Media Summary: Speaker: Dr. Michael Hecht, Group Leader at CASUS - Center for Advanced Systems Understanding (Goerlitz, Germany) Abstract: ... One major new feature in Gurobi 9.0 is a new bilinear solver, which allows users to solve problems with In this video, I offer several viable solutions for some of the most difficult problems in mathematical

Efficient Non Convex Polynomial Optimization - Detailed Analysis & Overview

Speaker: Dr. Michael Hecht, Group Leader at CASUS - Center for Advanced Systems Understanding (Goerlitz, Germany) Abstract: ... One major new feature in Gurobi 9.0 is a new bilinear solver, which allows users to solve problems with In this video, I offer several viable solutions for some of the most difficult problems in mathematical Speaker: Claudia Totzeck (University of Wuppertal) Title: Particle-based methods for Georgina Hall, Princeton University Hierarchies, Extended Formulations ... (25 octobre 2021 / October 25, 2021) Seminar Applied Mathematics / Mathématiques appliquées ...

A loss function, also known as a cost function or objective function, is a mathematical function used in deep learning to measure ... Amir Ali Ahmadi, Princeton University Hierarchies, Extended ... Steve Wright, University of Wisconsin-Madison Fast Iterative Methods in ...

Photo Gallery

Efficient non-convex polynomial optimization and the sum-of-squares hierarchy - David Steurer
Global non-convex optimisation by Polynomial Model Based Optimisation for Tumor Response Models
Non-Convex Quadratic Optimization Webinar
How to Minimize Non-Convex Functions
Particle-based methods for non-convex optimization
Nonnegative Polynomials, Nonconvex Polynomial Optimization, and Applications to Learning
MoCaO Lectures 2023: Polynomial optimisation - Lecture 3 by James Saunderson
Hidden convexity in nonconvex optimization
Optimization vs Loss function | Convex Optimization
Computationally Efficient Alternatives to Nonconvex-Nonconcave Min-Max Optimization
LP, SOCP, and Optimization-Free Approaches to Polynomial Optimization
Didier Henrion: Polynomial optimization with the Lasserre hierarchy
View Detailed Profile
Efficient non-convex polynomial optimization and the sum-of-squares hierarchy - David Steurer

Efficient non-convex polynomial optimization and the sum-of-squares hierarchy - David Steurer

Members' Seminar Topic:

Global non-convex optimisation by Polynomial Model Based Optimisation for Tumor Response Models

Global non-convex optimisation by Polynomial Model Based Optimisation for Tumor Response Models

Speaker: Dr. Michael Hecht, Group Leader at CASUS - Center for Advanced Systems Understanding (Goerlitz, Germany) Abstract: ...

Non-Convex Quadratic Optimization Webinar

Non-Convex Quadratic Optimization Webinar

One major new feature in Gurobi 9.0 is a new bilinear solver, which allows users to solve problems with

How to Minimize Non-Convex Functions

How to Minimize Non-Convex Functions

In this video, I offer several viable solutions for some of the most difficult problems in mathematical

Particle-based methods for non-convex optimization

Particle-based methods for non-convex optimization

Speaker: Claudia Totzeck (University of Wuppertal) Title: Particle-based methods for

Nonnegative Polynomials, Nonconvex Polynomial Optimization, and Applications to Learning

Nonnegative Polynomials, Nonconvex Polynomial Optimization, and Applications to Learning

Georgina Hall, Princeton University https://simons.berkeley.edu/talks/georgina-hall-11-9-17 Hierarchies, Extended Formulations ...

MoCaO Lectures 2023: Polynomial optimisation - Lecture 3 by James Saunderson

MoCaO Lectures 2023: Polynomial optimisation - Lecture 3 by James Saunderson

https://www.mocao.org/2023/06/18/mocao-lectures-2023-

Hidden convexity in nonconvex optimization

Hidden convexity in nonconvex optimization

(25 octobre 2021 / October 25, 2021) Seminar Applied Mathematics / Mathématiques appliquées ...

Optimization vs Loss function | Convex Optimization

Optimization vs Loss function | Convex Optimization

A loss function, also known as a cost function or objective function, is a mathematical function used in deep learning to measure ...

Computationally Efficient Alternatives to Nonconvex-Nonconcave Min-Max Optimization

Computationally Efficient Alternatives to Nonconvex-Nonconcave Min-Max Optimization

Nisheeth Vishnoi (Yale University) ...

LP, SOCP, and Optimization-Free Approaches to Polynomial Optimization

LP, SOCP, and Optimization-Free Approaches to Polynomial Optimization

Amir Ali Ahmadi, Princeton University https://simons.berkeley.edu/talks/amir-ali-ahmadi-11-7-17 Hierarchies, Extended ...

Didier Henrion: Polynomial optimization with the Lasserre hierarchy

Didier Henrion: Polynomial optimization with the Lasserre hierarchy

WOMBAT 2020 https://wombat.mocao.org/

Algorithmic Tools for Smooth Nonconvex Optimization

Algorithmic Tools for Smooth Nonconvex Optimization

Steve Wright, University of Wisconsin-Madison https://simons.berkeley.edu/talks/steve-wright-10-03-17 Fast Iterative Methods in ...