Replacement Policy implemented in linux. Assigned 5/12/2020, Due 12/12/2020
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Updated
Jan 20, 2021 - C++
Replacement Policy implemented in linux. Assigned 5/12/2020, Due 12/12/2020
This repository is intended to work as an archive to collect the best (i.e. most efficient) solutions to leetcode problems, both in space and time.
Point estimates, confidence intervals and p-values for adaptive two-stage designs with planned adaptivity.
Development version of ph2rand, an R package for the design of randomized comparative phase II oncology trials
Python translation of Cuturi's MATLAB code for Sinkhorn Optimal Transport.
uitb-tools: Trajectory analysis tools for the uitb framework.
Trabalho de SO sobre algoritmos de Substituição de página
Methods to calculate optimal design parameters for one- and two-stage three-arm group-sequential gold-standard non-inferiority trial designs with or without binding or nonbinding futility boundaries.
Find and Compute optimal submatrix of invalid correlation matrix
Java graph traversal and path finding algorithms library. Implements Iterative deepening A* (IDA*)
A Python-based CLI tool for managing expenses with the Splitwise model, simplifying group expenses in the terminal.
The repository contains implementation of some data science algorithms
This repository is intended to work as an archive to collect the best (i.e. most efficient) solutions to hackerrank problems, both in space and time.
This C++-based program implements several of the most popular page replacement algorithms (Optimal, FIFO, LRU, Clock).
Page Replacement Algorithms manage memory efficiently in computer systems. FIFO (First In, First Out) replaces the oldest page, simple but inefficient. Optimal replaces the page that won't be used for the longest time, ideal but impractical. LRU (Least Recently Used) swaps out the least recently accessed page, balancing simplicity and effectiveness
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