nullity vector - traducción al ruso
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nullity vector - traducción al ruso

THEOREM
Rank theorem; Rank nullity theorem; Rank-nullity theorem; Rank-nullity; Rank nullity
  • Rank–nullity theorem

nullity vector      

математика

вектор невязки

relative vector         
GEOMETRIC OBJECT THAT HAS MAGNITUDE (OR LENGTH) AND DIRECTION
Vector (classical mechanics); Three-vector; Vector sum; Vector addition; Spatial vector; Vector (physics); Vector subtraction; Relative vector; Spacial vector; Physical vector; Vector methods (physics); Vector component; Component (vector); Bound vector; Vector (spatial); Vector (geometry); Free vector; Vector (geometric); Triangle law; Euclidean vectors; Vector direction; Vector components; 3d vector; Euclid vector; 3D vector; Geometric vector; Magnitude of resultant vector; Euclidian vector; Vector quantity; Resultant vector; Antiparallel vectors

общая лексика

относительный вектор

в КГА - вектор, конечные точки которого заданы в относительных координатах

математика

вектор относительного положения

антоним

absolute vector

three-vector         
GEOMETRIC OBJECT THAT HAS MAGNITUDE (OR LENGTH) AND DIRECTION
Vector (classical mechanics); Three-vector; Vector sum; Vector addition; Spatial vector; Vector (physics); Vector subtraction; Relative vector; Spacial vector; Physical vector; Vector methods (physics); Vector component; Component (vector); Bound vector; Vector (spatial); Vector (geometry); Free vector; Vector (geometric); Triangle law; Euclidean vectors; Vector direction; Vector components; 3d vector; Euclid vector; 3D vector; Geometric vector; Magnitude of resultant vector; Euclidian vector; Vector quantity; Resultant vector; Antiparallel vectors

общая лексика

тривектор

Definición

free vector
¦ noun Mathematics a vector of which only the magnitude and direction are specified, not the position or line of action.

Wikipedia

Rank–nullity theorem

The rank–nullity theorem is a theorem in linear algebra, which asserts

  1. of a matrix M that its rank + its nullity = the number of columns, and
  2. of a linear transformation that the dimension of the domain is the sum of the transformation's rank (the dimension of its image) and its nullity (the dimension of its kernel).
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