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genpark-quadratic-programming-active-set-skill

Active-set Karush-Kuhn-Tucker (KKT) quadratic programming (QP) solver for quadratic costs with equality/inequality constraints

Details

External ID
1392413522
Source
GITHUB
Company
—
Product
genpark-quadratic-programming-active-set-skill
Website domain
github.com
Launched
Sept. 28, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
active-set-method, agent-skills, constrained-optimization, convex-qp, kkt-conditions, lagrange-multipliers, mcp, optimal-control, python-standard-library, quadratic-cost, quadratic-programming
Fetched at
Sept. 30, 2026, 1:02 a.m.
Updated at
Sept. 30, 2026, 1:02 a.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
quadratic programming solver for constrained optimization
Manually corrected
False

Could you build this?

Yes Active-set quadratic programming algorithms with KKT condition checks are well-documented textbook mathematical routines readily generated by AI coding assistants.

Competitors

Other products that read as similar to this one — 672 launches clear the similarity bar, closest 8 shown.

Attention rank: #485 of 673 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 328 days after the earliest competitor.

Other launches for this product

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