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subproblems

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  • Overlapping subproblems — In computer science, a problem is said to have overlapping subproblems if the problem can be broken down into subproblems which are reused several times or a recursive algorithm for the problem solves the same subproblem over and over rather than …   Wikipedia

  • Dynamic programming — For the programming paradigm, see Dynamic programming language. In mathematics and computer science, dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. It is applicable to problems… …   Wikipedia

  • Algorithm — Flow chart of an algorithm (Euclid s algorithm) for calculating the greatest common divisor (g.c.d.) of two numbers a and b in locations named A and B. The algorithm proceeds by successive subtractions in two loops: IF the test B ≤ A yields yes… …   Wikipedia

  • Divide and conquer algorithm — In computer science, divide and conquer (D C) is an important algorithm design paradigm based on multi branched recursion. A divide and conquer algorithm works by recursively breaking down a problem into two or more sub problems of the same (or… …   Wikipedia

  • Longest common subsequence problem — Not to be confused with longest common substring problem. The longest common subsequence (LCS) problem is to find the longest subsequence common to all sequences in a set of sequences (often just two). Note that subsequence is different from a… …   Wikipedia

  • Dantzig–Wolfe decomposition — is an algorithm for solving linear programming problems with special structure. It was originally developed by George Dantzig and Phil Wolfe and initially published in 1960[1]. Many texts on linear programming have sections dedicated to… …   Wikipedia

  • Parallel mesh generation — in numerical analysis is a new research area between the boundaries of two scientific computing disciplines: computational geometry and parallel computingNikos Chrisochoides, Parallel Mesh Generation, Chapter in Numerical Solution of Partial… …   Wikipedia

  • Optimal substructure — Figure 1. Finding the shortest path using optimal substructure. Numbers represent the length of the path; straight lines indicate single edges, wavy lines indicate shortest paths, i.e., there might be other vertices that are not shown here. In… …   Wikipedia

  • Overlapping subproblem — In computer science, a problem is said to have overlapping subproblems if the problem can be broken down into subproblems which are reused several times.For example, the problem of computing the Fibonacci sequence exhibits overlapping subproblems …   Wikipedia

  • Linear programming relaxation — In mathematics, the linear programming relaxation of a 0 1 integer program is the problem that arises by replacing the constraint that each variable must be 0 or 1 by a weaker constraint, that each variable belong to the interval [0,1] .That is,… …   Wikipedia

  • Kirkpatrick–Seidel algorithm — The Kirkpatrick–Seidel algorithm, called by its authors the ultimate planar convex hull algorithm is an algorithm for computing the convex hull of a set of points in the plane, with O( n log h ) time complexity, where n is the number of input… …   Wikipedia

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