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genpark-simplex-linear-real-arithmetic-qflra-skill

Dual Simplex SMT decision procedure solver for Quantifier-Free Linear Real Arithmetic (QF_LRA) constraint feasibility checking.

Details

External ID
1363432819
Source
GITHUB
Company
—
Product
genpark-simplex-linear-real-arithmetic-qflra-skill
Website domain
github.com
Launched
Sept. 10, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agentic-ai, formal-verification, genpark-skill, linear-arithmetic, qf-lra, simplex, smt-solver
Fetched at
Sept. 14, 2026, 1:02 a.m.
Updated at
Sept. 14, 2026, 1:02 a.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
dual simplex smt solver skill for ai agents
Manually corrected
False

Could you build this?

Partial This is a duplicate of product 15442, requiring a specialized SMT decision procedure solver for quantifier-free linear real arithmetic.

What it would actually take: The architecture requires exact rational arithmetic (e.g., GMP), incremental tableau pivoting, non-chronological backtracking, and integration with a CDCL SAT solver core via DPLL(T). The hardest part is handling degeneracy, cycling prevention (Bland's rule), and maintaining numerical precision without exponential memory growth, requiring expertise in formal methods and solver design.

Competitors

Other products that read as similar to this one — 944 launches clear the similarity bar, closest 8 shown.

Attention rank: #763 of 945 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 311 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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