This paper describes a general framework for converting online game playing algorithms into constrained convex optimization algorithms. This framework allows us to convert the wel...
—Networks need to accommodate diverse applications with different Quality-of-Service (QoS) requirements. New ideas at the physical layer are being developed for this purpose, suc...
Ying Li, Mung Chiang, A. Robert Calderbank, Suhas ...
Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stab...
: In addition to the growing complexity of software systems, test effort takes increasing amounts of time and correspondingly more money. Testing costs may be reduced without compr...
Christof J. Budnik, Rajesh Subramanyan, Marlon Vie...
The asymptotic convergence of parameterized variants of Newton's method for the solution of nonlinear systems of equations is considered. The original system is perturbed by a...
Nicholas I. M. Gould, Dominique Orban, Annick Sart...