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v2009.01.01 - Convex Optimization

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706 APPENDIX F. NOTATION AND A FEW DEFINITIONS<br />

A<br />

F(C ∋A)<br />

G(K)<br />

A −1<br />

A †<br />

√<br />

some set (calligraphic ABCDEFGHIJ KLMN OPQRST UVWX YZ)<br />

smallest face (151) that contains element A of set C<br />

generators (2.8.1.2) of set K ; any collection of points and directions<br />

whose hull constructs K<br />

inverse of matrix A<br />

Moore-Penrose pseudoinverse of matrix A<br />

positive square root<br />

A 1/2 and √ A A 1/2 is any matrix √ such that A 1/2 A 1/2 =A .<br />

For A ∈ S n + , A ∈ S<br />

n<br />

+ is unique and √ A √ A =A . [48,1.2] (A.5.2.1)<br />

◦√<br />

D<br />

E<br />

∆ = [ √ d ij ] . (1252) Hadamard positive square root: D = ◦√ D ◦ ◦√ D<br />

elementary matrix<br />

E ij member of standard orthonormal basis for symmetric (52) or symmetric<br />

hollow (67) matrices<br />

1 2 3<br />

⎡ ⎤<br />

· · ·<br />

1<br />

A ij or A(i, j) , ij th entry of matrix A = ⎣ · · · ⎦ 2<br />

· · ·<br />

3<br />

or rank-one matrix a i a T j (4.7)<br />

A i<br />

A(i, :)<br />

A(:, j)<br />

A i:j,k:l<br />

A(ij)<br />

e.g.<br />

no.<br />

i th matrix from a set or i th principal submatrix or i th iterate of A<br />

i th row of matrix A<br />

j th column of matrix A [134,1.1.8]<br />

or A(i:j, k:l) , submatrix taken from i th through j th row and<br />

k th through l th column<br />

A is a function of i and j<br />

exempli gratia, from the Latin meaning for sake of example<br />

number, from the Latin numero

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