Researchers and engineers often struggle with computationally expensive problems. Libraries implementing optimized algorithms would save time and resources. Academic institutions or tech companies would pay for this. Start with a few key algorithms and expand the library over time. The biggest risk is ensuring correctness and performance.
Optimized algorithms for large-scale computational problems
Develop libraries implementing subquadratic 3SUM and subcubic APSP algorithms. This helps researchers and engineers solve complex problems efficiently.
Why now
As datasets grow, faster algorithms are increasingly critical.
- Who for
- Researchers and engineers
- Business model
- Paid libraries or enterprise licenses
- Effort
- A few months
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