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Leetcode is an online platform for coding interview preparation See the article decidable language. The platform provides coding and algorithmic problems intended for users to practice coding
[3] leetcode has gained popularity among job seekers in the software industry and coding enthusiasts as a resource for technical interviews and coding competitions More formally, an undecidable problem is a problem whose language is not a recursive set [3][4][5][6][7] as of 2025, the website has 26.3 million monthly visitors.
The maximum coverage problem is a classical question in computer science, computational complexity theory, and operations research
It is a problem that is widely taught in approximation algorithms. Passing those problems by having a working solution will always be a key factor in getting a big tech job You can practice coding questions on places like leetcode. The aim of competitive programming is to write computer programs which are able to solve given problems
A vast majority of problems appearing in programming contests are mathematical or logical in nature Typical such tasks belong to one of the following categories Combinatorics, number theory, graph theory, algorithmic game theory, computational geometry, string analysis, discrete. In computer science, the clique problem is the computational problem of finding cliques (subsets of vertices, all adjacent to each other, also called complete subgraphs) in a graph
In optimization theory, maximum flow problems involve finding a feasible flow through a flow network that obtains the maximum possible flow rate
The maximum flow problem can be seen as a special case of more complex network flow problems, such as the circulation problem. The assignment problem is a fundamental combinatorial optimization problem In its most general form, the problem is as follows The problem instance has a number of agents and a number of tasks
Dining philosophers problem illustration of the dining philosophers problem Each philosopher has a bowl of spaghetti and can reach two of the forks In computer science, the dining philosophers problem is an example problem often used in concurrent algorithm design to illustrate synchronization issues and techniques for resolving them. Covering problems in combinatorics and computer science, covering problems are computational problems that ask whether a certain combinatorial structure 'covers' another, or how large the structure has to be to do that
Covering problems are minimization problems and usually integer linear programs, whose dual problems are called packing problems.
List of undecidable problems in computability theory, an undecidable problem is a decision problem for which an effective method (algorithm) to derive the correct answer does not exist
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