Greedy and backtracking algorithms are two common approaches to solve optimization problems, where you want to find the best solution among many possible ones. However, they have different ...

Algorithm design is important for creating a consistent, reliable, and efficient implementation of a solution to a coding problem. It's good to understand what is it that you're trying to do, and ...

In practice, existing algorithms can do the job in reasonable time, but it was possible that extremely complex graphs would make the problem intractable. Not anymore. Science News headlines, in ...

What is an Algorithm? An algorithm is, in its purest sense, a mathematical process for solving a problem using a finite number of steps. In the world of computers, we define an algorithm as a set of ...

Algorithms and Practice problems in Python, Ruby, Javascript, and JQuery. This repo is for me to practice algorithms and improve my programming skills by practicing problems from problem sites like ...

(SMOTE-WENN): SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling. Feature-Based (FW-SMOTE): FW-SMOTE: A feature-weighted oversampling approach for ...

In this talk I will introduce some traditional problems in distributed systems and describe simple algorithms to solve them. The focus will mostly be on asynchronous messaging passing algorithms, ...

The Secretary Problem An algorithm for deciding who to marry, and other tough choices. By Matt Parker. Dec 17, 2014 9:21 AM. ... as is how you then collect your sample.

Quantum computers solve difficult problems efficiently using quantum gates and quantum algorithms. Shor's algorithm is an example of a quantum algorithm that is more efficient than classical ...