Differential-algebraic equations index transformations
SIAM Journal on Scientific and Statistical Computing - Telecommunication Programs at U.S. Universities
The consistent intialization of differential-algebraic systems
SIAM Journal on Scientific and Statistical Computing
SIAM Journal on Scientific Computing
Introduction to Algorithms
Continuous System Simulation
Monte Carlo-Alternative Probabilistic Simulations for Analog Systems
ISQED '06 Proceedings of the 7th International Symposium on Quality Electronic Design
Proceedings of the 43rd annual Design Automation Conference
Model to hardware matching: for nano-meter scale technologies
Proceedings of the 2006 international symposium on Low power electronics and design
High-performance CMOS variability in the 65-nm regime and beyond
IBM Journal of Research and Development - Advanced silicon technology
Validated solutions of initial value problems for parametric ODEs
Applied Numerical Mathematics
An efficient method for statistical circuit simulation
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
On Taylor Model Based Integration of ODEs
SIAM Journal on Numerical Analysis
A Statistical Characterization of CMOS Process Fluctuations in Subthreshold Current Mirrors
ISQED '08 Proceedings of the 9th international symposium on Quality Electronic Design
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We present a methodology that can analyze the effect of process variations without requiring the repeated simulations of a Monte Carlo type method. A graph theoretic procedure is described to obtain an explicit differential equation from the differential algebraic equations modeling a circuit netlist. With this explicit form, Taylor series polynomials are used to represent the system variables. The non-constant process parameters are represented as intervals, the Taylor series expansion is used to perform interval computations to generate bounds for the system variables. Methods are discussed to prevent blow-up of intervals during the time marching method.