This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
We propose a novel and efficient charge-based decoupling capacitance budgeting algorithm. Our method uses the macromodeling technique and effective radius of decoupling capacitan...
Min Zhao, Rajendran Panda, Savithri Sundareswaran,...
Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems o...
Faisal N. Abu-Khzam, Michael A. Langston, Pushkar ...
— Pattern recognition has many applications in design automation. A generalized pattern recognition algorithm is presented in this paper which can efficiently extract similar pat...
Gate sizing and threshold voltage (Vt) assignment are popular techniques for circuit timing and power optimization. Existing methods, by and large, are either sensitivity-driven h...