C. Sim

发表

A Subgradient Method Based on Gradient Sampling for Solving Convex Optimization Problems

Xiaoqi Yang, Yaohua Hu, C. Sim, 2015 .

Superlinear Convergence of Infeasible Predictor-Corrector Path-Following Interior Point Algorithm for SDLCP using the HKM Direction

C. Sim, 2009 .

SUBGRADIENT METHODS FOR QUASI-CONVEX OPTIMIZATION PROBLEMS

Xiaoqi Yang, Yaohua Hu, C. Sim, 2014 .

Newsvendor Pricing Problem in a Two‐Sided Market

Chung-Piaw Teo, Chee-Khian Sim, Mabel C. Chou, 2012 .

Convergence Rates for the Relaxed Peaceman-Rachford Splitting Method on a Monotone Inclusion Problem

C. Sim, 2022, Journal of Optimization Theory and Applications.

Solution to a Monotone Inclusion Problem using the Relaxed Peaceman-Rachford Splitting Method: Convergence and its Rates

C. Sim, 2021, 2111.04177.

Inexact subgradient methods for quasi-convex optimization problems

Xiaoqi Yang, Yaohua Hu, Chee-Khian Sim, 2015, Eur. J. Oper. Res..

A FISTA-type accelerated gradient algorithm for solving smooth nonconvex composite optimization problems

Chee-Khian Sim, Jiaming Liang, Renato D.C. Monteiro, 2019, Computational Optimization and Applications.

Infinite horizon optimal policy for an inventory system with two types of product sharing common hardware platforms

Xue-Ming Yuan, Chee-Khian Sim, Mabel C. Chou, 2017, Oper. Res. Lett..

The impact of supply chain visibility when lead time is random

Loo Hay Lee, Ek Peng Chew, Chee-Khian Sim, 2013, OR Spectr..

Superlinear Convergence of an Infeasible Predictor-Corrector Path-Following Interior Point Algorithm for a Semidefinite Linear Complementarity Problem Using the Helmberg--Kojima--Monteiro Direction

Chee-Khian Sim, C. Sim, 2011, SIAM J. Optim..

Complexity of the relaxed Peaceman–Rachford splitting method for the sum of two maximal strongly monotone operators

R. Monteiro, C. Sim, 2016, Comput. Optim. Appl..

Profit Sharing Agreements in Decentralized Supply Chains: A Distributionally Robust Approach

Chung-Piaw Teo, Chee-Khian Sim, Qi Fu, 2018, Oper. Res..

Interior point method on semi-definite linear complementarity problems using the Nesterov–Todd (NT) search direction: polynomial complexity and local convergence

Chee-Khian Sim, C. Sim, 2019, Comput. Optim. Appl..

Interior point method on semi-definite linear complementarity problems using the Nesterov–Todd (NT) search direction: polynomial complexity and local convergence

C. Sim, 2019, Computational Optimization and Applications.

Optimal policies for inventory systems with two types of product sharing common hardware platforms: Single period and finite horizon

Xue-Ming Yuan, Chee-Khian Sim, Mabel C. Chou, 2013, Eur. J. Oper. Res..

Solution to a Monotone Inclusion Problem using the Relaxed Peaceman-Rachford Splitting Method: Convergence and its Rates

C. Sim, 2021, 2111.04177.

A Subgradient Method Based on Gradient Sampling for Solving Convex Optimization Problems

Yaohua Hu, C. Sim, Xiaoqi Yang, 2015 .

On the Analyticity of Underlying HKM Paths for Monotone Semidefinite Linear Complementarity Problems

C. Sim, 2009 .

Asymptotic Behavior of Underlying NT Paths in Interior Point Methods for Monotone Semidefinite Linear Complementarity Problems

Chee-Khian Sim, C. Sim, 2011, J. Optim. Theory Appl..

Underlying paths in interior point methods for the monotone semidefinite linear complementarity problem

Chee-Khian Sim, Gongyun Zhao, C. Sim, 2007, Math. Program..

Asymptotic Behavior of Helmberg-Kojima-Monteiro (HKM) Paths in Interior-Point Methods for Monotone Semidefinite Linear Complementarity Problems: General Theory

C. Sim, G. Zhao, 2008 .

Superlinear Convergence of an Interior Point Algorithm on Linear Semi-definite Feasibility Problems with Application to Linear Matrix Inequalities

C. Sim, 2022, 2211.08215.

Asymptotic Behavior of HKM Paths in Interior Point Methods for Monotone Semidefinite Linear Complementarity Problems: General Theory

Chee-Khian Sim, Gongyun Zhao, C. Sim, 2005 .