Examples of using Linear combination in English and their translations into Hungarian
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Linear Combination of Vectors.
We call the linear combination.
Linear combinations of vectors.
Is called a linear combination of.
A linear combination of solutions is also a solution.
This is the linear combination.
A linear combination of them.
Symmetry Adapted Linear Combinations.
This linear combination is called.
Now every dyadic can be expressed as a linear combination of dyads.
As a linear combination of basis vectors.
In particular, you can express a sine as a linear combination of cosines, and vice-versa.
Linear combinations of Normal random variables are also Normally distributed.
The method is called linear combination of atomic orbitals ICAO method.
Are called linearlydependent if one of them can be expressed as a linear combination of the others.
In fact, generally any linear combination of the two solutions will also be a solution.
Vectors are linearly independent if none of them can be represented as a linear combination of the others.
These linear combinations are also known as Bessel functions of the third kind;
The Dirichlet L-functions may be written as a linear combination of the Hurwitz zeta-function at rational values.
If v is an integer then Anger functions Jv are the same as Bessel functions Jv,and Weber functions can be expressed as finite linear combinations of Struve functions.
There may exist at least one linear combination of the RERs that is stationary.
The most general form of Hooke's law for isotropicmaterials may now be written as a linear combination of these two tensors.
In general, a linear combination of two integers only gives a multiple of their greatest common divisor.
In linear algebra, a family of vectors islinearly independent if none of them can be written as a linear combination of finitely many other vectors in the collection.
The aim of PCA is to determine a few linear combinations of the original variables that can be used to summarize the data set without losing much information.[29].
The greatest common divisor g of two nonzero numbers a andb is also their smallest positive integral linear combination, that is, the smallest positive number of the form ua+ vb where u and v are integers.
Every quaternion is a real linear combination of the basis quaternions 1, i, j, and k, i.e. every quaternion is uniquely expressible in the form a+ bi+ cj+ dk where a, b, c, and d are real numbers.
The main purpose of the Principal Component Analysis(PCA) is to determine a few linear combinations of the original variables which can be used to summarize the data set without losing information[29].
Less formally, it is the number of linear combinations included in the sum of squares defining Qi, provided that these linear combinations are linearly independent.