v2009.01.01 - Convex Optimization

v2009.01.01 - Convex Optimization v2009.01.01 - Convex Optimization

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732 BIBLIOGRAPHY [147] Peter Gritzmann and Victor Klee. On the complexity of some basic problems in computational convexity: II. volume and mixed volumes. Technical Report TR:94-31, DIMACS, Rutgers University, 1994. ftp://dimacs.rutgers.edu/pub/dimacs/TechnicalReports/TechReports/1994/94-31.ps [148] Peter Gritzmann and Victor Klee. On the complexity of some basic problems in computational convexity: II. volume and mixed volumes. In T. Bisztriczky, P. McMullen, R. Schneider, and A. Ivić Weiss, editors, Polytopes: Abstract, Convex and Computational, pages 373–466. Kluwer Academic Publishers, 1994. [149] L. G. Gubin, B. T. Polyak, and E. V. Raik. The method of projections for finding the common point of convex sets. U.S.S.R. Computational Mathematics and Mathematical Physics, 7(6):1–24, 1967. [150] Osman Güler and Yinyu Ye. Convergence behavior of interior-point algorithms. Mathematical Programming, 60(2):215–228, 1993. [151] P. R. Halmos. Positive approximants of operators. Indiana University Mathematics Journal, 21:951–960, 1972. [152] Shih-Ping Han. A successive projection method. Mathematical Programming, 40:1–14, 1988. [153] Godfrey H. Hardy, John E. Littlewood, and George Pólya. Inequalities. Cambridge University Press, second edition, 1952. [154] Arash Hassibi and Mar Hershenson. Automated optimal design of switched-capacitor filters. Design Automation and Test in Europe Conference, 2001. [155] Johan Håstad. Some optimal inapproximability results. In Proceedings of the Twenty-Ninth Annual ACM Symposium on Theory of Computing (STOC), pages 1–10, El Paso Texas USA, 1997. Association for Computing Machinery (ACM). http://citeseer.ist.psu.edu/280448.html , 1999. [156] Johan Håstad. Some optimal inapproximability results. Journal of the Association for Computing Machinery, 48(4):798–859, July 2001. [157] Timothy F. Havel and Kurt Wüthrich. An evaluation of the combined use of nuclear magnetic resonance and distance geometry for the determination of protein conformations in solution. Journal of Molecular Biology, 182:281–294, 1985. [158] Tom L. Hayden and Jim Wells. Approximation by matrices positive semidefinite on a subspace. Linear Algebra and its Applications, 109:115–130, 1988. [159] Tom L. Hayden, Jim Wells, Wei-Min Liu, and Pablo Tarazaga. The cone of distance matrices. Linear Algebra and its Applications, 144:153–169, 1991. [160] Uwe Helmke and John B. Moore. Optimization and Dynamical Systems. Springer-Verlag, 1994. [161] Bruce Hendrickson. Conditions for unique graph realizations. SIAM Journal on Computing, 21(1):65–84, February 1992.

BIBLIOGRAPHY 733 [162] T. Herrmann, Peter Güntert, and Kurt Wüthrich. Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA. Journal of Molecular Biology, 319(1):209–227, May 2002. [163] Mar Hershenson. Design of pipeline analog-to-digital converters via geometric programming. International Conference on Computer Aided Design - ICCAD, 2002. [164] Mar Hershenson. Efficient description of the design space of analog circuits. 40 th Design Automation Conference, 2003. [165] Mar Hershenson, Stephen Boyd, and Thomas Lee. Optimal design of a CMOS OpAmp via geometric programming. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2001. [166] Mar Hershenson, Dave Colleran, Arash Hassibi, and Navraj Nandra. Synthesizable full custom mixed-signal IP. Electronics Design Automation Consortium - EDA, 2002. [167] Mar Hershenson, Sunderarajan S. Mohan, Stephen Boyd, and Thomas Lee. Optimization of inductor circuits via geometric programming, 1999. [168] Mar Hershenson and Xiling Shen. A new analog design flow. Cadence, 2002. [169] Nick Higham. Matrix Procrustes problems, 1995. http://www.ma.man.ac.uk/∼higham/talks Lecture notes. [170] Richard D. Hill and Steven R. Waters. On the cone of positive semidefinite matrices. Linear Algebra and its Applications, 90:81–88, 1987. [171] Jean-Baptiste Hiriart-Urruty. Ensembles de Tchebychev vs. ensembles convexes: l’état de la situation vu via l’analyse convexe non lisse. Annales des Sciences Mathématiques du Québec, 22(1):47–62, 1998. [172] Jean-Baptiste Hiriart-Urruty and Claude Lemaréchal. Convex Analysis and Minimization Algorithms II: Advanced Theory and Bundle Methods. Springer-Verlag, second edition, 1996. [173] Jean-Baptiste Hiriart-Urruty and Claude Lemaréchal. Fundamentals of Convex Analysis. Springer-Verlag, 2001. [174] Alan J. Hoffman and Helmut W. Wielandt. The variation of the spectrum of a normal matrix. Duke Mathematical Journal, 20:37–40, 1953. [175] Alfred Horn. Doubly stochastic matrices and the diagonal of a rotation matrix. American Journal of Mathematics, 76(3):620–630, July 1954. http://www.convexoptimization.com/TOOLS/AHorn.pdf [176] Roger A. Horn and Charles R. Johnson. Matrix Analysis. Cambridge University Press, 1987. [177] Roger A. Horn and Charles R. Johnson. Topics in Matrix Analysis. Cambridge University Press, 1994.

