Примери коришћења Linear combination на Енглеском и њихови преводи на Српски
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Linear combination of atomic orbitals.
Can be written as a linear combination.
Linear combinations of atomic orbitals.
Can be represented as a linear combination.
Nodes transmit random linear combinations of the packets they receive, with coefficients chosen from a Galois field.
Can be expressed as a linear combination of.
Write an as a linear combination of all the roots(counting multiplicity as shown in the theorem above) with unknown coefficients bi.
Can be expressed as a unique linear combination.
The vectors defining the hyperplanes can be chosen to be linear combinations with parameters α i{\displaystyle\alpha_{i}} of images of feature vectors x i{\displaystyle x_{i}} that occur in the data base.
And any 1-form can be written as a linear combination.
This superposition or linear combination is called the Fourier series.
Each element of V can be written as a linear combination.
(More technically, when does the actual quantum state stop being a non-trivial linear combination of states, each of which resembles different classical states, and instead begin to have a unique classical description?).
The Hodge conjecture is thatfor projective algebraic varieties, Hodge cycles are rational linear combinations of algebraic cycles.
Fourier's idea was to model a complicated heat source as a superposition(or linear combination) of simple sine and cosine waves, and to write the solution as a superposition of the corresponding eigensolutions.
A notation for a lottery is as follows: if options A and B have probability p and 1- p in the lottery,we write it as a linear combination.
Mu(A) can be expressed as a linear combination of.
Conversely, any square matrix with zero trace is a linear combinations of the commutators of pairs of matrices.[note 3] Moreover, any square matrix with zero trace is unitarily equivalent to a square matrix with diagonal consisting of all zeros.
It follows that w{\displaystyle\mathbf{w}} can be written as a linear combination of the support vectors.
For any set of independent continuous random variables, for any linear combination of those variables, its characteristic function(which uniquely determines the distribution) can be acquired by multiplying the corresponding characteristic functions.
Such a combination is called a closed chain andone defines integral along the chain as the linear combination of integrals over individual paths.
Is not expressable as a linear combination of vectors of V.
The palettes are generated from two values representing the start and end of a line andthe other six values being generated as linear combinations of the start and end values.
Then 1 is expressible as a linear combination of a and.
By making some reasonable assumptions about the way choices behave, von Neumann and Morgenstern showed that if an agent can choose between the lotteries, then this agent has a utility function which can be added and multiplied by real numbers,which means the utility of an arbitrary lottery can be calculated as a linear combination of the utility of its parts.
Instead of a single closed path we can consider a linear combination of closed path where the scalars are integers.
Form a large set of simple features Initialize weights for training images For T rounds Normalize the weights For available features from the set, train a classifier using a single feature and evaluate the training error Choose the classifier with the lowest error Update the weights of the training images:increase if classified wrongly by this classifier, decrease if correctly Form the final strong classifier as the linear combination of the T classifiers(coefficient larger if training error is small).
Any sequence satisfying the recurrence relation can be written uniquely as a linear combination of solutions constructed in part 1 as λ varies over all distinct roots of p(t).
By making some reasonable assumptions about the way choices behave, von Neumann and Morgenstern showed that if an agent can choose between the lotteries,then this agent has a utility function such that the desirability of an arbitrary lottery can be calculated as a linear combination of the utilities of its parts, with the weights being their probabilities of occurring.