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In this paper we demonstrate a simple heuristic adaptive restart technique that can dramatically improve the convergence rate of accelerated gradient schemes.
Methods of conjugate gradients for solving linear systems
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Problem complexity and method efficiency in optimization
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A method of solving a convex programming problem with convergence rate O ( 1 / k 2 ) {O}(1/k^{2})
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Fundamental Methods of Mathematical Economics
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Nonlinear wavelet image processing: Variational problems, compression, and noise removal through wavelet shrinkage
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An introduction to compressive sampling
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A fast iterative shrinkage-thresholding algorithm for linear inverse problems
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M. Gu, L. Lim, and C. Wu · 2009
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Templates for convex cone problems with applications to sparse signal recovery
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