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Fix a variety of typos throughout the website (#137)
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Diff for: _posts/2017-06-12-jump_dev_2017.md

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main building of MIT Sloan.
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Thursday all day and Friday all day, the workshop will take place in the room
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<a href="http://whereis.mit.edu/?go=E52">E62-650</a>. This is on the sixth floow of the main building of MIT Sloan.
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<a href="http://whereis.mit.edu/?go=E52">E62-650</a>. This is on the sixth floor of the main building of MIT Sloan.
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## Schedule

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interior-point solver [Tulip.jl](https://github.com/ds4dm/Tulip.jl) during
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August 2020's JuMP monthly developer call.
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The talk material is available on [his Github](https://github.com/mtanneau/jump-dev_2020).
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The talk material is available on [his GitHub](https://github.com/mtanneau/jump-dev_2020).
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<iframe width="560" height="315" src="https://www.youtube.com/embed/lT1DExrUZYc" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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Diff for: _posts/2020-09-21-release-0-21-5.md

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We are happy to announce the joint release of JuMP 0.21.5 and MathOptInterface
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0.9.17! These releases are a mix of new features and some much needed
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performance optimizations. This should be a non-breaking release, please let us
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know if this isn't the case by [opening a Github issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose)
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know if this isn't the case by [opening a GitHub issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose)
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or joining the [Developer chatroom](/chatroom). We did have
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a couple of bugs that slipped into a short-lived release, hence the jump (if you
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will excuse us) from 0.21.3 to 0.21.5.
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* [@andrewrosemberg](https://github/com/andrewrosemberg) [fixed a bug](https://github.com/jump-dev/JuMP.jl/pull/2319)
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that affected heuristic callbacks.
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We also thank testing improvments from [@iainnz](https://github/com/iainnz),
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We also thank testing improvements from [@iainnz](https://github/com/iainnz),
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documentation improvements from [@zlatanvasovic](https://github/com/zlatanvasovic),
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[@mtanneau](https://github/com/mtanneau) and [@aks1996](https://github/com/aks1996).
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Diff for: _posts/2020-10-21-governance.md

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* Clarifying our decision-making process, by describing who gets to decide what
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when.
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* Listing what Github permissions different entities have to the repositories
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in the [jump-dev](https://github.com/jump-dev) Github organization.
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* Listing what GitHub permissions different entities have to the repositories
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in the [jump-dev](https://github.com/jump-dev) GitHub organization.
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* Outlining channels of community involvement, including the poorly publicized
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fact that we hold a monthly developer call.
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* Formalizing a process for transferring repositories to the
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[jump-dev](https://github.com/jump-dev) Github organization.
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[jump-dev](https://github.com/jump-dev) GitHub organization.
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We believe this document strengthens the foundation of JuMP, and sets it up for
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a sustainable, long-term future.

Diff for: _posts/2021-01-28-release-0-21-6.md

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We are happy to announce the release of JuMP 0.21.6. This should be a
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non-breaking release, please let us know if this isn't the case by
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[opening a Github issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose)
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[opening a GitHub issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose)
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or joining the [developer chatroom](/chatroom).
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A key feature of interest is that we have significantly revised our
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* Some internal functions that were unintentionally exported are now no longer
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exported.
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* Fixed a bug when relaxing a fixed binary variable.
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* Fixed a `StackOverflowError` that occured when `SparseAxisArray`s had a
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* Fixed a `StackOverflowError` that occurred when `SparseAxisArray`s had a
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large number of elements.
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* Removed an unnecessary type assertion in `list_of_constraint_types`.
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* Fixed a bug when copying models with registered expressions.
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to roll out over time, as we fix upstream issues in the formatter, and will
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eventually become compulsory.
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* The root cause of a large number of method invalidations has been resolved.
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* We switched continuous integration from Travis and Appveyor to Github
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* We switched continuous integration from Travis and Appveyor to GitHub
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Actions.
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We also have a number of community contributors to thank, including