BIBLIOGRAPHY 733<br />

[162] T. Herrmann, Peter Güntert, and Kurt Wüthrich. Protein NMR structure<br />

determination with automated NOE assignment using the new software CANDID<br />

and the torsion angle dynamics algorithm DYANA. Journal of Molecular Biology,<br />

319(1):209–227, May 2002.<br />

[163] Mar Hershenson. Design of pipeline analog-to-digital converters via geometric<br />

programming. International Conference on Computer Aided Design - ICCAD, 2002.<br />

[164] Mar Hershenson. Efficient description of the design space of analog circuits. 40 th<br />

Design Automation Conference, 2003.<br />

[165] Mar Hershenson, Stephen Boyd, and Thomas Lee. Optimal design of a CMOS<br />

OpAmp via geometric programming. IEEE Transactions on Computer-Aided Design<br />

of Integrated Circuits and Systems, 2001.<br />

[166] Mar Hershenson, Dave Colleran, Arash Hassibi, and Navraj Nandra. Synthesizable<br />

full custom mixed-signal IP. Electronics Design Automation Consortium - EDA,<br />

2002.<br />

[167] Mar Hershenson, Sunderarajan S. Mohan, Stephen Boyd, and Thomas Lee.<br />

<strong>Optimization</strong> of inductor circuits via geometric programming, 1999.<br />

[168] Mar Hershenson and Xiling Shen. A new analog design flow. Cadence, 2002.<br />

[169] Nick Higham. Matrix Procrustes problems, 1995.<br />

http://www.ma.man.ac.uk/∼higham/talks<br />

Lecture notes.<br />

[170] Richard D. Hill and Steven R. Waters. On the cone of positive semidefinite matrices.<br />

Linear Algebra and its Applications, 90:81–88, 1987.<br />

[171] Jean-Baptiste Hiriart-Urruty. Ensembles de Tchebychev vs. ensembles convexes:<br />

l’état de la situation vu via l’analyse convexe non lisse. Annales des Sciences<br />

Mathématiques du Québec, 22(1):47–62, 1998.<br />

[172] Jean-Baptiste Hiriart-Urruty and Claude Lemaréchal. <strong>Convex</strong> Analysis<br />

and Minimization Algorithms II: Advanced Theory and Bundle Methods.<br />

Springer-Verlag, second edition, 1996.<br />

[173] Jean-Baptiste Hiriart-Urruty and Claude Lemaréchal. Fundamentals of <strong>Convex</strong><br />

Analysis. Springer-Verlag, 2001.<br />

[174] Alan J. Hoffman and Helmut W. Wielandt. The variation of the spectrum of a<br />

normal matrix. Duke Mathematical Journal, 20:37–40, 1953.<br />

[175] Alfred Horn. Doubly stochastic matrices and the diagonal of a rotation matrix.<br />

American Journal of Mathematics, 76(3):620–630, July 1954.<br />

http://www.convexoptimization.com/TOOLS/AHorn.pdf<br />

[176] Roger A. Horn and Charles R. Johnson. Matrix Analysis. Cambridge University<br />

Press, 1987.<br />

[177] Roger A. Horn and Charles R. Johnson. Topics in Matrix Analysis. Cambridge<br />

University Press, 1994.

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