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  2. Covering problems - Wikipedia

    en.wikipedia.org/wiki/Covering_problems

    A subset Q of J is called a rainbow set if it contains at most a single interval of each color. A set of intervals J is called a covering of P if each point in P is contained in at least one interval of Q. The Rainbow covering problem is the problem of finding a rainbow set Q that is a covering of P. The problem is NP-hard (by reduction from ...

  3. Exact cover - Wikipedia

    en.wikipedia.org/wiki/Exact_cover

    In the mathematical field of combinatorics, given a collection of subsets of a set, an exact cover is a subcollection of such that each element in is contained in exactly one subset in . One says that each element in X {\displaystyle X} is covered by exactly one subset in S ∗ {\displaystyle {\mathcal {S}}^{*}} . [ 1 ]

  4. Maximum coverage problem - Wikipedia

    en.wikipedia.org/wiki/Maximum_coverage_problem

    The greedy algorithm for maximum coverage chooses sets according to one rule: at each stage, choose a set which contains the largest number of uncovered elements. It can be shown that this algorithm achieves an approximation ratio of 1 − 1 e {\displaystyle 1-{\frac {1}{e}}} .

  5. Gcov - Wikipedia

    en.wikipedia.org/wiki/Gcov

    -l (--long-file-names): Create long file names for included source files. For example, if the header file x.h contains code, and was included in the file a.c, then running gcov on the file a.c will produce an output file called a.c##x.h.gcov instead of x.h.gcov. This can be useful if x.h is included in multiple source files and you want to see ...

  6. Set cover problem - Wikipedia

    en.wikipedia.org/wiki/Set_cover_problem

    Geometric set cover is a special case of Set Cover when the universe is a set of points in and the sets are induced by the intersection of the universe and geometric shapes (e.g., disks, rectangles). Set packing; Maximum coverage problem is to choose at most k sets to cover as many elements as possible.

  7. Zero-suppressed decision diagram - Wikipedia

    en.wikipedia.org/wiki/Zero-suppressed_decision...

    SAPPOROBDD: A C/C++ B/ZDD package written by Minato, the inventor of ZDD. Sapporo is the name of the city Hokkaido University is located. Graphillion, A Python-based graphset manipulation library based on SAPPOROBDD, developed and maintained by Minato's research group that is heavily focused on ZDD-based algorithms. The library consists of an ...

  8. Array slicing - Wikipedia

    en.wikipedia.org/wiki/Array_slicing

    In computer programming, array slicing is an operation that extracts a subset of elements from an array and packages them as another array, possibly in a different dimension from the original. Common examples of array slicing are extracting a substring from a string of characters, the " ell " in "h ell o", extracting a row or column from a two ...

  9. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Pythran compiles a subset of Python 3 to C++ . [165] RPython can be compiled to C, and is used to build the PyPy interpreter of Python. The Python → 11l → C++ transpiler [166] compiles a subset of Python 3 to C++ . Specialized: MyHDL is a Python-based hardware description language (HDL), that converts MyHDL code to Verilog or VHDL code.