Vladimir N. Nesterov

GPTKB entity

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