Properties (54)
Predicate | Object |
---|---|
gptkbp:instanceOf |
Mathematician
|
gptkbp:academicAdvisor |
gptkb:Vladimir_I._Arnold
|
gptkbp:affiliation |
gptkb:Lomonosov_Moscow_State_University
|
gptkbp:awards |
gptkb:State_Prize_of_the_Russian_Federation
|
gptkbp:birthDate |
1934-09-03
|
gptkbp:birthPlace |
Moscow,_Russia
|
gptkbp:field |
Optimization
|
https://www.w3.org/2000/01/rdf-schema#label |
Vladimir N. Nesterov
|
gptkbp:influencedBy |
gptkb:Leonid_Kantorovich
|
gptkbp:knownFor |
Nesterov's_accelerated_gradient_method
|
gptkbp:nationality |
Russian
|
gptkbp:notableFeature |
Dmitry Bertsimas
|
gptkbp:publications |
Convex Optimization
Gradient Methods for Minimizing Composite Functions A new approach to convex optimization with constraints On the convergence of the gradient method for convex optimization with quadratic constraints A new approach to convex optimization with general constraints A method for solving convex optimization problems with linear constraints On the convergence of the gradient method for convex optimization with linear constraints A new approach to convex optimization with non-smooth constraints On the complexity of convex optimization problems with non-smooth constraints On the convergence of the gradient method for convex optimization with non-smooth constraints A method for solving convex optimization problems with quadratic constraints On the convergence of the gradient method for convex optimization problems A new method for solving convex optimization problems with constraints A method for solving convex programming problems A new approach to convex optimization On the convergence of the gradient method for convex optimization On the complexity of convex optimization problems Optimal methods for smooth convex minimization Smooth minimization of non-smooth functions A method for solving convex optimization problems with non-smooth constraints A method for solving convex optimization problems with general constraints On the convergence of the gradient method for convex optimization with general constraints A method for solving the convex programming problem A Method for Solving the Problem of Minimizing a Convex Function On the complexity of convex optimization problems with quadratic constraints A new approach to convex optimization with quadratic constraints Accelerated Gradient Methods for Nonconvex Optimization A method for solving convex optimization problems with smooth constraints On the convergence of the gradient method for convex optimization with smooth constraints Gradient methods for minimizing composite functions A new approach to convex optimization with linear constraints On the convergence of the gradient method for convex optimization with constraints On the complexity of convex optimization problems with general constraints On the complexity of smooth convex optimization problems On the complexity of convex optimization problems with linear constraints On the complexity of convex optimization problems with smooth constraints A new method for solving convex optimization problems Introductory_Lectures_on_Convex_Optimization On_the_Complexity_of_Smooth_Convex_Optimization |
gptkbp:researchInterest |
Machine learning
Convex analysis Numerical optimization |