Diff for: _posts/2021-04-12-release-0-21-7.md

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We are happy to announce the release of JuMP 0.21.7. This should be a
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non-breaking release, please let us know if this isn't the case by
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[opening a Github issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose)
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[opening a GitHub issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose)
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or joining the [developer chatroom](/chatroom).
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A key feature of interest is that we have continued to significantly revise our

Diff for: _posts/2021-04-20-jump_dev_2021.md

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## Watch the talks
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You can watch all of the talks for JuMP-dev 2021 in this Youtube playlist:
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You can watch all of the talks for JuMP-dev 2021 in this YouTube playlist:
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<iframe width="560" height="315" src="https://www.youtube.com/embed/videoseries?list=PLP8iPy9hna6Rf8_oh9oR2bNeBO-Rw8pzc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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You can also skip to one of the talks using the links below:
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| **Title** | **Speaker** | **Video link** |
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| --------- | ----------- | -------------- |
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| --------- | ----------- | -------------- |
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| The state of JuMP | Oscar Dowson| [video](https://www.youtube.com/watch?v=ODUrSmeWIBQ&list=PLP8iPy9hna6Rf8_oh9oR2bNeBO-Rw8pzc) |
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| What's new in COSMO? | Michael Garstka| [video](https://www.youtube.com/watch?v=O50kKay3Ie8&list=PLP8iPy9hna6Rf8_oh9oR2bNeBO-Rw8pzc&index=2) |
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| Conic optimization example problems in Hypatia.jl | Chris Coey| [video](https://www.youtube.com/watch?v=bUhRcLpdkIg&list=PLP8iPy9hna6Rf8_oh9oR2bNeBO-Rw8pzc&index=3) |

Diff for: _posts/2021-09-18-cp-0-6.md

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and conic optimization. However, the MathOptInterface API is amenable to other
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kinds of formalism, including [constraint programming](https://en.wikipedia.org/wiki/Constraint_programming).
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In constrast to linear or conic programs, constraint programs typically have no
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In contrast to linear or conic programs, constraint programs typically have no
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objective function, but a much wider variety of constraints that are supported.
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The best-known constraint is probably `all_different`, which models the fact
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that several integer-valued variables should take different values (i.e., no two

Diff for: _posts/2021-11-02-tutorial-multi-jdf.md

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This post is in the same form as tutorials in the JuMP
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[documentation](https://jump.dev/JuMP.jl/stable/tutorials/Getting%20started/getting_started_with_JuMP/)
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but is hosted here since we depend on using some commercial solvers (Gurobi
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and CPLEX) that are not currently accomodated by the JuMP GitHub repository.
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and CPLEX) that are not currently accommodated by the JuMP GitHub repository.
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## Symmetric number squares
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Diff for: _posts/2022-01-31-jump_dev_2022.md

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## Schedule
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All talks at JuMP-dev will be played live on Youtube at the times below.
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All talks at JuMP-dev will be played live on YouTube at the times below.
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[Register for JuliaCon](https://juliacon.org/2022/tickets/) to receive a link
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and instructions for how to watch. After the event, we will replace the "Time"
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column with links to the recorded videos.
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| Fast optimization via randomized numerical linear algebra | Theo Diamandis | [video](https://www.youtube.com/watch?v=aVw-T7rgCDE) |
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JuMP-dev program, still used JuMP and that you might find interesting.
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JuMP-dev program, still used JuMP and that you might find interesting.
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| **Title** | **Speaker** | **Video link** |
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| --------------------------------------------------------- | ------------------ | -------------- |

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## Abstract
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In this talk, we will give an overview of the Github organization JuliaSmoothOptimizers and its 37 packages. In particular, we will focus on its NLPModel.jl API used to represent a nonlinear continuous optimization model independently of its origin. We illustrate a use-case with NLPModelsJuMP.jl, which translates any JuMP.jl / MathOptInterface.jl NLP model to NLPModels.
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In this talk, we will give an overview of the GitHub organization JuliaSmoothOptimizers and its 37 packages. In particular, we will focus on its NLPModel.jl API used to represent a nonlinear continuous optimization model independently of its origin. We illustrate a use-case with NLPModelsJuMP.jl, which translates any JuMP.jl / MathOptInterface.jl NLP model to NLPModels.

