| b parameter of renormalized beta distribution | 0.1 | 0.1 | | 22.5min | » |
| a parameter of renormalized beta distribution | 0.2 | 0.2 | | 19.9min | » |
| Trigonometry B | 0.3 | 0.4 | | 15.9min | » |
| Trigonometry A | 0.1 | 0.3 | | 4.6min | » |
| Spherical law of cosines | 16.6 | 3.9 | | 6.5min | » |
| Quadratic roots, wide range | 52.6 | 0.1 | | 49.7min | » |
| Quadratic roots, narrow range | 28.5 | 0.3 | | 36.8min | » |
| Quadratic roots, medium range | 43.6 | 0.2 | | 49.8min | » |
| Quadratic roots, full range | 34.1 | 6.6 | | 8.2min | » |
| Midpoint on a great circle | 0.7 | 0.5 | | 3.9min | » |
| Logistic function from Lakshay Garg | 29.4 | 0.4 | | 21.8min | » |
| Hyperbolic tangent | 58.2 | 0.0 | | 18.7min | » |
| Hyperbolic sine | 58.1 | 0.6 | | 10.1min | » |
| Hyperbolic secant | 0.0 | 0.0 | | 6.0min | » |
| Hyperbolic arc-cosine | 32.6 | 0.0 | | 2.3min | » |
| Hyperbolic arc-(co)tangent | 58.6 | 0.6 | | 4.7min | » |
| Hyperbolic arc-(co)secant | 0.0 | 0.0 | | 19.0s | » |
| Equirectangular approximation to distance on a great circle | 38.7 | 28.8 | | 29.1min | » |
| Eccentricity of an ellipse | 14.8 | 0.0 | | 12.0min | » |
| Distance on a great circle | 24.3 | 13.6 | | 3.6min | » |
| Destination given bearing on a great circle | 0.2 | 0.2 | | 37.9min | » |
| Cubic critical, wide range | 52.6 | 0.2 | | 16.4min | » |
| Cubic critical, narrow range | 28.7 | 0.4 | | 54.7min | » |
| Cubic critical, medium range | 43.7 | 0.2 | | 8.5min | » |
| Cubic critical | 34.1 | 6.7 | | 6.8min | » |
| Bearing on a great circle | 12.9 | 0.4 | | 6.6min | » |
| Asymptote C | 29.3 | 0.1 | | 13.8min | » |
| Asymptote B | 0.0 | 0.0 | | 14.7min | » |
| Asymptote A | 14.4 | 0.1 | | 10.1min | » |
| 2-ancestry mixing, zero discriminant | 16.0 | 0.8 | | 2.9min | » |
| 2-ancestry mixing, positive discriminant | 36.3 | 32.3 | | 21.7min | » |
| 2-ancestry mixing, negative discriminant | 1.0 | 0.0 | | 5.1min | » |
| Quotient of sum of exps | 0.7 | 0.6 | 0.0 | 3.4min | » |
| Quotient of products | 11.6 | 5.4 | 11.4 | 27.2min | » |
| Logistic regression 2 | 0.4 | 0.5 | 0.0 | 10.8min | » |
| Hyperbolic arcsine | 53.4 | 0.3 | 45.3 | 19.4min | » |
| Harley's example | | | | 24.2min | » |
| Exp of sum of logs | 5.7 | 0 | 0 | 2.8s | » |
| (- (/ x0 (- 1 x1)) x0) | 8.4 | 4.0 | 0.5 | 25.0min | » |