Algorithm design is more than theory—it's the art of crafting efficient, reliable solutions to real-world problems. From divide-and-conquer strategies to AI-assisted coding, modern approaches blend ...

Algorithms and data structures are the backbone of efficient problem-solving in tech. By learning their principles and design techniques, you can tackle challenges with precision and creativity.

In a conversation with his friends in Bostan, Alex realized that dried fruit is going to be expensive. So he took his basket and went to the grocery store. His son came to help him to buy the basket ...

Abstract: The purpose of this paper is to explore how to construct a multi-criteria decision-making model using greedy algorithm and genetic algorithm to optimize the decision-making problem in the ...

Hash tables are one of the oldest and simplest data structures for storing elements and supporting deletions and queries. Invented in 1953, they underly most computational systems. Yet despite their ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Banach spaces, as complete normed vector spaces, form a central framework in modern functional analysis. Their rich geometric structure underpins much of the theoretical development in approximation ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...