Examples of using Algorithm may in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
If necessary, this algorithm may run forever.
Only after the bin fills with more than V/ 2 orif an item with a size larger than V/ 2 arrives, the algorithm may open a new bin.
Logical: An algorithm may be viewed as controlled logical deduction.
For some forms of local consistency, this algorithm may also require exponential time.
In rare situations, our algorithm may select a URL from an external site that is hosting your content without your permission.
For the bounded problem,where the supply of each kind of item is limited, the algorithm may be far from optimal.
As a consequence, the algorithm may take several iterations to converge.
For example, if the human feedback was that"each shape has multiple variations", the algorithm may organize results as follows.
Computational experiments show that the algorithm may solve many instances of size up to n =1,400 in quite reasonable times.
The algorithm may converge slowly or not at all if the initial guess is far from the minimum or the matrix J r T J r{\displaystyle\mathbf{J_{r}^{\mathsf{T}}J_{r}}} is ill-conditioned.
Thus, by finding augmenting paths, an algorithm may increase the size of the matching.
For instance, the algorithm may start with a large triangle, then recursively zoom in by dividing it into four smaller Sierpinski triangles, then interpolate the height of each point from its nearest neighbors.
In many instances, however,the time taken by the algorithm may be even faster than this worst case analysis indicates.
Our algorithm may aid in the identification of the most difficult cases, where the clinical examination is inconclusive, since it could indicate how much an individual's brain function approximates that of a person with autism.
The term sub-exponential time is used to express that the running time of some algorithm may grow faster than any polynomial but is still significantly smaller than an exponential.
For example, a Turing machine describing an algorithm may have a few hundred states, while the equivalent deterministic finite automaton(DFA) on a given real machine has quadrillions.
For these sets,it is only required that there is an algorithm that correctly decides when a number is in the set; the algorithm may give no answer(but not the wrong answer) for numbers not in the set.
Besides, this new orientation,with the use of the algorithm, may reveal a more realistic role of HIV/aids in maternal deaths, interfering, also, in the distribution of indirect obstetric deaths in the total maternal deaths.
Thus, the increased transmission of acoustic information promoted by the algorithm may provide greater audibility and speech recognition to these subjects, especially in silence situations.
Its worst-case time complexity is:each step of the algorithm may be performed in time using a variant of radix sort to reorder the states so that states in the same set of the new partition are consecutive in the ordering, and there are at most steps since each one but the last increases the number of sets in the partition.
If no augmenting path can be found, an algorithm may safely terminate, since in this case M{\displaystyle M} must be optimal.
Its worst-case time complexity is O(n2s):each step of the algorithm may be performed in time O(ns) using a variant of radix sort to reorder the states so that states in the same set of the new partition are consecutive in the ordering, and there are at most n steps since each one but the last increases the number of sets in the partition.
But, to each algorithm, there may ormay not correspond a real number, as the algorithm may fail to satisfy the constraints, or even be non-terminating("T" is a partial function), so this fails to produce the required bijection.
In the case of patients without ZMC,this advantage observed with the use of the algorithm may be related to a number of limitations presented by conventional hearing aids, such as the restricted width in the possible frequency band to be amplified, limitations of gain and maximum output, in addition to risk of noise or report of discomfort.
Algorithms may be downloaded separately.
Different algorithms may complete the same task with a different set of instructions in less or more time, space, or'effort' than others.
But other algorithms may have much lower work factors, making resistance to a brute-force attack irrelevant.
The algorithm might return any number in that range with an error less than 0.2.
Consequently, the effectiveness of the algorithm chosen for these problems may deteriorate or other algorithms may become more suitable for the new data characteristics.
For example, if T(n) represents the running time of a newly developed algorithm for input size n,the inventors and users of the algorithm might be more inclined to put an upper asymptotic bound on how long it will take to run without making an explicit statement about the lower asymptotic bound.