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Showing 8 open source projects for "post"
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PetoronHash-System
PHASH | post-quantum XOF hashing algorithm | C++20
PHASH is a self-contained, dependency-free, post-quantum XOF hashing algorithm implemented in modern C++20. This release delivers the first fully stable production implementation of the PetoronHash-System — a 1600-bit sponge-based hash function with domain separation, extendable output, and deterministic behavior. Key Features No external dependencies — pure C++20 implementation. -
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PetoronHash2
PH2 Permutation-based cryptographic post-quantum hash library with duplex construction (C++20)
PetoronHash2 (PH2) is a standalone ARX-based sponge construction that combines: A 4096-bit internal permutation core A sponge/duplex architecture with explicit capacity separation An extendable-output function (XOF) Memory-hard (HARD) and burn (BURN) modes A structured tagged absorb scheme A parameterized architecture suitable for hashing, KDF, and stress-oriented derivation PH2 is designed as a wide-state cryptographic primitive with explicit domain separation and configurable output... -
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DecisionTree.jl
Julia implementation of Decision Tree (CART) Random Forest algorithm
Julia implementation of Decision Tree (CART) and Random Forest algorithms. -
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Water Retention on Magic Squares Solver
Water Retention on Magic Squares with Constraint-Based Local Search
...urn=urn:nbn:se:uu:diva-176018 I 'm posting two solvers in this project. One written in C++ which is the fastest, at least for the heavier objective functions, and a Dynadec Comet solver which lets you easily post new constraints along with the Magic-constraints. Author: Johan Öfverstedt -
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The C++-programs simulate : Nondeterministic/Deterministic Multitape Turing & Post Machines, Universal Turing Machine, Turing Machine with faults, failures and recovery.
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webdevlib is a open source project for develop web applications, it include general api for web develop, such as string, array, hash, cgi get and post, and template file operate.
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A histogram library for Java that accepts large datasets with any distribution or range with a very small memory footprint, needs no pre- or post-processing, and provides several statistical functions.
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This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.
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