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2. Coding interview - Wikipedia

   en.wikipedia.org/wiki/Coding_interview

   A coding interview, technical interview, programming interview or Microsoft interview is a technical problem-based job interview technique to assess applicants for a computer programming or software development position. Modern coding interview techniques were pioneered by Microsoft during the 1990s [1] and adopted by other large technology ...

3. Producer–consumer problem - Wikipedia

   en.wikipedia.org/wiki/Producer–consumer_problem

   In computing, the producer-consumer problem (also known as the bounded-buffer problem) is a family of problems described by Edsger W. Dijkstra since 1965.. Dijkstra found the solution for the producer-consumer problem as he worked as a consultant for the Electrologica X1 and X8 computers: "The first use of producer-consumer was partly software, partly hardware: The component taking care of the ...

4. Fizz buzz - Wikipedia

   en.wikipedia.org/wiki/Fizz_buzz

   Fizz buzz is a group word game for children to teach them about division. [1] Players take turns to count incrementally, replacing any number divisible by three with the word "fizz", and any number divisible by five with the word "buzz", and any number divisible by both three and five with the word "fizzbuzz".

5. Readers–writers problem - Wikipedia

   en.wikipedia.org/wiki/Readers–writers_problem

   Readers–writers problem. In computer science, the readers–writers problems are examples of a common computing problem in concurrency. [1] There are at least three variations of the problems, which deal with situations in which many concurrent threads of execution try to access the same shared resource at one time.

6. Dining philosophers problem - Wikipedia

   en.wikipedia.org/wiki/Dining_philosophers_problem

   Problem statement. Five philosophers dine together at the same table. Each philosopher has their own plate at the table. There is a fork between each plate. The dish served is a kind of spaghetti which has to be eaten with two forks. Each philosopher can only alternately think and eat. Moreover, a philosopher can only eat their spaghetti when ...

7. Greedy algorithm - Wikipedia

   en.wikipedia.org/wiki/Greedy_algorithm

   Greedy algorithms fail to produce the optimal solution for many other problems and may even produce the unique worst possible solution. One example is the travelling salesman problem mentioned above: for each number of cities, there is an assignment of distances between the cities for which the nearest-neighbour heuristic produces the unique ...

8. P versus NP problem - Wikipedia

   en.wikipedia.org/wiki/P_versus_NP_problem

   The P versus NP problem is a major unsolved problem in theoretical computer science. Informally, it asks whether every problem whose solution can be quickly verified can also be quickly solved. Here, quickly means an algorithm that solves the task and runs in polynomial time exists, meaning the task completion time is bounded above by a ...

9. Knapsack problem - Wikipedia

   en.wikipedia.org/wiki/Knapsack_problem

   Definition. The most common problem being solved is the 0-1 knapsack problem, which restricts the number of copies of each kind of item to zero or one. Given a set of items numbered from 1 up to , each with a weight and a value , along with a maximum weight capacity , subject to and . Here represents the number of instances of item to include ...