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NOUN | a zero vector | zero vectors |

мат. нулевой вектор {м} | zero vector | ||

нуль {м} | zero | ||

мат. вектор {м} | vector | ||

мат. нульмерный {adj} | zero-dimensional | ||

unverified экол. полное отсутствие {с} выбросов | net zero emissions {pl} |

- zero vector
- нулевой вектор
`{м}`мат. - zero
- нуль
`{м}` - Advertisement
- vector
- вектор
`{м}`мат. - zero-dimensional
- нульмерный
`{adj}`мат. - net zero emissions
`{pl}` - unverified полное отсутствие
`{с}`выбросовэкол.

Usage Examples English

- That is, it is not possible to obtain a non-
**zero vector**in the same direction as the original. - If an orthonormal basis is to be produced, then the algorithm should test for zero vectors in the output and discard them because no multiple of a
**zero vector**can have a length of 1. - ... the vector field is equal to the
**zero vector**at the point "p"), then the particle will remain at "p". - Hamilton also called vector quaternions right quaternions and real numbers (considered as quaternions with
**zero vector**part) scalar quaternions. - Since a linear map preserves zero vectors, the
**zero vector**0"V" of "V" must belong to the kernel. The transformation "T" is injective if and only if its kernel is reduced to the zero subspace.

- Comparing this with the latter equation gives V1•V2 = 0, so they are perpendicular unless V1 is the
**zero vector**(which occurs if and only if the collision is head-on). - contains only the
**zero vector**. If [...] is a function with finite domain it is sufficient to look through the list of images of each domain element and check that no image occurs twice on the list. - This may be seen by writing the
**zero vector**0"V" as [...] (and similarly for 0"W") and moving the scalar 0 "outside", in front of "B", by linearity. - The annihilator of the
**zero vector**is the whole dual space: [...] , and the annihilator of the whole space is just the zero covector: [...]. - of vectors is linearly independent if the only way to express the
**zero vector**as a linear combination of elements of [...] is to take zero for every coefficient [...].

- In the following definitions, [...] is the transpose of [...] , [...] is the conjugate transpose of [...] and [...] denotes the "n"-dimensional
**zero**-**vector**.

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