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Objects are instances of a class. Object-oriented programming (OOP) is a programming paradigm based on the concept of objects, [1] which can contain data and code: data in the form of fields (often known as attributes or properties), and code in the form of procedures (often known as methods).
Pseudocode. In computer science, pseudocode is a description of the steps in an algorithm using a mix of conventions of programming languages (like assignment operator, conditional operator, loop) with informal, usually self-explanatory, notation of actions and conditions. [1][2] Although pseudocode shares features with regular programming ...
A common interview question at Google is how to route data among data processing nodes; routes vary by time to transfer the data, but nodes also differ by their computing power and storage, compounding the problem of where to send data. The travelling purchaser problem deals with a purchaser who is charged with purchasing a set of products. He ...
Comment (computer programming) An illustration of Java source code with prologue comments indicated in red and inline comments in green. Program code is in blue. In computer programming, a comment is a human-readable explanation or annotation in the source code of a computer program. They are added with the purpose of making the source code ...
Skeleton (computer programming) Skeleton programming is a style of computer programming based on simple high-level program structures and so called dummy code. Program skeletons resemble pseudocode, but allow parsing, compilation and testing of the code. Dummy code is inserted in a program skeleton to simulate processing and avoid compilation ...
A longest common subsequence (LCS) is the longest subsequence common to all sequences in a set of sequences (often just two sequences). It differs from the longest common substring: unlike substrings, subsequences are not required to occupy consecutive positions within the original sequences. The problem of computing longest common subsequences ...
Cigarette smokers problem. The cigarette smokers problem is a concurrency problem in computer science, originally described in 1971 by Suhas Patil. The problem has been criticized for having "restrictions which cannot be justified by practical considerations." [1]
There are several possible solutions, but all solutions require a mutex, which ensures that only one of the participants can change state at once.The barber must acquire the room status mutex before checking for customers and release it when they begin either to sleep or cut hair; a customer must acquire it before entering the shop and release it once they are sitting in a waiting room or ...