Examples of using Algorithm may in English and their translations into Serbian
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Colloquial
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Ecclesiastic
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Computer
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Cyrillic
The short-circuited algorithm may be implemented as.
The algorithm may give no answer(but not the wrong answer) for numbers not in the set.
Implementations of the algorithm may be expressed in pseudocode.
Usually asymptoticestimates are used because different implementations of the same algorithm may differ in efficiency.
And yes, Supervised Learning algorithm may break these data into these two separate clusters.
So given a data set like this, what the learning algorithm might do is throw the straight line through the data to try to separate out the malignant tumors from the benign ones and, so the learning algorithm may decide to throw the straight line like that to separate out the two classes of tumors.
This algorithm may be based on one or more of many different factors, including cycle counts, cache misses, and fairness.
In C, the standard recursive algorithm may be implemented as.
A naive minimax algorithm may be trivially modified to additionally return an entire Principal Variation along with a minimax score.
In computations with rounded arithmetic, e.g. with floating-point numbers,a divide-and-conquer algorithm may yield more accurate results than a superficially equivalent iterative method.
In such instances, an algorithm may have knowledge of certain portions of the transmitter path and may work efficiently.
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.
The performance of the naive minimax algorithm may be improved dramatically, without affecting the result, by the use of alpha-beta pruning.
More complex algorithms and data structures perform well with many items, while simple algorithms are more suitable for small amounts of data- the setup, initialization time, and constant factors of the more complex algorithm can outweigh the benefit, andthus a hybrid algorithm or adaptive algorithm may be faster than any single algorithm. .
With floating-point numbers,a divide-and-conquer algorithm may yield more accurate results than a superficially equivalent iterative method.
The Bellman-Ford algorithm may be improved in practice(although not in the worst case) by the observation that, if an iteration of the main loop of the algorithm terminates without making any changes, the algorithm can be immediately terminated, as subsequent iterations will not make any more changes.
Rather than just being a single Boolean value, the output of a planarity testing algorithm may be a planar graph embedding, if the graph is planar, or an obstacle to planarity such as a Kuratowski subgraph if it is not.
For example, a Turing machine describing an algorithm may have a few hundred states, while the equivalent DFA on a given real machine has quadrillions.
For multimodal distributions,this means that an EM algorithm may converge to a local maximum of the observed data likelihood function, depending on starting values.
Beyond asymptotic order of growth, the constant factors matter:an asymptotically slower algorithm may be faster or smaller(because simpler) than an asymptotically faster algorithm when they are both faced with small input, which may be the case that occurs in reality.
The algorithms may narrow down what type of item a customer is looking for, but the final say of each item comes from a human to offer a personalized touch.
For example, the algorithms might identify and tag scenes, color, best crop coordinates, text, actions, objects, or public figures.
The algorithms may be supervised or unsupervised and applications include pattern analysis(unsupervised) and classification(supervised). are based on the(unsupervised) learning of multiple levels of features or representations of the data.
Through research at NASA Ames,we hope to demonstrate that quantum computing and quantum algorithms may someday dramatically improve our ability to solve difficult optimization problems for missions in aeronautics, Earth and space sciences, and space exploration,” said Eugene Tu, Center Director at NASA's Ames Research Center.
But computer-based algorithms may not provide the most reliable information.
An example of a systolic algorithm might be matrix multiplication.