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Total Size:
93.1 MB
Info Hash:
A28220E60CDFF23F4523607FEF64C595910BB705
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Added:
April 20, 2026, 4:50 p.m.
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(Last updated: April 20, 2026, 4:50 p.m.)
| File | Size |
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| ['Jacquet P. Paradoxes and Physical Limits of Information Theory 2025.pdf'] | 0 bytes |
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93.1 MB
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30]
2026-04-20
| Uploaded by andryold1 | Size 93.1 MB | Health [ 39 /30 ] | Added 2026-04-20 |
NOTE
SOURCE: Jacquet P. Paradoxes and Physical Limits of Information Theory 2025
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COVER
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MEDIAINFO
Textbook in PDF format The unique compendium starts with a simplified version of the information theory which allows any beginner in math to embrace the mysterious concept of entropy without hitting hard the wall of probability theory. The volume continues with the full description of the information theory, enlightening source coding in the heart of the theory with data compression and self-prediction to get into the information age. Then it concludes with artificial intelligence and quantum information. This useful reference text benefits professionals, researchers, academics and graduate students in the fields of information theory, probability theory, electromagnetism, machine learning and quantum theory
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