We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
Abstract-- The paper presents the implementation of nonlinear least-squares regression in a Field Programmable Gate Array (FPGA) device. The implemented algorithm is very performan...
Andrea Abba, Antonio Manenti, Andrea Suardi, Angel...
We introduce nonoverlapping domain decomposition algorithms of Schwarz waveform relaxation type for the semilinear reaction-diffusion equation. We define linear Robin and second or...
Filipa Caetano, Martin J. Gander, Laurence Halpern...
The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it lacks a firm theoretica...
Stephen D. Hawley, Les E. Atlas, Howard J. Chizeck
This work presents a new hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem (DRCTSP). The most important differences between the new EA and...