Results 181 to 190 of about 4,731,628 (237)

Peaceman-Rachford Splitting Method Converges Ergodically for Solving Convex Optimization Problems [PDF]

Kaihuang Chen, Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao   +4 more
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Spatial and temporal regularization to estimate COVID-19 Reproduction Number R(t): Promoting piecewise smoothness via convex optimization

, 2020
Abry P, Pustelnik N, Roux S, Jensen P, Flandrin P, Gribonval R, Lucas C, Guichard E, Borgnat P, Garnier N, Audit B.   +10 more
europepmc   +1 more source

Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting. [PDF]

Int J Biomed Imaging, 2018
Kawamura N, Yokota T, Hontani H.
europepmc   +1 more source

Multiband RF pulses with improved performance via convex optimization. [PDF]

J Magn Reson, 2016
Shang H, Larson PEZ, Kerr A, Reed G, Sukumar S, Elkhaled A, Gordon JW, Ohliger MA, Pauly JM, Lustig M, Vigneron DB.   +10 more
europepmc   +1 more source

Alternatives for optimization in systems and control: convex and non-convex approaches [PDF]

, 2012
Emile Simon
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Robust Convex Optimization

Mathematics of Operations Research, 1998
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U. The ensuing optimization problem is called robust optimization. In this paper we lay the foundation of robust convex optimization.
Ben-Tal, A., Nemirovski, A.
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