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2. Knuth's Algorithm X - Wikipedia

   en.wikipedia.org/wiki/Knuth's_Algorithm_X

   1. Algorithm X with Knuth's suggested heuristic for selecting columns solves this problem as follows: Level 0. Step 1—The matrix is not empty, so the algorithm proceeds. Step 2—The lowest number of 1s in any column is two. Column 1 is the first column with two 1s and thus is selected (deterministically): 1. 2.

3. Covering problems - Wikipedia

   en.wikipedia.org/wiki/Covering_problems

   Covering problems. In combinatorics and computer science, covering problems are computational problems that ask whether a certain combinatorial structure 'covers' another, or how large the structure has to be to do that. Covering problems are minimization problems and usually integer linear programs, whose dual problems are called packing ...

4. Exact cover - Wikipedia

   en.wikipedia.org/wiki/Exact_cover

   Solving Sudoku is an exact cover problem. More precisely, solving Sudoku is an exact hitting set problem, which is equivalent to an exact cover problem, when viewed as a problem to select possibilities such that each constraint set contains (i.e., is hit by) exactly one selected possibility.

5. Set cover problem - Wikipedia

   en.wikipedia.org/wiki/Set_cover_problem

   The set cover problem is a classical question in combinatorics, computer science, operations research, and complexity theory. Given a set of elements {1, 2, …, n} (called the universe) and a collection S of m subsets whose union equals the universe, the set cover problem is to identify the smallest sub-collection of S whose union equals the ...

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   www.aol.com/products/tech-support/assist

   Friendly and knowledgeable tech support over the phone. Let Assist by AOL help with virus removal, slow computers and more. Get tech help now. Or call 1-855-845-8225.

7. Maximum coverage problem - Wikipedia

   en.wikipedia.org/wiki/Maximum_coverage_problem

   The maximum coverage problem is a classical question in computer science, computational complexity theory, and operations research . It is a problem that is widely taught in approximation algorithms . As input you are given several sets and a number . The sets may have some elements in common. You must select at most of these sets such that the ...