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Constrained optimization: Lagrange and KKT v1.0.0
Use this resource to solve a constrained optimization problem with Lagrange or KKT
New
- 516 downloads
- 140 likes
- 127 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install constrained-optimization-kktWith 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 classifies the constraints (equality, inequality, bounds), writes the Lagrangian and then checks the KKT conditions, including complementary slackness. It suggests SLSQP or a penalty method depending on the case. You get the system to solve and the matching numerical method.
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: constraint classification, Lagrangian and KKT conditions
- SKILL.md: SciPy (SLSQP), SymPy (Lagrangian) and Z3 (KKT) commands
Good fit for
- You minimize a cost under an equality constraint
- You have inequality constraints and bounds to respect
Not for
Tags
- optimization
- Lagrange
- KKT
- constraints
About
You say
“Minimize x² + y² subject to x + y = 1 using Lagrange's method.”
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 solve a constrained optimization problem with Lagrange or KKT
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md3.7 KB
Origin and licence
Listed unmodified
- Author
- parcadei
- Source
- github.com/parcadei/continuous-claude-v3/tree/d07ff4b06b62f43771bc0c927d0211b734d6149e/.claude/skills/math/optimization/constrained-optimization
- Licence
- MIT
Notice
« constrained-optimization » (parcadei, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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