# Initialize a SDP solver with Convex
**URL:** https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339
**Category:** Optimization (Mathematical)
**Created:** [June 7, 2024, 2:28pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339 "2024-06-07T14:28:39Z")
**Posts on this page:** 7
**Page:** 1
### Author:  [@gustave\_Robichon](https://discourse.julialang.org/u/gustave_Robichon)
#### Post date: [June 7, 2024, 2:28pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339/1 "2024-06-07T14:28:39Z")
hello there 🙂
I am using julia to solve some Semi-definite Problem. I use Convex to define the problem and the constraints, then I use Hypatia to solve it :
```
M = HermitianSemidefinite(N)
problem = minimize( real(M[1,1]))
problem.constraints += [...]
solve!(problem, () -> Hypatia.Optimizer())
```
for some reason of feasibility, I need to give the solver an initial value of the matrix M. I would like the solver to begin with M=M0. Is it possible any way ? If I don’t give it the initial matrix it won’t find a feasible solution …
I’ve asked a lot to chatGPT and searched on the net for a solution, but didn’t find any … that’s why I ask it here.
Thanks a lot ! Thanks for reading !
Gustave
---
### Author:  [@ericphanson](https://discourse.julialang.org/u/ericphanson)
#### Post date: [June 7, 2024, 3:42pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339/2 "2024-06-07T15:42:50Z")
It should just be a matter of calling `set_value!(M, M0)` before calling `solve!`, then calling `solve!` with `warmstart=true`.
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### Author:  [@gustave\_Robichon](https://discourse.julialang.org/u/gustave_Robichon)
#### Post date: [June 7, 2024, 4:53pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339/3 "2024-06-07T16:53:00Z")
Yes, but I have this problem showing on the console :
┌ Warning: Skipping variable warmstart; the solver does not support it.
â”” @ Convex ~/.julia/packages/Convex/b2S4H/src/solution.jl:363
I wondered if it was still possible to initialize M=M0 ?
Thanks a lot for answering 🙂
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### Author:  [@ericphanson](https://discourse.julialang.org/u/ericphanson)
#### Post date: [June 7, 2024, 5:15pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339/4 "2024-06-07T17:15:27Z")
In that case you will need to try another solver instead. There is a list here: [Installation Guide · JuMP](https://jump.dev/JuMP.jl/stable/installation/#Supported-solvers)
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### Author:  [@gustave\_Robichon](https://discourse.julialang.org/u/gustave_Robichon)
#### Post date: [June 7, 2024, 5:24pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339/5 "2024-06-07T17:24:10Z")
thank you for this very long list ! I should find what I want 🙂
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### Author:  [@Naman\_Aggarwal](https://discourse.julialang.org/u/Naman_Aggarwal)
#### Post date: [October 4, 2024, 2:01pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339/6 "2024-10-04T14:01:29Z")
@gustave_Robichon just following up on this; were you able to find a suitable solver that supports warmstarting for SDPs? I need it for my application too. Thank you!
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### Author:  [@gustave\_Robichon](https://discourse.julialang.org/u/gustave_Robichon)
#### Post date: [October 7, 2024, 2:38pm UTC](https://discourse.julialang.org/t/initialize-a-sdp-solver-with-convex/115339/7 "2024-10-07T14:38:35Z")
no sorry I didn’t find it. But if you have some tolerance\_inconsistent problem , you can change this parameter, for the solver to find a feasible point.
The time won by a warm start is not so big, I think.