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Smooth strongly convex interpolation and exact worst-case performance of first-order methods., , and . Math. Program., 161 (1-2): 307-345 (2017)Improving complexity of structured convex optimization problems using self-concordant barriers.. Eur. J. Oper. Res., 143 (2): 291-310 (2002)Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions., , , and . IEEE Trans. Signal Process., (2023)Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization., , and . J. Optim. Theory Appl., 178 (2): 455-476 (2018)A nuclear-norm based convex formulation for informed source separation, , and . CoRR, (2012)Spectrum optimization in multi-user multi-carrier systems with iterative convex and nonconvex approximation methods., and . CoRR, (2013)Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization, and . CoRR, (2011)On the Worst-Case Analysis of Cyclic Coordinate-Wise Algorithms on Smooth Convex Functions., , and . ECC, page 1-8. IEEE, (2023)Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks., , and . J. Optimization Theory and Applications, 173 (1): 227-254 (2017)Double Smoothing Technique for Large-Scale Linearly Constrained Convex Optimization., , and . SIAM J. Optimization, 22 (2): 702-727 (2012)