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Source: The Open Library
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1Numerical computation of sensitivities and the adjoint approach
By Robert Michael Lewis
“Numerical computation of sensitivities and the adjoint approach” Metadata:
- Title: ➤ Numerical computation of sensitivities and the adjoint approach
- Author: Robert Michael Lewis
- Language: English
- Publisher: ➤ Institute for Computer Applications in Science and Engineering, NASA Langley Research Center - National Technical Information Service, distributor
- Publish Date: 1997
- Publish Location: Hampton, VA - Springfield, VA
“Numerical computation of sensitivities and the adjoint approach” Subjects and Themes:
- Subjects: Adjoints - Numerical analysis - Boundary value problems - Sensitivity
Edition Identifiers:
- The Open Library ID: OL15547167M
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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Wiki
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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