This repository contains a set of classic algorithm problems and solutions implemented in PHP 8 and above. It is designed for anyone looking to practice or improve their algorithm skills using modern PHP.

The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).

OALS calculates the scores and loadings from data with missing values.

This code recovers saturated signals using O-ALS by treating saturated signal as NaNs and reconstructing them from PCA subspace.

Iterative SVD performs iterative PCA-based imputation to handle missing data.

This repository contains a program planned in pseudo code and executed in Java of two adaptations of a program that takes an input number of any length of irregular number of binary characters `0` and `1` and a concealed `*` character at certain positions, locates all potential groupings of paired strings that can be built by supplanting the mas…

First of the two projects for lecture 2 Uncertainty to "Artificial Intelligence with Python" Harvard course

NIPALS performs PCA on data using iterative least squares and deflation steps. It can deal with missing values.

An elegant Java solution to the Unbounded Knapsack / Coin Change problem, featuring both recursive and iterative DFS implementations