The name is absent

[68] SPGLl:            A solver for sparse reconstruction.

http://www.cs.ubc.ca/labs/scl/spgll/, seen in June, 2008.

[69] A. Srivastava, D. Sylvester, and D. Blaauw. Statistical optimization of leak-
age power considering process variations using dual-vth and sizing. In Con-
ferenc on Design Automation e, pages 773-778, 2004.

[70] J. L. Tsai, D. Baik, С.-P. Chen, and K. Saluja. A yield improvement method-
ology using pre- and post-silicon statistical clock scheduling. In International
Conference on Computer-Aided Design, pages 611-618, 2004.

[71] J. Tschanz, J. Kao, S. Narendra, R. Nair, D. Antoniadis, A. Chandrakasan,
and V. De. Adaptive body bias for reducing impacts of die-to-die and within-
die parameter variations on microprocessor frequency and leakage, pages
1396-1402, 2002.

[72] E. van den Berg and M. P. Friedlander. Probing the pareto frontier for basis
pursuit solutions. To appear in SIAM J. on Scientific Computing, 2008.

[73] M. Vetterli. Wavelets, approximation, and compression. IEEE Signal Pro-
cessing Magazine, 18(5):59-73, 2001.

[74] P. Vuillod, L. Benini, and G. D. Micheli. Generalized matching from the-
ory to application. In International Conference on Computer-Aided Design,
pages 13-20, 1997.

96

<<   102   103   104   105   106   >>

More intriguing information