Search results
Results From The WOW.Com Content Network
Parsons problems are a form of an objective assessment in which respondents are asked to choose from a selection of code fragments, some subset of which comprise the problem solution. The Parsons problem format is used in the learning and teaching of computer programming .
An early example of answer set programming was the planning method proposed in 1997 by Dimopoulos, Nebel and Köhler. [3] [4] Their approach is based on the relationship between plans and stable models. [5] In 1998 Soininen and Niemelä [6] applied what is now known as answer set programming to the problem of product configuration. [4]
The subset sum problem (SSP) is a decision problem in computer science. In its most general formulation, there is a multiset S {\displaystyle S} of integers and a target-sum T {\displaystyle T} , and the question is to decide whether any subset of the integers sum to precisely T {\displaystyle T} . [ 1 ]
Goal-directed programming languages such as Icon, Planner and Prolog, which use backtracking internally to generate answers. The DPLL algorithm for solving the Boolean satisfiability problem. The following is an example where backtracking is used for the constraint satisfaction problem:
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. [1] [2] Recursion solves such recursive problems by using functions that call themselves from within their own code. The approach can be applied to many types of problems, and recursion ...
In a search problem, the answers can be arbitrary strings. For example, factoring is a search problem where the instances are (string representations of) positive integers and the solutions are (string representations of) collections of primes. A search problem is represented as a relation consisting of all the instance-solution pairs, called a ...
Minion, an open-source constraint solver written in C++, with a small language for the purpose of specifying models/problems. ZDC, an open source program developed in the Computer-Aided Constraint Satisfaction Project for modelling and solving constraint satisfaction problems.
In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem.On input a formula over Boolean variables, such as "(x or y) and (x or not y)", a SAT solver outputs whether the formula is satisfiable, meaning that there are possible values of x and y which make the formula true, or unsatisfiable, meaning that there are no such ...