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20142022
most citedA Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem

3 citations · 6 across the 9 of their papers we have counts for

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math.NA2022

Global monotone convergence of Newton-like iteration for a nonlinear eigen-problem

Peichang Guo

The nonlinear eigen-problem is studied where is an irreducible Stieltjes matrix. Under certain conditions, this problem has a unique positive solution…

math.NA2017

A modified Newton method for multilinear PageRank

Pei-Chang Guo

When studying the multilinear PageRank problem, a system of polynomial equations needs to be solved. In this paper, we develop convergence theory for a modified Newton method in a…

math.NA2015

A fast Newton-Shamanskii iteration for M/G/1-type and GI/M/1-type Markov chains

Pei-Chang Guo

For the nonlinear matrix equations arising in the analysis of M/G/1-type and GI/M/1-type Markov chains, the minimal nonnegative solution or can be found by Newton-like meth…

math.NA2014

A modified large-scale structure-preserving doubling algorithm for a large-scale Riccati equation from transport theory

Peichang Guo

We consider the large scale nonsymmetric algebraic Riccati equation arising in transport theory, where the coefficient matrices are symmetric and low-ranked and…

math.NA2014

Perturbation analysis of the extinction probability of a Markovian binary tree

Peichang Guo

The extinction probability of the Markovian Binary Tree (MBT) is the minimal nonnegative solution of a Quadratic Vector Equation (QVE). In this paper, we present a perturbation ana…

math.NA2014★ 2 cited

The Newton-Shamanskii method for solving a quadratic matrix equation arising in quasi-birth-death problems

Peichang Guo

In order to determine the stationary distribution for discrete time quasi-birth-death Markov chains, it is necessary to find the minimal nonnegative solution of a quadratic matrix…