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1Numerical computation of sensitivities and the adjoint approach

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“Numerical computation of sensitivities and the adjoint approach” Metadata:

  • Title: ➤  Numerical computation of sensitivities and the adjoint approach
  • Author:
  • Language: English
  • Publisher: ➤  Institute for Computer Applications in Science and Engineering, NASA Langley Research Center - National Technical Information Service, distributor
  • Publish Date:
  • Publish Location: Hampton, VA - Springfield, VA

“Numerical computation of sensitivities and the adjoint approach” Subjects and Themes:

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Access and General Info:

  • First Year Published: 1997
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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    Adjoint

    matrix, related to its inverse Adjoint equation The upper and lower adjoints of a Galois connection in order theory The adjoint of a differential operator

    Adjoint functors

    two right adjoints G and G′, then G and G′ are naturally isomorphic. The same is true for left adjoints. Conversely, if F is left adjoint to G, and G

    Hermitian adjoint

    {\displaystyle A} on an inner product space defines a Hermitian adjoint (or adjoint) operator A ∗ {\displaystyle A^{*}} on that space according to the

    Dirac adjoint

    {\displaystyle \psi ^{\dagger }\gamma ^{\mu }\psi } is not even Hermitian. Dirac adjoints, in contrast, transform according to ψ ¯ ↦ ( λ ψ ) † γ 0 . {\displaystyle

    Self-adjoint

    mathematics, an element of a *-algebra is called self-adjoint if it is the same as its adjoint (i.e. a = a ∗ {\displaystyle a=a^{*}} ). Let A {\displaystyle

    Self-adjoint operator

    In mathematics, a self-adjoint operator on a complex vector space V with inner product ⟨ ⋅ , ⋅ ⟩ {\displaystyle \langle \cdot ,\cdot \rangle } is a linear

    Adjoint representation

    In mathematics, the adjoint representation (or adjoint action) of a Lie group G is a way of representing the elements of the group as linear transformations

    Adjugate matrix

    classical adjoint of a square matrix A, adj(A), is the transpose of its cofactor matrix. It is occasionally known as adjunct matrix, or "adjoint", though

    Skew-Hermitian matrix

    thought of as skew-adjoint (since they are like 1 × 1 {\displaystyle 1\times 1} matrices), whereas real numbers correspond to self-adjoint operators. For

    Adjoint equation

    An adjoint equation is a linear differential equation, usually derived from its primal equation using integration by parts. Gradient values with respect