Datasets:
Modalities:
Image
Formats:
imagefolder
Size:
< 1K
Tags:
computer-vision
visual-question-answering
visual-sequence-learning
video-frame-prediction
regression-from-images
multimodal-regression
License:
Download algorithm_analysis.json from webxos/underworld_dataset_v3: direct link, hf CLI and curl.
- Browser
- Download file 901 Bytes
-
https://huggingface.co/datasets/webxos/underworld_dataset_v3/resolve/main/algorithm_analysis.json
- Command line
-
hf download hf://datasets/webxos/underworld_dataset_v3/algorithm_analysis.json
-
curl -L -o algorithm_analysis.json https://huggingface.co/datasets/webxos/underworld_dataset_v3/resolve/main/algorithm_analysis.json
901 Bytes
| { | |
| "explanation": "The Fast Inverse Square Root algorithm computes 1/√x using bit manipulation and Newton's method.", | |
| "original_use": "Used in Quake III Arena for lighting and reflection calculations.", | |
| "performance": "Approximately 30x faster than standard floating-point division and square root.", | |
| "steps": [ | |
| "1. Treat the floating-point number as an integer", | |
| "2. Right shift the integer by 1 bit", | |
| "3. Subtract from the magic number (0x5f3759df)", | |
| "4. Treat the result as a floating-point number", | |
| "5. Apply one iteration of Newton's method: y = y * (1.5 - (x2 * y * y))" | |
| ], | |
| "mathematical_basis": "The algorithm exploits the linear relationship between the logarithm of a number and its floating-point representation.", | |
| "magic_number_derivation": "The magic number is derived from the IEEE 754 floating-point format and provides a good initial approximation." | |
| } |