Add to ORKGIn this dissertation, we present our work on the theory and applications of Mixed Integer Linear Optimization (MILO) and Mixed Integer Second Order Cone Optimization (MISOCO). The dissertation is separated in three parts.In the first part, we focus on th
Optimization is a scientific discipline that lies at the boundarybetween pure and applied mathematic...
Any convex optimization problem may be represented as a conic problem that minimizes a linear functi...
As advanced undergraduate and graduate students begin conducting research, they must base their work...
A linear conic optimization problem consists of the minimization of a linear objective function over...
Mixed Integer Second Order Cone Optimization (MISOCO) problems allow practitioners to mathematically...
Most OR academics and practitioners are familiar with linear programming (LP) and its applications. ...
This thesis studies computational approaches for mixed-integer second-order cone optimization (MISOC...
Conic quadratic functions arise often when modeling uncertainty and risk-aversion, and are used in m...
International audienceThere exist efficient algorithms to project a point onto the intersection of a...
International audienceSemidefinite and conic optimization is a major and thriving research area with...
Many central problems throughout optimization, machine learning, and statistics are equivalent to o...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Resea...
In this dissertation we study an algorithm for convex optimization problems in conic form. (Without ...
The tuning of optimization software is of key interest to researchers solving mixed integer programm...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Optimization is a scientific discipline that lies at the boundarybetween pure and applied mathematic...
Any convex optimization problem may be represented as a conic problem that minimizes a linear functi...
As advanced undergraduate and graduate students begin conducting research, they must base their work...
A linear conic optimization problem consists of the minimization of a linear objective function over...
Mixed Integer Second Order Cone Optimization (MISOCO) problems allow practitioners to mathematically...
Most OR academics and practitioners are familiar with linear programming (LP) and its applications. ...
This thesis studies computational approaches for mixed-integer second-order cone optimization (MISOC...
Conic quadratic functions arise often when modeling uncertainty and risk-aversion, and are used in m...
International audienceThere exist efficient algorithms to project a point onto the intersection of a...
International audienceSemidefinite and conic optimization is a major and thriving research area with...
Many central problems throughout optimization, machine learning, and statistics are equivalent to o...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Resea...
In this dissertation we study an algorithm for convex optimization problems in conic form. (Without ...
The tuning of optimization software is of key interest to researchers solving mixed integer programm...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Optimization is a scientific discipline that lies at the boundarybetween pure and applied mathematic...
Any convex optimization problem may be represented as a conic problem that minimizes a linear functi...
As advanced undergraduate and graduate students begin conducting research, they must base their work...