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Mathematical Programming, ISSN 0025-5610, 2/2013, Volume 137, Issue 1, pp. 91 - 129
Journal Article
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 04/2017, Volume 65, Issue 8, pp. 1929 - 1944
In this two-part paper, we propose a general algorithmic framework for the minimization of a nonconvex smooth function subject to nonconvex smooth constraints,... 
Signal processing algorithms | successive convex approximation | Approximation algorithms | Linear programming | Ad hoc networks | nonconvex optimization | Distributed algorithms | Optimization | Standards | Convergence | RESOURCE-ALLOCATION | MINIMIZATION | ROBUST | SHRINKAGE | DECOMPOSITION | CONVERGENCE | ALGORITHMS | VARIABLE DISTRIBUTION | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
2015, Fourth edition., ISBN 9780199665884, xiii, 445 pages
The purpose of economic evaluation is to inform decisions intended to improve healthcare. The new edition of Methods for the Economic Evaluation of Health Care... 
Medical care | Evaluation | Cost effectiveness | Medical economics | Medical care, Cost of | Medicine: General Issues
Book
Reports on Progress in Physics, ISSN 0034-4885, 03/2012, Volume 75, Issue 3, pp. 036503 - 43
Journal Article
Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, 06/2015, Volume 289, pp. 332 - 354
Journal Article
Journal of Scientific Computing, ISSN 0885-7474, 2/2013, Volume 54, Issue 2, pp. 269 - 310
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 10/2015, Volume 24, Issue 4, pp. 994 - 1013
Clustering is a fundamental problem in many scientific applications. Standard methods such as k-means, Gaussian mixture models, and hierarchical clustering,... 
k-means | Regularization paths | Alternating direction method of multipliers | Hierarchical clustering | Convex optimization | Alternating minimization algorithm | PATH | PROJECTION | ALGORITHM | DECOMPOSITION | STATISTICS & PROBABILITY | SELECTION
Journal Article
SIAM Journal on Optimization, ISSN 1052-6234, 2012, Volume 22, Issue 2, pp. 341 - 362
In this paper we propose new methods for solving huge-scale optimization problems. For problems of this size, even the simplest full-dimensional vector... 
Google problem | Fast gradient schemes | Convex optimization | Coordinate relaxation | Worst-case efficiency estimates | MATHEMATICS, APPLIED | worst-case efficiency estimates | MINIMIZATION | fast gradient schemes | convex optimization | CONVERGENCE | coordinate relaxation
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 02/2013, Volume 14, Issue 1, pp. 567 - 599
Journal Article