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.

Abstract: This paper discusses high-performance in data recovery in cloud systems using automated snapshot and idea of greedy algorithms when there is disaster. The given methodology will be oriented ...

A2Z/ ├── Problems/ # Solved problems organized by difficulty │ ├── Easy/ # Easy level problems │ ├── Medium/ # Medium level problems │ └── Hard/ # Hard level problems │ ├── DataStructures/ # Core data ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

We study the greedy (exploitation-only) algorithm in bandit problems with a known reward structure. We allow arbitrary finite reward structures, while prior work focused on a few specific ones. We ...

The soil ecosystem has been severely damaged because of the increasingly severe environmental problems caused by excessive application of phosphorus (P) fertilizer, which seriously hinders soil ...

The answer to this simple question is not that simple. The tools that have enabled Facebook to enjoy its position are its access to massive amounts of data and its machine learning algorithms. And it ...

Abstract: Greedy algorithm is powerful and practical and has been used frequently in compressed sensing because it leads to relatively small calculation and is easy to be realized. GraDeS (Gradient ...