basis pursuit SIAM J. Sci. Comput. (1999) J.A. Tropp Greed is good: algorithmic ...
Algorithms for simultaneous sparse approximation. Part II: Convex relaxationTroppJ. A.SIGNAL PROCESSING -AMSTERDAM-
To be specific, we give 3-approximation algorithms for the k-DSCP, the k-SCP and the k-DSCPP. If the costs of the arcs are symmetric, i.e., for every arc there is a parallel edge of no greater cost, we develop better algorithms with approximation ratios max{95,2−12k+1}, 2,...
Part 1 Development of algorithms: spline approximation - constrained spline approximation of functions and data based on constrained knot removal, E.Arge et al, near real-time spline fitting of long sequences of uniformly spaced data, T.Anthony, an algorithm for knot location in bivariate least ...
In this survey paper, we present an overview of approximation algorithms that are designed for art gallery problems in polygons and terrains.
the SWM problem to obtain approximation algorithms for various limited-supply single-minded (envy-free and non- envy-free) profit-maximization problems. Theorem 1.1 We obtain the following approximation guar- antees for various single-minded envy-free (and non-envy- free) limited-supply profi...
Chapter Probabilistic Graphical Models: Part II Machine Learning (Second Edition) Book2020, Machine Learning (Second Edition) Sergios Theodoridis Explore book 16.3 Approximate Inference Methods So far, our focus has been on presenting efficient algorithms for exact inference in graphical models. Although ...