13.07.2015 Views

v2006.03.09 - Convex Optimization

v2006.03.09 - Convex Optimization

v2006.03.09 - Convex Optimization

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

613GDDD T (X)D(X) TD −1 (X)D(X) −1D ⋆D ∗Gram matrix X T Xsymmetric hollow matrix of distance-square, or Euclidean distancematrix, or EDM candidateEuclidean distance matrix operatoradjoint operatortranspose of D(X)inverse operatorinverse of D(X)optimal value of variable Ddual to variable DD ◦ polar variable D∂ partial derivative or matrix of distance-square squared or, as in ∂K ,boundary of set K∂ypartial differential of yV geometric centering operator, V(D)= −V DV 1 2V NrnNdomonontoV N (D)= −V T N DV Naffine dimensiondimension of list X , or integercardinality of list X , or integerfunction domainfunction f(x) on A means A is domf , or projection of x on Ameans A is Euclidean body on which projection of x is madefunction f(x) maps onto M means f over its domain is a surjectionwith respect to M

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!