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.

computer-science algorithms php-algorithms competitive-programming data-structures interview-questions problem-solving recursive-algorithm programming-exercises code-examples coding-challenges algorithm-solutions algorithm-practice php-examples data-structures-and-algorithms iterative-algorithms recursive-algorithms iterative-algorithm classic-algorithms

• Updated Jul 31, 2025
• 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).

statistics matlab expectation expectation-maximization expectation-maximization-algorithm poisson-distribution signalprocessing non-parametric-statistics statistical-estimations iterative-algorithm non-parametric-estimation

• Updated Sep 29, 2026
• TeX

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

matlab feature-selection convergence pca missing-data data-exploration scores chemometrics multivariate-analysis data-imputation explained-variance iterative-algorithm bilinear-model nan-handling loadings o-als lack-of-fit orthogonalized-alternating-least-squares gram-schmidt-orthogonalization ruckebusch

• Updated Aug 7, 2026
• MATLAB

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

matlab feature-selection convergence missing-data reconstruction data-exploration svd principal-component-analysis spectral-data matrix-completion chemometrics multivariate-analysis singular-value-decomposition incomplete-data low-rank-approximation data-imputation iterative-algorithm nan-handling iterative-svd pca-imputation

• Updated Aug 7, 2026
• MATLAB

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

matlab pca missing-data preprocessing spectroscopy scores chemometrics data-recovery gram-schmidt orthogonalization spectral-reconstruction deflation iterative-algorithm saturation-recovery loadings o-als orthogonalized-alternating-least-squares nan-imputation saturated-signal detector-saturation

• Updated Aug 7, 2026
• MATLAB

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

pagerank-algorithm python3 sampling-methods iterative-algorithm

• Updated Oct 5, 2023
• HTML

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…

java recursive-algorithm timecomplexity iterative-algorithm

• Updated Jul 3, 2021
• Java

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

matlab exploratory-data-analysis feature-selection least-squares pca dimensionality-reduction missing-data data-exploration principal-component-analysis scores chemometrics multivariate-analysis data-imputation deflation nipals iterative-algorithm bilinear-model nan-handling loadings variance-explained

• Updated Aug 7, 2026
• MATLAB

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

java computer-science algorithms datastructures recursion backtracking dfs recursive combinatorics recursive-algorithm bfs strategy-pattern depth-first-search dfs-algorithm coin-change algorithms-datastructures iterative bfs-algorithm iterative-algorithm

• Updated Jun 21, 2026
• Java