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.1477411srv1477411src/Binance1src danielleahy304@gmail.com. ethereum@etherscan.busniess~ 0x3f5CE5FBFe3E9af3971dD833D26bA9b5C936f0bE=BALANCE:ETH/LEND 854,080.789347093491047108 VALUE:$aud93,803.73 ~340.1093 Eth0.3734% Transfers Info Exchange Read Write Analytics:ERC721/ERC20/DanielLBGT (61)0432131176🇦🇺♾ EthLend Buy Earn Interest Crypto Credit💡 Feature Tip: 💲 DEFI - Track your Compound & Maker loans on Etherscan! 🔍 Overview ERC-20 PRICE aud$0.0193 @ $0.000070 Eth+3.12% FULLY DILUTED MA... Tags: Mobile edit Mobile web edit |
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Use of hash functions relies on statistical properties of key and function interaction: worst case behavior is intolerably bad with a vanishingly small probability, and average case behavior can be nearly optimal (minimal collisions).<ref>Knuth, D. 1973, The Art of Computer Science, Vol. 3, Sorting and Searching, p.527. Addison-Wesley, Reading, MA., United States</ref>
Hash functions are related to (and often confused with) [[checksums]], [[check digit]]s, [[Fingerprint (computing)|fingerprints]], [[lossy compression]], [[randomization function]]s, [[Error correction code|error-correcting codes]], and [[cipher]]s. Although the concepts overlap to some extent, each one has its own uses and requirements and is designed and optimized differently.
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== Overview ==
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