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genpark-conjugate-gradient-krylov-subspace-solver-skill

Autonomous Agent Conjugate Gradient Krylov Subspace Iterative Solver for SPD Linear Systems

Details

External ID
1362931972
Source
GITHUB
Company
—
Product
genpark-conjugate-gradient-krylov-subspace-solver-skill
Website domain
github.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
agentic-ai, conjugate-gradient, genpark-skill, krylov-subspace, linear-algebra, linear-solvers
Fetched at
Sept. 13, 2026, 5:48 a.m.
Updated at
Sept. 13, 2026, 5:48 a.m.

Enrichment

Theme
scientific computing and research algorithms
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
conjugate gradient iterative linear solver skill for ai agents
Manually corrected
False

Could you build this?

Yes Conjugate Gradient for symmetric positive-definite linear systems is a straightforward numerical algorithm easily synthesized and verified by modern LLMs.

Competitors

Other products that read as similar to this one — 905 launches clear the similarity bar, closest 8 shown.

Attention rank: #487 of 906 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

Other launches for this product

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