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  2. File:Comprehensive LaTeX Symbol List.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Comprehensive_LaTeX...

    Deutsch: Dieses Dokument listet 20323 Symbole und die dazugehörigen LaTeX-Befehle auf. Manche Symbole sind in jedem LaTeX-2ε-System verfügbar; andere benötigen zusätzliche Schriftarten oder Pakete, die nicht notwendig in jeder Distribution mitgeliefert werden und daher selbst installiert werden müssen.

  3. Positive semidefinite - Wikipedia

    en.wikipedia.org/wiki/Positive_semidefinite

    Download as PDF; Printable version; In other projects ... move to sidebar hide. In mathematics, positive semidefinite may refer to: Positive semidefinite function ...

  4. Definite quadratic form - Wikipedia

    en.wikipedia.org/wiki/Definite_quadratic_form

    According to that sign, the quadratic form is called positive-definite or negative-definite. A semidefinite (or semi-definite) quadratic form is defined in much the same way, except that "always positive" and "always negative" are replaced by "never negative" and "never positive", respectively.

  5. Positive operator - Wikipedia

    en.wikipedia.org/wiki/Positive_operator

    In mathematics (specifically linear algebra, operator theory, and functional analysis) as well as physics, a linear operator acting on an inner product space is called positive-semidefinite (or non-negative) if, for every ⁡ (), , and , , where ⁡ is the domain of .

  6. Definite matrix - Wikipedia

    en.wikipedia.org/wiki/Definite_matrix

    In mathematics, a symmetric matrix with real entries is positive-definite if the real number is positive for every nonzero real column vector, where is the row vector transpose of . [1] More generally, a Hermitian matrix (that is, a complex matrix equal to its conjugate transpose) is positive-definite if the real number is positive for every nonzero complex column vector , where denotes the ...

  7. Copositive matrix - Wikipedia

    en.wikipedia.org/wiki/Copositive_matrix

    The class of copositive matrices can be characterized using principal submatrices. One such characterization is due to Wilfred Kaplan: [6]. A real symmetric matrix A is copositive if and only if every principal submatrix B of A has no eigenvector v > 0 with associated eigenvalue λ < 0.

  8. File:Example of Positive Semidefinite Matrices.webm

    en.wikipedia.org/wiki/File:Example_of_Positive...

    What links here; Upload file; Special pages; Printable version; Page information

  9. Gram matrix - Wikipedia

    en.wikipedia.org/wiki/Gram_matrix

    The Gram matrix is positive semidefinite, and every positive semidefinite matrix is the Gramian matrix for some set of vectors. The fact that the Gramian matrix is positive-semidefinite can be seen from the following simple derivation:

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