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A fast dual proximal gradient algorithm for convex minimization and applications
Beck, Amir; Teboulle, Marc - In: Operations research letters 42 (2014) 1, pp. 1-6
Persistent link: https://www.econbiz.de/10010259285
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An improved ellipsoid method for solving convex differentiable optimization problems
Beck, Amir; Sabach, Shoham - In: Operations research letters 40 (2012) 6, pp. 541-545
Persistent link: https://www.econbiz.de/10009717286
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The CoMirror algorithm for solving nonsmooth constrained convex problems
Beck, Amir; Ben-Tal, Aharon; Guttmann-Beck, Nili; … - In: Operations research letters 38 (2010) 6, pp. 493-498
Persistent link: https://www.econbiz.de/10008737068
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A new semidefinite programming relaxation scheme for a class of quadratic matrix problems
Beck, Amir; Drori, Yoel; Teboulle, Marc - In: Operations research letters 40 (2012) 4, pp. 298-302
Persistent link: https://www.econbiz.de/10009558921
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Duality in robust opimization : primal worst equals dual best
Beck, Amir; Ben-Tal, Aharon - In: Operations research letters 37 (2009) 1, pp. 1-6
Persistent link: https://www.econbiz.de/10003845959
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On the minimization over sparse symmetric sets : projections, optimality conditions, and algorithms
Beck, Amir; Hallak, Nadav - In: Mathematics of operations research 41 (2016) 1, pp. 196-223
Persistent link: https://www.econbiz.de/10011448357
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The regularized feasible directions method for nonconvex optimization
Beck, Amir; Hallak, Nadav - In: Operations research letters 50 (2022) 5, pp. 517-523
Persistent link: https://www.econbiz.de/10013449438
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New results on multi-dimensional linear discriminant analysis
Beck, Amir; Sharon, Raz - In: Operations research letters 50 (2022) 1, pp. 1-7
Persistent link: https://www.econbiz.de/10013177154