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  2. Scalar multiplication - Wikipedia

    en.wikipedia.org/wiki/Scalar_multiplication

    Scalar multiplication of a vector by a factor of 3 stretches the vector out. The scalar multiplications −a and 2a of a vector a. In mathematics, scalar multiplication is one of the basic operations defining a vector space in linear algebra [1] [2] [3] (or more generally, a module in abstract algebra [4] [5]).

  3. Dot product - Wikipedia

    en.wikipedia.org/wiki/Dot_product

    In modern geometry, Euclidean spaces are often defined by using vector spaces. In this case, the dot product is used for defining lengths (the length of a vector is the square root of the dot product of the vector by itself) and angles (the cosine of the angle between two vectors is the quotient of their dot product by the product of their ...

  4. Scalar (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Scalar_(mathematics)

    A scalar is an element of a field which is used to define a vector space.In linear algebra, real numbers or generally elements of a field are called scalars and relate to vectors in an associated vector space through the operation of scalar multiplication (defined in the vector space), in which a vector can be multiplied by a scalar in the defined way to produce another vector.

  5. Vectorial Mechanics - Wikipedia

    en.wikipedia.org/wiki/Vectorial_Mechanics

    Vectorial Mechanics (1948) is a book on vector manipulation (i.e., vector methods) by Edward Arthur Milne, a highly decorated (e.g., James Scott Prize Lectureship) ...

  6. Matrix multiplication - Wikipedia

    en.wikipedia.org/wiki/Matrix_multiplication

    A coordinate vector is commonly organized as a column matrix (also called a column vector), which is a matrix with only one column. So, a column vector represents both a coordinate vector, and a vector of the original vector space. A linear map A from a vector space of dimension n into a vector space of dimension m maps a column vector

  7. Linear form - Wikipedia

    en.wikipedia.org/wiki/Linear_form

    The above defined vector v ∗ ∈ V ∗ is said to be the dual vector of . In an infinite dimensional Hilbert space , analogous results hold by the Riesz representation theorem . There is a mapping V ↦ V ∗ from V into its continuous dual space V ∗ .

  8. Mathematical descriptions of the electromagnetic field

    en.wikipedia.org/wiki/Mathematical_descriptions...

    The members of the algebra may be decomposed by grade (as in the formalism of differential forms) and the (geometric) product of a vector with a k-vector decomposes into a (k − 1)-vector and a (k + 1)-vector. The (k − 1)-vector component can be identified with the inner product and the (k + 1)-vector component with the outer product. It is ...

  9. Viral vector - Wikipedia

    en.wikipedia.org/wiki/Viral_vector

    Viral vector manufacturing methods often vary by vector, although most utilize an adherent or suspension-based system with mammalian cells. [72] For viral vector production on a smaller, laboratory setting, static cell culture systems like Petri dishes are typically used.