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Word problem for linear bounded automata [25] Word problem for quasi-realtime automata [26] Emptiness problem for a nondeterministic two-way finite state automaton [27] [28] Equivalence problem for nondeterministic finite automata [29] [30] Word problem and emptiness problem for non-erasing stack automata [31]
Otherwise choose a column c (deterministically). Choose a row r such that A r, c = 1 (nondeterministically). Include row r in the partial solution. For each column j such that A r, j = 1, for each row i such that A i, j = 1, delete row i from matrix A. delete column j from matrix A. Repeat this algorithm recursively on the reduced matrix A.
The GNU C Library, commonly known as glibc, is the GNU Project implementation of the C standard library. It provides a wrapper around the system calls of the Linux kernel and other kernels for application use. Despite its name, it now also directly supports C++ (and, indirectly, other programming languages).
This is an accepted version of this page This is the latest accepted revision, reviewed on 17 January 2025. General-purpose programming language "C programming language" redirects here. For the book, see The C Programming Language. Not to be confused with C++ or C#. C Logotype used on the cover of the first edition of The C Programming Language Paradigm Multi-paradigm: imperative (procedural ...
The cigarette smokers problem is a concurrency problem in computer science, originally described in 1971 by Suhas Patil. The problem has been criticized for having "restrictions which cannot be justified by practical considerations."
The algorithm's given problem can be a “family of problems”. [10] There are two main types of these skeletons, ‘divide and conquer’ or ‘brand and bound’. ‘Divide and conquer’ uses a map skeleton as its basis, combining this with a while skeleton to solve the problem. In map algorithms, functions on data are applied simultaneously.
It is known that they lie outside of the class NC, a class of problems with highly efficient parallel algorithms, because problems in NC can be solved in an amount of space polynomial in the logarithm of the input size, and the class of problems solvable in such a small amount of space is strictly contained in PSPACE by the space hierarchy theorem.
The nurse scheduling problem where a solution is an assignment of nurses to shifts which satisfies all established constraints; The k-medoid clustering problem and other related facility location problems for which local search offers the best known approximation ratios from a worst-case perspective