GitHub

DSA Practice

Solved algorithm and data-structure problems in Python, each with a short written explanation of the approach and its time/space complexity, backed by a passing test suite — not just links to LeetCode ...

Game simulator shows how math can guide decisions when resources are limited

In "Bloons Tower Defense," the goal is to stop balloons from reaching the end of a track by strategically placing towers ...
note

I came up with the solution, but couldn't write it in C++ | Learning Log #3

In the previous ABC, I was able to solve up to problem C using only C++. My next goal was to solve problem C faster and, if possible, attempt problem D. However, in ABC479 on Sunday, October 11th, I ...
KDnuggets

Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself

From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, ...
GitHub

DSA — Data Structures & Algorithms

A structured collection of my Data Structures and Algorithms implementations, problem-solving practice, and LeetCode solutions in C++. This repository documents my progress from fundamental data ...
University of Essex

Professor Edward Tsang

A Memetic Genetic Programming with decision tree-based local search for classification problems Aloud, M., Tsang, E., Dupuis, A. and Olsen, R., (2011). Minimal agent-based model for the origin of ...
blog.csdn

Learn X in Y minutes 仓库详解：动态规划（Programmation dynamique）从思想到实战

动态规划（Dynamic Programming / Programmation dynamique）是算法领域最核心的优化技术之一，在 Learn X in Y minutes 仓库中以多语言平行的方式收录了它的完整教程。本文以仓库中的法语版 fr/dynamic-programming.md 为主线，结合英文原版 dynamic-programming.md 与中文版 ...