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» The Monte Carlo Method in Science and Engineering
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DAC
2009
ACM
14 years 9 months ago
Provably good and practically efficient algorithms for CMP dummy fill
Abstract--To reduce chip-scale topography variation in Chemical Mechanical Polishing (CMP) process, dummy fill is widely used to improve the layout density uniformity. Previous res...
Chunyang Feng, Hai Zhou, Changhao Yan, Jun Tao, Xu...
CCE
2006
13 years 8 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
TCAD
2010
164views more  TCAD 2010»
13 years 2 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
COMPLEX
2009
Springer
14 years 2 months ago
Designing Capital-Intensive Systems with Architectural and Operational Flexibility Using a Screening Model
: Development of capital intensive systems, such as offshore oil platforms or other industrial infrastructure, generally requires a significant amount of capital investment under v...
Jijun Lin, Olivier de Weck, Richard de Neufville, ...
GLVLSI
2010
IEEE
190views VLSI» more  GLVLSI 2010»
13 years 10 months ago
A linear statistical analysis for full-chip leakage power with spatial correlation
In this paper, we present an approved linear-time algorithm for statistical leakage analysis in the present of any spatial correlation condition (strong or weak). The new algorith...
Ruijing Shen, Sheldon X.-D. Tan, Jinjun Xiong