v2007.09.13 - Convex Optimization
v2007.09.13 - Convex Optimization v2007.09.13 - Convex Optimization
670 APPENDIX F. MATLAB PROGRAMS
Appendix GNotation and a few definitionsbb ib i:jb k (i:j)b Tb HA −2TA T 1vector, scalar, logical condition (italic abcdefghijklmnopqrstuvwxyz)i th entry of vector b=[b i , i=1... n] or i th b vector from a set or list{b j , j =1... n} or i th iterate of vector bor b(i:j) , truncated vector comprising i th through j th entry of vector btruncated vector comprising i th through j th entry of vector b kvector transposeHermitian (conjugate) transposematrix transpose of squared inversefirst of various transpositions of a cubix or quartix AAskinnymatrix, scalar, or logical condition(italic ABCDEFGHIJKLMNOPQRSTUV WXY Z)⎡a skinny matrix; meaning, more rows than columns: ⎣⎤⎦. Whenthere are more equations than unknowns, we say that the system Ax = bis overdetermined. [109,5.3]fat a fat matrix; meaning, more columns than rows:[ ]underdetermined2001 Jon Dattorro. CO&EDG version 2007.09.13. All rights reserved.Citation: Jon Dattorro, Convex Optimization & Euclidean Distance Geometry,Meboo Publishing USA, 2005.671
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- Page 672 and 673: 672 APPENDIX G. NOTATION AND A FEW
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- Page 688 and 689: 688 BIBLIOGRAPHY[7] Abdo Y. Alfakih
- Page 690 and 691: 690 BIBLIOGRAPHY[27] Aharon Ben-Tal
- Page 692 and 693: 692 BIBLIOGRAPHY[48] Lev M. Brègma
- Page 694 and 695: 694 BIBLIOGRAPHY[67] Joel Dawson, S
- Page 696 and 697: 696 BIBLIOGRAPHY[85] Alan Edelman,
- Page 698 and 699: 698 BIBLIOGRAPHY[102] Philip E. Gil
- Page 700 and 701: 700 BIBLIOGRAPHYWeiss, editors, Pol
- Page 702 and 703: 702 BIBLIOGRAPHY[146] Jean-Baptiste
- Page 704 and 705: 704 BIBLIOGRAPHY[168] Jean B. Lasse
- Page 706 and 707: 706 BIBLIOGRAPHY[189] Rudolf Mathar
- Page 708 and 709: 708 BIBLIOGRAPHY[211] M. L. Overton
- Page 710 and 711: 710 BIBLIOGRAPHY[229] C. K. Rushfor
- Page 712 and 713: 712 BIBLIOGRAPHY[252] Jos F. Sturm
- Page 714 and 715: 714 BIBLIOGRAPHY[274] È. B. Vinber
- Page 716 and 717: [294] Yinyu Ye. Semidefinite progra
- Page 718 and 719: 718 INDEXobtuse, 62positive semidef
Appendix GNotation and a few definitionsbb ib i:jb k (i:j)b Tb HA −2TA T 1vector, scalar, logical condition (italic abcdefghijklmnopqrstuvwxyz)i th entry of vector b=[b i , i=1... n] or i th b vector from a set or list{b j , j =1... n} or i th iterate of vector bor b(i:j) , truncated vector comprising i th through j th entry of vector btruncated vector comprising i th through j th entry of vector b kvector transposeHermitian (conjugate) transposematrix transpose of squared inversefirst of various transpositions of a cubix or quartix AAskinnymatrix, scalar, or logical condition(italic ABCDEFGHIJKLMNOPQRSTUV WXY Z)⎡a skinny matrix; meaning, more rows than columns: ⎣⎤⎦. Whenthere are more equations than unknowns, we say that the system Ax = bis overdetermined. [109,5.3]fat a fat matrix; meaning, more columns than rows:[ ]underdetermined2001 Jon Dattorro. CO&EDG version 2007.09.13. All rights reserved.Citation: Jon Dattorro, <strong>Convex</strong> <strong>Optimization</strong> & Euclidean Distance Geometry,Meboo Publishing USA, 2005.671