Kent Business School

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Kent Business School
Canterbury
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Publications

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Article
Zhou, Z. et al. (2017). Estimation of cardinality constrained portfolio efficiency via segmented DEA. Omega [Online]. Available at: https://doi.org/10.1016/j.omega.2017.03.006.
Gong, B. et al. (2017). Stochastic Spline-Collocation Method for Constrained Optimal Control Problem Governed by Random Elliptic PDE. International Journal of Numerical Analysis and Modeling [Online]. Available at: http://www.math.ualberta.ca/ijnam/Volume-14-2017/No-4-17/2017-45-09.pdf.
ZHOU, Z. et al. (2017). DEA Frontier Improvement and Portfolio Rebalancing: An Application of China Mutual Funds on Considering Sustainability Information Disclosure. European Journal of Operational Research [Online]. Available at: https://doi.org/10.1016/j.ejor.2017.07.010.
Shen, W. et al. (2016). Increasing discrimination of DEA evaluation by utilizing distances to anti-efficient frontiers. Computers and Operations Research [Online] 75:163-173. Available at: http://dx.doi.org/10.1016/j.cor.2016.05.017.
Gong, B. et al. (2016). A Priori Error Estimate of Stochastic Galerkin Method for Optimal Control Problem Governed by Random Parabolic PDE with Constrained Control. International Journal of Computational Methods [Online] 13. Available at: http://dx.doi.org/10.1142/S0219876216500286.
Wang, W., Liu, W. and Mingers, J. (2015). A Systemic Method for Organisational Stakeholder Identification and Analysis Using Soft Systems Methodology (SSM). European Journal of Operational Research [Online] 246:562-574. Available at: http://dx.doi.org/10.1016/j.ejor.2015.05.014.
Liu, W., Xu, F. and Mingers, J. (2015). New Journal Classification Methods Based on the Global h-Index. Information Processing and Management [Online] 51:50-61. Available at: http://dx.doi.org/10.1016/j.ipm.2014.10.011.
Du, N., Wang, H. and Liu, W. (2015). A Fast Gradient Projection Method for a Constrained Fractional Optimal Control. Journal of Scientific Computing [Online] 68:1-20. Available at: https://doi.org/10.1007/s10915-015-0125-1.
Simper, R. et al. (2015). How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks. Annals of Operations Research [Online] 250:105-127. Available at: https://doi.org/10.1007/s10479-015-1946-x.
Ning, D., Liang, G. and Liu, W. (2014). Adaptive Finite Element Approximation for an Elliptic Optimal Control Problem with Both Pointwise and Integral Control Constraints. Journal of Scientific Computing [Online] 60:160-183. Available at: http://dx.doi.org/10.1007/s10915-013-9790-0.
Xu, F., Liu, W. and Rousseau, R. (2014). Introducing sub-impact factor (SIF-) sequences and an aggregated SIF-indicator for journal ranking. Scientometrics [Online] 102:1577-1593. Available at: http://dx.doi.org/10.1007/s11192-014-1401-9.
Yang, G. et al. (2014). Extended Utility and DEA Models without Explicit Input. Journal of the Operational Research Society [Online] 65:1212-1220. Available at: https://doi.org/10.1057/jors.2013.68.
Ma, C. et al. (2014). Game cross efficiency for systems with two-stage structures. Journal of Applied Mathematics [Online] 2014. Available at: http://dx.doi.org/10.1155/2014/747596.
Xu, F. et al. (2013). Game perspectives of DEA models and their duals. Journal of Applied Mathematics [Online] 2013. Available at: http://dx.doi.org/10.1155/2013/879325.
Du, N., Shi, J. and Liu, W. (2013). An effective gradient projection method for stochastic optimal control. International Journal of Numerical Analysis and Modeling [Online] 10:757-774. Available at: http://www.math.ualberta.ca/ijnam/Volume-10-2013/No-4-13/2013-04-01.pdf.
Zhou, Z. et al. (2013). Further study of production possibility set and performance evaluation model in supply chain in DEA. Annals of Operations Research [Online] 206:585-592. Available at: http://dx.doi.org/10.1007/s10479-013-1365-9.
Yang, G. et al. (2013). Cross-efficiency aggregation in DEA models using the evidential-reasoning approach. European Journal of Operational Research [Online] 231:393-404. Available at: http://dx.doi.org/10.1016/j.ejor.2013.05.017.
Zhou, Z. et al. (2013). A bargaining game model for efficiency decomposition in the centralized model of two-stage systems. Computers and Industrial Engineering [Online] 64:103-108. Available at: http://dx.doi.org/10.1016/j.cie.2012.09.014.
Liu, W. et al. (2012). Developing a Performance Management System Using Soft Systems Methodology: A Chinese Case Study. European Journal of Operational Research [Online] 223:529-540. Available at: http://dx.doi.org/10.1016/j.ejor.2012.06.029.
Zhang, D. et al. (2011). Performance Impact of Research Policy at the Chinese Academy of Sciences. Research Policy [Online] 40:875-885. Available at: http://dx.doi.org/10.1016/j.respol.2011.03.010.
Chen, Y. et al. (2011). A Legendre–Galerkin Spectral Method for Optimal Control Problems Governed by Stokes Equations . SIAM Journal on Numerical Analysis [Online] 49:1625-1648. Available at: http://dx.doi.org/10.1137/080726057.
Liu, W. et al. (2011). A Study of DEA Models without Explicit Inputs. Omega [Online] 39:472-480. Available at: http://dx.doi.org/10.1016/j.omega.2010.10.005.
