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Semidefinite relaxation and nonconvex quadratic optimization
Nesterov, Jurij Evgenʹevič - 1997
Persistent link: https://www.econbiz.de/10000971100
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Quality of semidefinite relaxation for nonconvex quadratic optimization
Nesterov, Jurij Evgenʹevič - 1997
Persistent link: https://www.econbiz.de/10000962960
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Homogenous analytic center cutting plane methods for convex problems and variational inequalities
Nesterov, Jurij Evgenʹevič - 1997
Persistent link: https://www.econbiz.de/10000972923
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Smooth minimization of non-smooth functions
Nesterov, Jurij Evgenʹevič - 2003
Persistent link: https://www.econbiz.de/10001790744
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Global quadratic optimization via conic relaxation
Nesterov, Jurij Evgenʹevič - 1998
Persistent link: https://www.econbiz.de/10001362347
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Confidence level solutions for stochastic programming
Nesterov, Jurij Evgenʹevič; Vial, Jean-Philippe - 2000
Persistent link: https://www.econbiz.de/10001445845
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Confidence level solutions for stochastic programming
Nesterov, Jurij Evgenʹevič; Vial, Jean-Philippe - 2000
Persistent link: https://www.econbiz.de/10001470149
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Homogeneous analytic center cutting plane methods for convex problems and variational inequalities
Nesterov, Jurij Evgenʹevič; Vial, Jean-Philippe - 1997
Persistent link: https://www.econbiz.de/10000984388
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Gradient methods with memory
Nesterov, Jurij Evgenʹevič; Florea, Mihai I. - 2019
Persistent link: https://www.econbiz.de/10012215158
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High-dimensional learning under approximate sparsity with applications to nonsmooth estimation and regularized neural networks
Liu, Hongcheng; Ye, Yinyu; Lee, Hung Yi - In: Operations research 70 (2022) 6, pp. 3176-3197
Persistent link: https://www.econbiz.de/10014307657