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  2. Sabato triangle - Wikipedia

    en.wikipedia.org/wiki/Sabato_triangle

    The idea of the triangle was proposed by John Kenneth Galbraith and developed by Sábato as a model of policy-making in science and technology. [1]: 302–303 The model is based on the concept that in order for a scientific-technological system to exist in practice it is necessary for three sectors to be strongly linked together over the long term: the State (which formulates and implements ...

  3. Hardy–Ramanujan–Littlewood circle method - Wikipedia

    en.wikipedia.org/wiki/Hardy–Ramanujan...

    The initial idea is usually attributed to the work of Hardy with Srinivasa Ramanujan a few years earlier, in 1916 and 1917, on the asymptotics of the partition function.It was taken up by many other researchers, including Harold Davenport and I. M. Vinogradov, who modified the formulation slightly (moving from complex analysis to exponential sums), without changing the broad lines.

  4. Triple product - Wikipedia

    en.wikipedia.org/wiki/Triple_product

    The vector triple product is defined as the cross product of one vector with the cross product of the other two. The following relationship holds: The following relationship holds: a × ( b × c ) = ( a ⋅ c ) b − ( a ⋅ b ) c {\displaystyle \mathbf {a} \times (\mathbf {b} \times \mathbf {c} )=(\mathbf {a} \cdot \mathbf {c} )\mathbf {b ...

  5. Vector calculus - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus

    Vector calculus or vector analysis is a branch of mathematics concerned with the differentiation and integration of vector fields, primarily in three-dimensional Euclidean space, . [1] The term vector calculus is sometimes used as a synonym for the broader subject of multivariable calculus, which spans vector calculus as well as partial differentiation and multiple integration.

  6. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    The soft-margin support vector machine described above is an example of an empirical risk minimization (ERM) algorithm for the hinge loss. Seen this way, support vector machines belong to a natural class of algorithms for statistical inference, and many of its unique features are due to the behavior of the hinge loss.

  7. Gradient - Wikipedia

    en.wikipedia.org/wiki/Gradient

    For any smooth function f on a Riemannian manifold (M, g), the gradient of f is the vector field ∇f such that for any vector field X, (,) =, that is, ((),) = (), where g x ( , ) denotes the inner product of tangent vectors at x defined by the metric g and ∂ X f is the function that takes any point x ∈ M to the directional derivative of f ...

  8. Paravector - Wikipedia

    en.wikipedia.org/wiki/Paravector

    The dimension of the vector space is evidently equal to n and a simple combinatorial analysis shows that the dimension of the bivector space is (). In general, the dimension of the multivector space of grade m is ( n m ) {\displaystyle {\begin{pmatrix}n\\m\end{pmatrix}}} and the dimension of the whole Clifford algebra C ℓ ( n ) {\displaystyle ...

  9. Lorentz transformation - Wikipedia

    en.wikipedia.org/wiki/Lorentz_transformation

    Linking terminology used in mathematics and physics: A group generator is any element of the Lie algebra. A group parameter is a component of a coordinate vector representing an arbitrary element of the Lie algebra with respect to some basis. A basis, then, is a set of generators being a basis of the Lie algebra in the usual vector space sense.