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List of unsolved problems in computer sciencethis article is a list of notable unsolved problems in computer science [14] backtracking is a recursive algorithm A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.

Parsons' programming puzzles became known as parsons puzzles[2] and then parsons problems These techniques are also often combined, as in the vlns method, and current research involves other technologies such as linear programming [3] parsons problems have become popular as they are easier to grade than written code while capturing the students' problem solving ability shown in a code creation process.

Project euler (named after leonhard euler) is a website dedicated to a series of computational problems intended to be solved with computer programs

[1][2] the project attracts graduates and students interested in mathematics and computer programming. Quadratic programming (qp) is the process of solving certain mathematical optimization problems involving quadratic functions Specifically, one seeks to optimize (minimize or maximize) a multivariate quadratic function subject to linear constraints on the variables. Nonlinear programming in mathematics, nonlinear programming (nlp) is the process of solving an optimization problem where some of the constraints are not linear equalities or the objective function is not a linear function.

The graph illustrates the simplex algorithm solving a linear programming problem with two variables In mathematical optimization, dantzig 's simplex algorithm (or simplex method) is an algorithm for linear programming [1] the name of the algorithm is derived from the concept of a simplex and was suggested by t [2] simplices are not actually used in the method, but one.

Tree fractal created using the logo programming language and relying heavily on recursion

Each branch can be seen as a smaller version of a tree Recursive drawing of a sierpiński triangle through turtle graphics in computer science, recursion is a method of solving a computational problem where the solution depends on solutions to smaller instances of the same problem Exercise in algorithm design finding all solutions to the eight queens puzzle is a good example of a simple but nontrivial problem For this reason, it is often used as an example problem for various programming techniques, including nontraditional approaches such as constraint programming, logic programming or genetic algorithms.

[59] many other paradigms are supported via extensions, including design by contract [60][61] and logic programming Constraint satisfaction problems on finite domains are typically solved using a form of search The most used techniques are variants of backtracking, constraint propagation, and local search

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