【Coll. 0627】Prof. Sun Defeng: A block symmetric Gauss-Seidel decomposition theorem and its applications in big data nonsmooth optimization

时间：2018-06-27 浏览：460次

**Title: A block symmetric Gauss-Seidel decomposition
theorem and its applications in big data nonsmooth optimization**

**Speaker: Sun Defeng, Department of
Applied Mathematics, The Hong Kong Polytechnic University **

**Abstract**: The Gauss-Seidel method
is a classical iterative method of solving the linear system Qx =b. It has long
been known to be convergent when Q is symmetric positive definite. In this
talk, we shall focus on introducing a symmetric version of the Gauss-Seidel
method and its elegant extensions in solving big data nonsmooth optimization
problems. For a symmetric positive semidefinite linear system Qx = b with x =
(x_1,…,x_s) being partitioned into s blocks, we show that each cycle of the
block symmetric Gauss-Seidel (block sGS) method exactly solves the associated
quadratic programming (QP) problem but added with an extra proximal term. By leveraging on such a connection to
optimization, one can extend the classical convergent result, named as the
block sGS decomposition theorem, to solve a convex composite QP (CCQP) with an
additional nonsmooth term in x_1. Consequently, one is able to use the sGS
method to solve a CCQP. In addition, the extended block sGS method has the
flexibility of allowing for inexact computation in each step of the block sGS
cycle. At the same time, one can also accelerate the inexact block sGS method
to achieve an iteration complexity of O(1/k^2) after performing k block sGS
cycles. As a fundamental building block, the block sGS decomposition theorem
has played a key role in various recently developed algorithms such as the
proximal ALM/ADMM for linearly constrained multi-block convex composite conic
programming (CCCP) and the accelerated block coordinate descent method for
multi-block CCCP.** **

报告时间：2018-06-27 16:30-17:30

报告地点：中国人民大学，数学科学研究院（环境楼）316会议室

报告时间：2018-06-27 16:30 - 17:30

报告地点：中国人民大学，数学科学研究院（环境楼）316会议室