Converting complex equations into simpler, more tractable equations usually involves approximation. Approximation is usually done by identifying and removing insignificant terms, ...
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
A novel design approach for simultaneous power and stability (static noise margin, SNM) optimization of nanoCMOS static random access memory (SRAM) is presented. A 45nm single-end...
Garima Thakral, Saraju P. Mohanty, Dhruva Ghai, Dh...
Abstract--Power-awareness in networking attracts more attention as the trends in the energy consumption of the Internet raise growing concerns about the environmental impacts and s...
The class Max (r, 2)-CSP consists of constraint satisfaction problems with at most two r-valued variables per clause. For instances with n variables and m binary clauses, we presen...