Numerical Research Kit
ChatGPT pluginCompare error and cost
Compare baseline and candidate numerical predictions against reference values. Inspect mean squared error, declared costs and fixed-correction bounds, then freeze and verify saved records. Includes deterministic Python tools, strict input checks and a synthetic solver example. Requires Python 3.9 or later and file execution. Costs and references are supplied by the user; no automatic cost measurement, statistical confidence or scientific certification is provided.
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Developer tools641st of 900 by placement
| # | Plugin | Position | 7d |
|---|---|---|---|
| 639 | #7294 | 23places up | |
| 640 | #7338 | 40places up | |
| 641 | #7351 | 9places down | |
| 642 | #7359 | 12places down | |
| 643 | #7371 | 48places up |
Example prompts
- “Compare my baseline and candidate predictions against these reference values.”
- “Check whether this fixed correction can justify its declared computational cost.”
- “Verify this saved numerical comparison and show every failed case.”
Skills
compare-numerical-methods
Compare baseline and candidate numerical predictions against reference values, examine error versus declared cost, bound a fixed correction's possible benefit, or freeze and verify numerical comparison records. Use for numerical solver or approximation comparisons with finite vector outputs. Requires Python 3.9 or later and a file execution environment.
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- Made by
- Adem Vessell · Website
- Sign-in
- On Install
- Availability
- Available
- Version
- 0.3.0
- Keywords
- numerical-analysis, research, comparison
- Created
- October 1, 2026
- More info
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