Datasets:
Modalities:
Image
Formats:
imagefolder
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< 1K
Tags:
computer-vision
visual-question-answering
visual-sequence-learning
video-frame-prediction
regression-from-images
multimodal-regression
License:
File size: 901 Bytes
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{
"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."
} |