Mastering DSA is essential for improving coding efficiency and cracking technical interviews.The right DSA books provide ...

Almost Greedy Basis: A basis that allows the greedy algorithm to achieve near-optimal performance relative to the best possible m-term approximation. Banach Spaces And Greedy Algorithms ...

Social media algorithms are complex sets of rules and calculations used by social media platforms to prioritize content in users’ feeds. They are like the invisible puppeteers behind the scenes, ...

Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate ...

Greedy pursuit, which includes matching pursuit (MP) and orthogonal matching pursuit (OMP), is an efficient approach for sparse approximation. However, conventional greedy pursuit algorithms designed ...

In our report Automated Racism - How police data and algorithms code discrimination into policing, we exposed how police are using two types of “crime prediction” systems: Individual-based, where the ...

SQL has dropped out of TIOBE’s top 10, and the classic programming language Fortran took its place.

Analyze the time and space complexity of your solution. Compare your solution to others and identify areas for improvement.

Less Greedy Equivalence Search is an algorithm for causal discovery from observational and interventional data with prior assumptions. This repository contains the code for the paper "Less Greedy ...

Workplace planning is a key problem in migrating workflow system. Different from general resource allocation or task schedule problems, workplace planning is a multi-constrained combinatorial ...

Data Structures Linked Lists: Detect a Cycle 25 Solution.java Data Structures Stacks: Balanced Brackets 30 Solution.java Data Structures Queues: A Tale of Two Stacks 30 Solution.java Data Structures ...