Media Summary: Mixed-integer programming (MIP) has proven itself a valuable tool for practically solving difficult discrete or nonconvex ... A same mathematical optimization problem often possess different equivalent formulations but a given solver may only support ... Topology optimization is a field that combines computational mechanics with optimization theory to come up with new shapes for ...

Jump Dev 2018 Automatic Reformulation - Detailed Analysis & Overview

Mixed-integer programming (MIP) has proven itself a valuable tool for practically solving difficult discrete or nonconvex ... A same mathematical optimization problem often possess different equivalent formulations but a given solver may only support ... Topology optimization is a field that combines computational mechanics with optimization theory to come up with new shapes for ... The Unreasonable Effectiveness of Multiple Dispatch Presented by Stefan Karpinski at the 2019 In contrast with most convex optimization classes, state-of-the-art semidefinite programming solvers are yet unable to efficiently ... We consider a microgrid management problem where multiple units are interacting together via a network. Each unit is ...

The latest 11.0 release of the nonlinear solver Artelys Knitro will be presented. This new version introduces a novel solver for ... BlockDecomposition.jl is a package that allows to model decomposable mathematical programs using either a Dantzig-Wolfe or a ... Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this ...

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JuMP-dev 2018 | Systematically building MIP formulations using JuMP and Julia | Joey Huchette
JuMP-dev 2018 | Automatic reformulation using constraint bridges | Benoit Legat
JuMP-dev 2018 | Topology Optimization and JuMP | Mohamed Tarek
JuMP-dev 2019 | Stefan Karpinski | The Unreasonable Effectiveness of Multiple Dispatch
JuMP ToQUBO Automatic Reformulation | Pedro Xavier | JuliaCon 2022
JuMP-dev 2018 | MathOptInterface and JuMP 0.19 | Miles Lubin
JuMP-dev 2018 | A semidefinite programming solver written in Julia | Joaquim Dias Garcia
JuMP-dev 2018 | Optimal energy management and stochastic decomposition | Francois Pacaud
JuMP-dev 2018 | Artelys Knitro 11.0, a new conic solver and other novelties | Jean hubert Hours
JuMP-dev 2018 | Modeling decomposable Mixed Integer Programs | Guillaume Marques
The state of JuMP | Miles Lubin | JuMP-dev 2025
JuMP-dev 2018 | The Gravity modeling language | Hassan Hijazi
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JuMP-dev 2018 | Systematically building MIP formulations using JuMP and Julia | Joey Huchette

JuMP-dev 2018 | Systematically building MIP formulations using JuMP and Julia | Joey Huchette

Mixed-integer programming (MIP) has proven itself a valuable tool for practically solving difficult discrete or nonconvex ...

JuMP-dev 2018 | Automatic reformulation using constraint bridges | Benoit Legat

JuMP-dev 2018 | Automatic reformulation using constraint bridges | Benoit Legat

A same mathematical optimization problem often possess different equivalent formulations but a given solver may only support ...

JuMP-dev 2018 | Topology Optimization and JuMP | Mohamed Tarek

JuMP-dev 2018 | Topology Optimization and JuMP | Mohamed Tarek

Topology optimization is a field that combines computational mechanics with optimization theory to come up with new shapes for ...

JuMP-dev 2019 | Stefan Karpinski | The Unreasonable Effectiveness of Multiple Dispatch

JuMP-dev 2019 | Stefan Karpinski | The Unreasonable Effectiveness of Multiple Dispatch

The Unreasonable Effectiveness of Multiple Dispatch Presented by Stefan Karpinski at the 2019

JuMP ToQUBO Automatic Reformulation | Pedro Xavier | JuliaCon 2022

JuMP ToQUBO Automatic Reformulation | Pedro Xavier | JuliaCon 2022

We present ToQUBO.jl, a Julia package to

JuMP-dev 2018 | MathOptInterface and JuMP 0.19 | Miles Lubin

JuMP-dev 2018 | MathOptInterface and JuMP 0.19 | Miles Lubin

MathOptInterface and

JuMP-dev 2018 | A semidefinite programming solver written in Julia | Joaquim Dias Garcia

JuMP-dev 2018 | A semidefinite programming solver written in Julia | Joaquim Dias Garcia

In contrast with most convex optimization classes, state-of-the-art semidefinite programming solvers are yet unable to efficiently ...

JuMP-dev 2018 | Optimal energy management and stochastic decomposition | Francois Pacaud

JuMP-dev 2018 | Optimal energy management and stochastic decomposition | Francois Pacaud

We consider a microgrid management problem where multiple units are interacting together via a network. Each unit is ...

JuMP-dev 2018 | Artelys Knitro 11.0, a new conic solver and other novelties | Jean hubert Hours

JuMP-dev 2018 | Artelys Knitro 11.0, a new conic solver and other novelties | Jean hubert Hours

The latest 11.0 release of the nonlinear solver Artelys Knitro will be presented. This new version introduces a novel solver for ...

JuMP-dev 2018 | Modeling decomposable Mixed Integer Programs | Guillaume Marques

JuMP-dev 2018 | Modeling decomposable Mixed Integer Programs | Guillaume Marques

BlockDecomposition.jl is a package that allows to model decomposable mathematical programs using either a Dantzig-Wolfe or a ...

The state of JuMP | Miles Lubin | JuMP-dev 2025

The state of JuMP | Miles Lubin | JuMP-dev 2025

We give an overview of the last year in

JuMP-dev 2018 | The Gravity modeling language | Hassan Hijazi

JuMP-dev 2018 | The Gravity modeling language | Hassan Hijazi

http://www.juliaopt.org/meetings/bordeaux2018/ Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this ...

JuMP-dev 2018 | JuMP-based module for polynomial opt w/ complex variables | J. Sliwak & G. Bareilles

JuMP-dev 2018 | JuMP-based module for polynomial opt w/ complex variables | J. Sliwak & G. Bareilles

Original title: A Julia