2.3 Convex Functions
Constantine Caramanis
Terry Rockafellar - Augmented Lagrangians and Decomposition in Convex and Nonconvex Programming
DIMACS CCICADA
Ю.Е.Нестеров. Convergent subgradient methods for nonsmooth convex minimization. 5 февраля 2014
Семинар лаборатории ПреМоЛаб, ИППИ РАН, 2014 год. Подробности: ...
Optimization and Statistics in MIPT
Lecture 3 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd covers subgradient ...
Stanford
Properties of Convex Functions-II
Nonlinear Programming
AN20: On Optimality Conditions for Nonsmooth Functions
Wednesday, July 8 12:00 PM - 12:45 PM Numerous optimization tasks exhibit a nonsmooth behavior. In contrast to the classical smooth case, where optimality ...
SIAM Conferences
Mod-01 Lec-35 Convex Optimization
Convex Optimization by Prof. Joydeep Dutta, Department of Mathematics and Statistics, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
nptelhrd
Convex function
In mathematics, a real-valued function f(x) defined on an interval is called convex (or convex downward or concave upward) if the line segment between any two ...
Audiopedia
Fast Algorithms via Convex Relaxation
In Theoretical CS many of the fastest algorithms are obtained by considering the Linear Programming (LP) relaxation of the problem. In this talk, I will survey ...
Microsoft Research
Kernel-Based Methods for Bandit Convex Optimization
Sebastien Bubeck, Microsoft Research https://simons.berkeley.edu/talks/sebastien-bubeck-09-21-2016 Optimization and Decision-Making Under Uncertainty.
Simons Institute
Lecture 7 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd finishes his lecture ...
Stanford
XI International Symposium on Generalized Convexity and Monotonicity - MARCO ANTONIO LÓPEZ CERDA
Plenary talk MoP (chair: Dinh The Luc) Some glimpses of convex subdifferential calculus Speaker: MARCO ANTONIO LÓPEZ CERDA, University or Alicante, ...
Instituto de Matemática Pura e Aplicada
Lecture 8 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces primal ...
Stanford
Convex Optimization and Applications - Stephen Boyd
Convex Optimization and Applications with Stephen Boyd.
The Qualcomm Institute
Session 3: Optimization Convex
Watch this video with AI-generated Table of Content (ToC), Phrase Cloud and In-video Search here: ...
ICML IJCAI ECAI 2018 Conference Videos
Session 1: Optimization Non Convex
Watch this video with AI-generated Table of Content (ToC), Phrase Cloud and In-video Search here: ...
ICML IJCAI ECAI 2018 Conference Videos
Class 12 - Convex Relaxation and Proximal Gradient
Lorenzo Rosasco, MIT, University of Genoa, IIT 9.520/6.860S Statistical Learning Theory and Applications Class website: http://www.mit.edu/~9.520/fall17/
MITCBMM
Mod-01 Lec-36 Convex Optimization
Convex Optimization by Prof. Joydeep Dutta, Department of Mathematics and Statistics, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
nptelhrd
Lecture 2 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues ...
Stanford
A Gamma-convergence result and an application to the Monge-Ampère gravitational model
... Abstract: I illustrate a Gamma-convergence result for nonsmooth action functionals involving the minimal selection of the subdifferential of convex functions.
Fields Institute
Recent Advances in Convex Optimization
Convex optimization is now widely used in control, signal processing, networking, communications, machine learning, finance, combinatorial optimization, and ...
Microsoft Research
Lecture 9 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd concludes his ...
Stanford
Optimal Transport - Convex Functions
Math 707: Optimal Transport Convex Functions September 16, 2019 This is a lecture on "Convex Functions" given as a part of Brittany Hamfeldt's class Math ...
Brittany Hamfeldt
XI International Symposium on Generalized Convexity and Monotonicity - MICHEL THÉRA
Session Mo3: Convex Analysis I (chair: Witold Jarczyk) Old and new results on enlargements of maximally monotone operators Speaker: MICHEL THÉRA, ...
Instituto de Matemática Pura e Aplicada
Lecture 13 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues his lecture ...
Stanford
Convex Seperation - Pt 1 New
Nam Nguyen
XI International Symposium on Generalized Convexity and Monotonicity - PÁL BURAI
Session Th2: Convex Analysis III (chair: Wilfredo Sosa) Optimality conditions involving generalized convexity and convex analysis Speaker: PÁL BURAI, ...
Instituto de Matemática Pura e Aplicada
A variational approach to the regularity theory for the Monge-Ampère equation -Felix Otto
Analysis Seminar Topic: A variational approach to the regularity theory for the Monge-Ampère equation Speaker: Felix Otto Affiliation: Max Planck Institute ...
Institute for Advanced Study
Mod-01 Lec-14 Convex Optimization
Convex Optimization by Prof. Joydeep Dutta, Department of Mathematics and Statistics, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
nptelhrd
Basic Course on Stochastic Programming - Class 05
Programa de Mestrado: Basic Course on Stochastic Programming Página do Evento: http://svan2016.sciencesconf.org/resource/page/id/20 Download dos ...
Instituto de Matemática Pura e Aplicada
G.Calafiore. Introduction to first-order and coordinate-descent methods for convex optimization. P.1
24 июня 2014. Шестая Традиционная молодежная школа "Управление, информация и оптимизация". Подробности: ...
Optimization and Statistics in MIPT
Convex Set and Convex Functions
ousam2010
Francis Bach: Large-scale machine learning and convex optimization 2/2
Abstract: Many machine learning and signal processing problems are traditionally cast as convex optimization problems. A common difficulty in solving these ...
Centre International de Rencontres Mathématiques
Convex Seperations - Pt 3
Nam Nguyen
Mod-01 Lec-41 Convex Optimization
Convex Optimization by Prof. Joydeep Dutta, Department of Mathematics and Statistics, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
nptelhrd
On the (in)stability of the identity map in optimal transportation - Yash Jhaveri
Analysis Seminar Topic: On the (in)stability of the identity map in optimal transportation Speaker: Yash Jhaveri Affiliation: Member, School of Mathematics Date: ...
Institute for Advanced Study
Near-Optimal Hypothesis Testing via Convex Optimization
Arkadi Nemirovski, Georgia Institute of Technology Information Theory, Learning and Big Data http://simons.berkeley.edu/talks/arkadi-nemirovski-2015-03-18.
Simons Institute
Ricardo Nochetto: Two-scale FEMs for non-variational elliptic PDEs ...
We show that the finite element method (FEM) is able to approximate non-variational elliptic PDEs provided we add a larger scale ε to the usual meshsize h.
Hausdorff Center for Mathematics
Lecture 11 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd lectures on ...
Stanford
Mod-01 Lec-29 Convex Optimization
Convex Optimization by Prof. Joydeep Dutta, Department of Mathematics and Statistics, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
nptelhrd
Mod-01 Lec-29 Optimization
Foundations of Optimization by Dr. Joydeep Dutta,Department of Mathematics,IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Subdifferentials and Lipschitz properties of translation invariant functionals and applications
Title: Subdifferentials and Lipschitz properties of translation invariant functionals and applications Speaker: Christiane Tammer (MLU) Abstract: In the talk, we ...
nonsmoothness
