We propose a provably efficient application-controlled global strategy for organizing a cache of size k shared among P application processes. Each application has access to informa...
Rakesh D. Barve, Edward F. Grove, Jeffrey Scott Vi...
Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic prof...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raym...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
We present an interior-point penalty method for nonlinear programming (NLP), where the merit function consists of a piecewise linear penalty function (PLPF) and an 2-penalty functi...