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Convex optimization: convexity and solver choice v1.0.0
Use this resource to check convexity and choose a solver for an optimization problem
New
- 457 downloads
- 161 likes
- 151 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install convex-optimization-solver-choiceWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent follows a decision tree: it checks convexity of the objective and of the constraint set, then classifies the problem (linear, quadratic, general convex, semidefinite). It then points to the matching solver with its SciPy or CVXPY commands. You get a structured method and the commands to run.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: decision tree, problem classification and solver table
- SKILL.md: SciPy, CVXPY and Z3 commands for each problem type
Good fit for
- You need to minimize a cost under linear or quadratic constraints
- You want to confirm a problem is convex before choosing a solver
Not for
Tags
- convex optimization
- linear programming
- solver
- mathematics
About
You say
“Is this minimization problem with quadratic constraints convex, and which solver should I use?”
Skill published by parcadei under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to check convexity and choose a solver for an optimization problem
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md3.6 KB
Origin and licence
Listed unmodified
- Author
- parcadei
- Source
- github.com/parcadei/continuous-claude-v3/tree/d07ff4b06b62f43771bc0c927d0211b734d6149e/.claude/skills/math/optimization/convex-optimization
- Licence
- MIT
Notice
« convex-optimization » (parcadei, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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