Media Summary: Mixed-integer programming (MIP) has proven itself a valuable tool for practically solving difficult discrete or nonconvex ... The tutorial will cover how to use the new version of Extended Mathematical Programming (EMP) aims at enable the modelling of mathematical problems that do not fit into the ...

Jump Dev 2018 Mathoptinterface And - Detailed Analysis & Overview

Mixed-integer programming (MIP) has proven itself a valuable tool for practically solving difficult discrete or nonconvex ... The tutorial will cover how to use the new version of Extended Mathematical Programming (EMP) aims at enable the modelling of mathematical problems that do not fit into the ... In contrast with most convex optimization classes, state-of-the-art semidefinite programming solvers are yet unable to efficiently ... Topology optimization is a field that combines computational mechanics with optimization theory to come up with new shapes for ... MINLPs arise in practical applications such as synthesis of process and water networks, energy infrastructure networks, to name a ...

Nonconvex optimization problems arise naturally in process systems engineering applications. Most physical models and trivial ... In the current alpha release of MOSEK we have added support for several new cones, specifically the primal and dual power ... A same mathematical optimization problem often possess different equivalent formulations but a given solver may only support ... BlockDecomposition.jl is a package that allows to model decomposable mathematical programs using either a Dantzig-Wolfe or a ...

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JuMP-dev 2018 | MathOptInterface and JuMP 0.19 | Miles Lubin
JuMP-dev 2018 | Systematically building MIP formulations using JuMP and Julia | Joey Huchette
JuMP-dev 2018 | JuMP Tutorial - 0.19 pre release | Joaquim Dias Garcia & Benoit Legat
MathOptInterface: a comprehensive overview | Oscar Dowson | JuMP-dev 2025
JuMP-dev 2018 | JuMP-based module for polynomial opt w/ complex variables | J. Sliwak & G. Bareilles
JuMP-dev 2018 | EMP.jl, a package for modelling Extended Mathematical Programming | Olivier Huber
JuMP-dev 2018 | A semidefinite programming solver written in Julia | Joaquim Dias Garcia
JuMP-dev 2018 | Topology Optimization and JuMP | Mohamed Tarek
JuMP-Dev 2018 | Alpine (formerly POD), A Global Solver for Nonconvex MINLPs | Harsha Nagarajan
JuMP-dev 2018 | EAGO: A Deterministic Nonconvex Optimization Package for Julia | Matthew Wilhelm
JuMP-dev 2018 | Power and exponential Cones with Mosek | Ulf Worsoe
JuMP-dev 2018 | Automatic reformulation using constraint bridges | Benoit Legat
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JuMP-dev 2018 | MathOptInterface and JuMP 0.19 | Miles Lubin

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

MathOptInterface and JuMP

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 | JuMP Tutorial - 0.19 pre release | Joaquim Dias Garcia & Benoit Legat

JuMP-dev 2018 | JuMP Tutorial - 0.19 pre release | Joaquim Dias Garcia & Benoit Legat

The tutorial will cover how to use the new version of

MathOptInterface: a comprehensive overview | Oscar Dowson | JuMP-dev 2025

MathOptInterface: a comprehensive overview | Oscar Dowson | JuMP-dev 2025

The missing talk about

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

JuMP-dev 2018 | EMP.jl, a package for modelling Extended Mathematical Programming | Olivier Huber

JuMP-dev 2018 | EMP.jl, a package for modelling Extended Mathematical Programming | Olivier Huber

Extended Mathematical Programming (EMP) aims at enable the modelling of mathematical problems that do not fit into the ...

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 | 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 2018 | Alpine (formerly POD), A Global Solver for Nonconvex MINLPs | Harsha Nagarajan

JuMP-Dev 2018 | Alpine (formerly POD), A Global Solver for Nonconvex MINLPs | Harsha Nagarajan

MINLPs arise in practical applications such as synthesis of process and water networks, energy infrastructure networks, to name a ...

JuMP-dev 2018 | EAGO: A Deterministic Nonconvex Optimization Package for Julia | Matthew Wilhelm

JuMP-dev 2018 | EAGO: A Deterministic Nonconvex Optimization Package for Julia | Matthew Wilhelm

Nonconvex optimization problems arise naturally in process systems engineering applications. Most physical models and trivial ...

JuMP-dev 2018 | Power and exponential Cones with Mosek | Ulf Worsoe

JuMP-dev 2018 | Power and exponential Cones with Mosek | Ulf Worsoe

In the current alpha release of MOSEK we have added support for several new cones, specifically the primal and dual power ...

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 | 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 ...