2023 - Research.com Mathematics in China Leader Award
2022 - Research.com Mathematics in China Leader Award
Spectral line is often connected to Astronomy in his work. His Astronomy study frequently draws connections between adjacent fields such as Spectral line. His research links Mathematical analysis with Laplace operator. Mathematical analysis is closely attributed to Laplace operator in his study. His Discrete mathematics study frequently draws connections to other fields, such as Graph. His Graph study frequently involves adjacent topics like Adjacency matrix. He integrates Adjacency matrix with Adjacency list in his research. Adjacency list is frequently linked to Combinatorics in his study. His multidisciplinary approach integrates Combinatorics and Discrete mathematics in his work.
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A nonsmooth version of Newton's method
Liqun Qi;Jie Sun.
Mathematical Programming (1993)
Eigenvalues of a real supersymmetric tensor
Journal of Symbolic Computation (2005)
Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations
Mathematics of Operations Research (1993)
Nonsmooth Equations: Motivation and Algorithms
Jong-Shi Pang;Liqun Qi.
Siam Journal on Optimization (1993)
A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities
Liqun Qi;Defeng Sun;Guanglu Zhou.
Mathematical Programming (2000)
A smoothing method for mathematical programs with equilibrium constraints
Francisco Facchinei;Houyuan Jiang;Liqun Qi.
Mathematical Programming (1999)
Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities
X. Chen;L. Qi;D. Sun.
Mathematics of Computation (1998)
$M$-Tensors and Some Applications
Liping Zhang;Liqun Qi;Guanglu Zhou.
SIAM Journal on Matrix Analysis and Applications (2014)
Finding the Largest Eigenvalue of a Nonnegative Tensor
Michael Ng;Liqun Qi;Guanglu Zhou.
SIAM Journal on Matrix Analysis and Applications (2009)
Towards better MR characterization of neural tissues using directional diffusion kurtosis analysis.
Edward S. Hui;Matthew M. Cheung;Liqun Qi;Ed X. Wu.
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