陳界山Jein-Shan Chen余政和Cheng-He Yu2019-09-052015-07-292019-09-052015http://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22G060240031S%22.&%22.id.&http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/101534無中文摘要The system of absolute value equations Ax + B|x| = b, denoted by AVEs, is a non-differentiable NP-hard problem, where A,B are arbitrary given n × n real matrices and b is arbitrary given n-dimensional vector. In this paper, we study four new smoothing functions and propose a smoothing-type algorithm to solve AVEs. With the assumption that the minimal singular value of the matrix A being strictly greater than the maximal singular value of the matrix B, we prove that the algorithm is globally and locally quadratically convergent with the four smooth equations.平滑函數奇異值收斂Smoothing functionsingular valueconvergence解絕對值方程式的新平滑函數New Smoothing Functions for Absolute Value Equation