Diff for: _posts/2023-07-20-gams-blog.md

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one that is embedded in a programming language. Indeed, a key feature of JuMP
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is that the code users write inside the modeling macros (the identifiers
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beginning with `@`) is not what gets executed. Instead, JuMP parses the syntax
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that that the user writes and compiles it into a different form that is more
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that the user writes and compiles it into a different form that is more
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> While it’s true that general-purpose programming languages offer more

Diff for: _posts/2023-09-14-jump-1.15.md

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Try it out! If you encounter any problems, or have any feedback on the new
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or [open a Github issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose).
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or [open a GitHub issue](https://github.com/jump-dev/JuMP.jl/issues/new/choose).

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JuMP-dev 2024 will be held 19-21 July, 2024 in Montréal, Canada. This is
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The workshop is organised with the help of the [GERAD research center](https://www.gerad.ca/en).
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The workshop is organized with the help of the [GERAD research center](https://www.gerad.ca/en).
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## Outline
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at UC Berkeley are working on [MPSGE.jl](https://github.com/anthofflab/MPSGE.jl),
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[MPSGE](https://www.gams.com/solvers/mpsge/index.htm) from GAMS into JuMP. Tom's
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group is also looking at adopting JuMP for their [official WiNDC model](https://github.com/uw-windc/WiNDC.jl).
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## Multi-objective
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```julia
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## Constraint programming
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The nonlinear improvements and generic number support combine to enable some
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nice improvements to constraint programming. Although JuMP isn't a fully fledged
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constraint programming language like [MiniZinc](https://www.minizinc.org), with
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help from [Chris Coey](https://github.com/chriscoey), it is now possible to
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# This post is in the same form as tutorials in the JuMP
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# [documentation](https://jump.dev/JuMP.jl/stable/tutorials/Getting%20started/getting_started_with_JuMP/)
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# but is hosted here since we depend on using some commercial solvers (Gurobi
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# and CPLEX) that are not currently accomodated by the JuMP GitHub repository.
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# and CPLEX) that are not currently accommodated by the JuMP GitHub repository.
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# ## Symmetric number squares
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# one that is embedded in a programming language. Indeed, a key feature of JuMP
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# beginning with `@`) is not what gets executed. Instead, JuMP parses the syntax
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# that that the user writes and compiles it into a different form that is more
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# that the user writes and compiles it into a different form that is more
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# > While it’s true that general-purpose programming languages offer more

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JuMP uses the `#jump-dev` channel of the Julia community slack to discuss
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Join the Julia community slack by following the link and instructons at
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Join the Julia community slack by following the link and instructions at
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[https://julialang.org/slack/](https://julialang.org/slack/).

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collection of tools primarily designed for developing solvers for smooth
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nonlinear optimization.
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- [JuliaNLSolvers](https://github.com/JuliaNLSolvers) offers implementations in
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Julia of standard standard optimization algorithms for unconstrained or
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Julia of standard optimization algorithms for unconstrained or
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box-constrained problems such as BFGS, Nelder-Mead, conjugate gradient, etc.
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- JuliaHub lists 200+
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[optimization packages in Julia](https://juliahub.com/ui/Packages?t=optimization)!

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at 14:00 Eastern time. The call is open to all community members. For a
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* There is a montly call focused on nonlinear programming on the second
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* There is a monthly call focused on nonlinear programming on the second
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Wednesday of each month. The call is open to all community members. For a
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calendar invite and access to the Zoom link, join the [developer chatroom](/chatroom)
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and ask `@frapac` for an invite.

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