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lower_bound: lower_bound: lower_bound: lower_bound: Returns an iterator to the first element with a key not less than the given value. upper_bound: upper_bound: upper_bound: upper_bound: Returns an iterator to the first element with a key greater than a certain value. Observers key_comp: key_comp: key_comp: key_comp: Returns the key comparison ...
[10] [11] vector<bool> does not meet the requirements for a C++ Standard Library container. For instance, a container<T>::reference must be a true lvalue of type T. This is not the case with vector<bool>::reference, which is a proxy class convertible to bool. [12] Similarly, the vector<bool>::iterator does not yield a bool& when dereferenced.
The lower bound on worst-case running time of output-sensitive convex hull algorithms was established to be Ω(n log h) in the planar case. [1] There are several algorithms which attain this optimal time complexity. The earliest one was introduced by Kirkpatrick and Seidel in 1986 (who called it "the ultimate convex hull algorithm").
The best known lower bound for matrix-multiplication complexity is Ω(n 2 log(n)), for bounded coefficient arithmetic circuits over the real or complex numbers, and is due to Ran Raz. [ 32 ] The exponent ω is defined to be a limit point , in that it is the infimum of the exponent over all matrix multiplication algorithms.
[lower bound:upper bound] ¢ for computers with extended character sets ¢ or: (LOWER BOUND..UPPER BOUND) # FOR COMPUTERS WITH ONLY 6 BIT CHARACTERS. # Both bounds are inclusive and can be omitted, in which case they default to the declared array bounds. Neither the stride facility, nor diagonal slice aliases are part of the revised report ...
An entropy coding attempts to approach this lower bound. Two of the most common entropy coding techniques are Huffman coding and arithmetic coding . [ 2 ] If the approximate entropy characteristics of a data stream are known in advance (especially for signal compression ), a simpler static code may be useful.
For the weighted removable setting, they give a 2-competitive algorithm, prove a lower bound of ~1.368 for randomized algorithms, and prove that no deterministic algorithm can have a constant competitive ratio. For the unweighted removable setting, they give an 10/7-competitive-ratio algorithm, and prove a lower bound of 1.25.
A VECTOR is a simplified array, with only one dimension and a lower bound fixed at 1. VECTOR [4] INT a; { similar to [1:4] INT a; } In any context where an array was required a VECTOR could be converted to an array.