The name is absent



Chapter 6

Evaluation Results

To verify the accuracy of the proposed methods, we simulated variations in a
number of MCNC benchmark circuits. Then, we used ^ɪ-regularization,
l∙2-
minimization and TUSC (see Section 3.4) to estimate the variations. The simula-
tion result shows that using ^ɪ-regularization and TUSC improve the estimations
dramatically.

6.1 Simulations setup

• The variation model: As it is explained in Section 2.2.1, we have used
multivariate Gaussian distribution to model the spatial correlation in the
variations. The model well agrees with the measurement data and is also
used by other researchers [22,32,47,69].

65



More intriguing information

1. The name is absent
2. Palvelujen vienti ja kansainvälistyminen
3. The storage and use of newborn babies’ blood spot cards: a public consultation
4. Return Predictability and Stock Market Crashes in a Simple Rational Expectations Model
5. Examining Variations of Prominent Features in Genre Classification
6. Who runs the IFIs?
7. THE AUTONOMOUS SYSTEMS LABORATORY
8. LOCAL PROGRAMS AND ACTIVITIES TO HELP FARM PEOPLE ADJUST
9. The ultimate determinants of central bank independence
10. The name is absent