# High Memory Usage with Convex.jl When Solving Optimization Problem with Sparse Matrices

**URL:** <https://discourse.julialang.org/t/high-memory-usage-with-convex-jl-when-solving-optimization-problem-with-sparse-matrices/115896>\
**Category:** Optimization (Mathematical)\
**Created:** [June 20, 2024, 12:49am UTC](https://discourse.julialang.org/t/high-memory-usage-with-convex-jl-when-solving-optimization-problem-with-sparse-matrices/115896 "2024-06-20T00:49:09Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [June 20, 2024, 3:19am UTC](https://discourse.julialang.org/t/high-memory-usage-with-convex-jl-when-solving-optimization-problem-with-sparse-matrices/115896/7 "2024-06-20T03:19:59Z")

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> I am actually using the version 0.15.4

Yes, v0.16 should be much faster. See:

> [@ANN: Convex.jl v0.16 is released](https://discourse.julialang.org/t/ann-convex-jl-v0-16-is-released/114536):
>
> Dear all, We are pleased to announce the release of Convex.jl [v0.16.0](https://github.com/jump-dev/Convex.jl/releases/tag/v0.16.0). This release of Convex involved a substantial internal rewrite of Convex.jl to integrate better with MathOptInterface. The result is a faster, simpler, and more maintainable package that is nearly ready for a 1.0 release. Detailed release notes are available at: [Release notes · Convex.jl](https://jump.dev/Convex.jl/dev/release_notes/) Most of the very large number of changes (131 commits, 270 files changed) affect only the internal representation of Convex.jl models, a…

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