Collection of pure python algorithms to solve computational problems.
A ruthlessly strict algorithmic optimization methodology for AI coding agents. Forces your agent to profile, benchmark, and mathematically prove performance gains before writing code.
Aplicación de optimización lógica para administración de inventarios con validación temprana mediante Guard Clauses, eficiencia algorítmica y Data Cleaning.
Data Structures and Algorithms written in Python with Imperative and Object-Oriented style techniques by implementing Abstract Data Types.
Parallel FPGA architecture for prime number discovery based on the Cyclic Prime Emergence Algorithm, featuring O(1) per-step primality check without memory.
Practical examples of FLOPpy for tracking computational cost (FLOP/BOP) in ML/DL models
Optimization of railway station placement to minimize the number of stations and average travel cost for families using A* algorithm.
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