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Y. Nesterov and A. Nemirovskii, Interior-point polynomial methods in convex programming, SIAM, Philadelphia, 1994.

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The Nesterov-Todd Direction and its Relation to Weighted Analytic .. - Hauser   Self-citation (Nesterov)   (Correct)

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Yu. E. Nesterov and A. S. Nemirovskii. Interior Point Polynomial Methods in Convex Programming: Theory and Algorithms. SIAM Publications. SIAM, Philadelphia, USA, 1994.


A k-Partition, Graph Theoretic Approach to.. - Byrne, Gandhe.. (2003)   (Correct)

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Y. Nesterov and A. Nemirovskii, Interior-point polynomial methods in convex programming, SIAM, Philadelphia, 1994.


Receive Antenna Selection in MIMO Systems using Convex.. - Aditya Dua Kamesh   (Correct)

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Y. Nesterov and A. Nemirovsky, "Interior-point polynomial methods in convex programming", Studies in Applied Mathematics, vol. 13, Philadelphia, PA: SIAM, 1994.


On The Least Squares Approximation Of - Symmetric-Definite Pencils Subject   (Correct)

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Yu. Nesterov and A. Nemirovsky, Interior-point polynomial methods in convex programming, Vol. 13, in Studies in Applied Math., SIAM, Philadelphia, 1994.


OPTIMALITY, COMPUTATION, AND INTERPRETATION OF NONNEGATIVE.. - Chu Diele Plemmons   (Correct)

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Yu. E. Nesterov and A. S. Nemirovsky, Interior Point Polynomial Methods in Convex Programming, SIAM Studies in Applied Mathematics, 13, SIAM, Philadelphia, 1994.


The Educational Testing Problem Revisited - Moody Chu And   (Correct)

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Yu. E. Nesterov and A. S. Nemirovsky, Interior Point Polynomial Methods in Convex Programming: Theory and Applications, SIAM, to be published.


SignalProcdJF;I 83 (2003) 729 -- 743.. - Simultaneous..   (Correct)

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Y. Nesterov, A. Nemirovsky, Interior Point Polynomial Methods in Convex Programming: Theory andApplic#dAIT6 SIAM, Philadelphia, PA, 1994.


Journal of Machine Learning Research 5 (2004) 27-72.. - Gert Lanckriet Gert   (Correct)

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Nesterov, Y. and Nemirovsky, A. (1994). Interior Point Polynomial Methods in Convex Programming: Theory and Applications. SIAM.


Kernel-based Integration of Genomic Data using Semide - Nite Programming Gert   (Correct)

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Y. Nesterov and A. Nemirovsky. Interior point polynomial methods in convex programming: Theory and applications. SIAM, Philadelphia, PA, 1994.


Bioinformatics - Vol No Pages   (Correct)

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Nesterov,Y. and Nemirovsky,A. (1994) Interior Point Polynomial Methods in Convex Programming: Theory and Applications. SIAM, Philadelphia, PA.


Unknown -   (Correct)

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Y. Nesterov and A. Nemirovsky, Interior-Point Polynomial Methods in Convex Programming. Philadelphia, PA: SIAM, 1994.


Optimal QoS Sampling Frequency Assignment for - Real-Time Wireless Sensor   (Correct)

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Y. Nesterov and A. Nemirovsky, Interior Point Polynomial Methods in Convex Programming. SIAM, 1994.


Robust Classification with Interval Data - Ghaoui, al. (2003)   (5 citations)  (Correct)

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Yu. Nesterov and A. Nemirovsky. Interior point polynomial methods in convex programming: Theory and applications. SIAM, Philadelphia, PA, 1994.


Receive Antenna Selection in MIMO Systems using Convex.. - Dua, Medepalli, Paulraj   (Correct)

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Y. Nesterov and A. Nemirovsky, "Interior-point polynomial methods in convex programming", Studies in Applied Mathematics, vol. 13, Philadelphia, PA: SIAM, 1994.


Approximate Minimum Enclosing Balls in High Dimensions.. - Kumar, Mitchell.. (2003)   (Correct)

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Y. E. Nesterov and A. S. Nemirovskii. Interior Point Polynomial Methods in Convex Programming. SIAM Publications, Philadelphia, 1994.


Computing Core-Sets and Approximate Smallest Enclosing.. - Kumar, Mitchell..   (Correct)

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Y. E. Nesterov and A. S. Nemirovskii. Interior Point Polynomial Methods in Convex Programming. SIAM Publications, Philadelphia, 1994.


Minimum-Volume Enclosing Ellipsoids and Core - Sets Kumar And   (Correct)

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Nesterov, Yu. E., and Nemirovskii, A. S., Interior-Point Polynomial Methods in Convex Programming, SIAM Publications, Philadelphia, Pennsylvania, 1994.


Complete Classification of Self-scaled Barrier Functions - Schmieta (2000)   (2 citations)  (Correct)

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Y. Nesterov and A. Nemirovski. Interior Point Polynomial Methods in Convex Programming: Theory and Applications. Society for Industrial and Applied Mathematics, Philadelphia, 1994.


Semidefinite Programming and Combinatorial Optimization - Goemans   (Correct)

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Y. Nesterov and A. Nemirovskii. Interior Point Polynomial Methods in Convex Programming. SIAM, Philadelphia, PA, 1994.


Improved Approximation Algorithms for Maximum Cut and.. - Goemans, Williamson (1995)   (389 citations)  (Correct)

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Y. Nesterov and A. Nemirovskii. Interior Point Polynomial Methods in Convex Programming. Society for Industrial and Applied Mathematics, Philadelphia, PA, 1994.


Approximating Quadratic Programming With Bound Constraints - Ye (1997)   (27 citations)  (Correct)

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Yu. E. Nesterov and A. S. Nemirovskii, Interior Point Polynomial Methods in Convex Programming : Theory and Algorithms (SIAM Publications, SIAM, Philadelphia, 1993).


Minimum Principle of Complementary Energy in Nonlinear.. - Kanno, Ohsaki (2002)   (Correct)

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Yu.E. Nesterov and A.S. Nemirovskii, Interior Point Polynomial Methods in Convex Programming: Theory and Applications, SIAM, Philadelphia, PA, 1994.


Improving Complexity of Structured Convex Optimization Problems.. - Glineur   (Correct)

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Y. E. Nesterov and A. S. Nemirovski, Interior-point polynomial methods in convex programming, SIAM Studies in Applied Mathematics, SIAM Publications, Philadelphia, 1994. 20


Robust Blind Multiuser Detection Against Cdma Signature.. - Shuguang Cui Zhi-Quan   (Correct)

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Yu. Nesterov and A. Nemirovsky, "Interior-point polynomial methods in convex programming," volume 13 of "Studies in Applied mathematics." SIAM, Philadelphia, PA, 1994.


Generalized Chebyshev bounds via semidefinite programming - Lieven Vandenberghe Stephen   (Correct)

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Y. Nesterov and A. Nemirovskii. Interior-Point Polynomial Methods in Convex Programming. Society for Industrial and Applied Mathematics, 1994.

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