We develop several efficient algorithms for the classical Matrix Scaling problem, which is
used in many diverse areas, from preconditioning linear systems to approximation of the …

We present a first-order quadratic cone programming algorithm that can scale to very large
problem sizes and produce modest accuracy solutions quickly. Our algorithm returns primal …

Convex optimization is a powerful tool for resource allocation and signal processing in
wireless networks. As the network density is expected to drastically increase in order to …

Image demosaicing and denoising are import steps of image signal processing. Sequential
executions of demosaicing and denoising have essential drawbacks that they degrade the …

The significant progress that has been made in recent years both in hardware
implementations and in numerical computing has rendered real-time optimization-based …

Online social networking services distribute various types of messages to their members.
Common types of messages include news, connection requests, membership notifications …

This paper offers a matrix-free first-order numerical method to solve large-scale conic
optimization problems. Solving systems of linear equations pose the most computationally …

In this paper we focus on the problem of optimizing email volume for maximizing sitewide
engagement of an online social networking service. Email volume optimization approaches …

We introduce a convex optimization modeling framework that transforms a convex
optimization problem expressed in a form natural and convenient for the user into an …

Many real world problems from various application areas such as engineering, finance and
operation research can be cast as optimization problems. Generally, the goal is to optimize …