Xu, F., Liu, W. and Mingers, J. (2010). Modifications of the g-index to improve its discriminatory power. Geomatics and Information Science of Wuhan University 35:23-28.
Liu, W. et al. (2010). The 3E Methodology for Developing Performance Indicators for Public Sector Organizations. Public Money & Management [Online] 30 :305-312. Available at: http://dx.doi.org/10.1080/09540962.2010.509180.
Mingers, J., Liu, W. and Meng, W. (2009). Using SSM to Structure the Identification of Inputs and Outputs in DEA. Journal of the Operational Research Society [Online] 60:168-179. Available at: http://dx.doi.org/10.1057/palgrave.jors.2602542 .
Liu, W. and Yan, N. (2009). LOCAL A POSTERIORI ERROR ESTIMATES FOR CONVEX BOUNDARY CONTROL PROBLEMS. SIAM Journal on Numerical Analysis [Online] 47:1886-1908. Available at: http://dx.doi.org/10.2307/27862714.
Liu, W., Gong, W. and Yan, N. (2009). A new finite element approximation of a state-constrained optimal control problem. Journal of Computational Mathematics 27:97-114.
Yang, D., Chang, Y. and Liu, W. (2008). A priori error estimate and superconvergence analysis for an optimal control problem of bilinear type. Journal of Computational Mathematics 26:471-487.
Ebmeyer, C. and Liu, W. (2008). Finite Element Approximation of the Fast Diffusion and the Porous Medium Equations. SIAM Journal on Numerical Analysis [Online] 46:2393-2410. Available at: http://dx.doi.org/10.1137/060657728.
Chen, Y. and Liu, W. (2008). A posteriori error estimates of mixed methods for miscible displacement problems. International Journal for Numerical Methods in Engineering [Online] 73:331-343. Available at: http://dx.doi.org/10.1002/nme.2075.
Feng, T., Yan, N. and Liu, W. (2008). Adaptive Finite Element Methods for the Identification of Distribution Parameters in Elliptic Equation. Advances in Computational Mathematics [Online] 29:27-53. Available at: http://dx.doi.org/10.1007/s10444-007-9035-6.
Liu, W., Meng, W. and Zhang, D. (2008). A study of Multi-level DEA Models and Applications . Chinese Journal of Management Science 16:148-154.
Chen, Y., Yi, N. and Liu, W. (2008). Legendre-Galerkin Spectral Method for Optimal Control Problems Governed by Elliptic Equations. SIAM Journal on Numerical Analysis [Online] 46:2254-2275. Available at: http://dx.doi.org/10.1137/070679703 .
Liu, W., Meng, W. and Zhang, D. (2008). Two-Level DEA Approaches in Research Institute Evaluation. Omega [Online] 36:950-957. Available at: http://dx.doi.org/10.1016/j.omega.2007.12.005 .
Chen, Y. and Liu, W. (2008). A posteriori error estimates for mixed finite element solutions of convex optimal control problems. Journal of Computational and Applied Mathematics [Online] 211:76-89. Available at: http://dx.doi.org/10.1016/j.cam.2006.11.015.
Liu, W., Meng, W. and Sharp, J. (2007). A Modified Slacks-Based Measure Model for Data Envelopment Analysis with 'Natural' Negative Outputs and Inputs. Journal of the Operational Research Society [Online] 58:1672-1677. Available at: http://dx.doi.org/10.1057/palgrave.jors.2602318.
Mingers, J., Liu, W. and Meng, W. (2007). Studies on a framework for science-technology evaluation using soft system methodology. Journal of Science Research Management 28:1-8.
Liu, W., Meng, W. and Mingers, J. (2007). On framework of research evaluation. Scientific Research Management 28:1-8.
Huang, Y., Li, R. and Liu, W. (2007). Preconditioned descent algorithms for p-Laplacian. Journal of Scientific Computing [Online] 32:343-371. Available at: http://dx.doi.org/10.1007/s10915-007-9134-z.
Li, R., Liu, W. and Yan, N. (2007). A posteriori error estimates of recovery type for distributed convex optimal control problems . Journal of Scientific Computing [Online] 33:155-182. Available at: http://www.springerlink.com/content/mwx7583j79514311/.
Liu, W., Meng, W. and Li, Q. (2007). 3E Index System for Research Institute Evaluation. Studies in Science of Science 25:908-914.
Liu, W. and Meng, W. (2006). Scale Efficiency Analysis of Research Institutes Using DEA. Scientific Research Management 27:20-25.
Liu, W., Chen, N. and Feng, J. (2006). Sufficient and necessary condition for the convergence of stochastic approximation algorithms. Statistics and Probability Letters 76:203-210.
Liu, W. and Chen, Y. (2006). Error Estimates and Superconvergence of Mixed Finite Element for Quadratic Optimal Control. International Journal of Numerical Analysis and Modeling 3:311-321.
Liu, W., Sharp, J. and Wu, Z. (2006). Preference, Production, and Performance in Data Envelopment Analysis. Annals of Operation Research, Performance Evaluation and Beyond: Data Envelopment Analysis Research Frontiers 145:105 - 127.
Liu, W., Feng, T. and Gulliksson, M. (2006). Adaptive Finite Element Methods for the Identification of Elastic Constants. Journal of Scientific Computing [Online] 26:217-235. Available at: http://dx.doi.org/10.1007/s10915-004-4935-9.
Liu, W., Chen, N. and Feng, J. (2006). Necessary and Sufficient Conditions for Convergence of Stochastic Approximation Algorithms. Probability and Statistics Letter 76:203-210.
Liu, W., Carstensen, C. and Yan, N. (2006). A Posteriori Fe Error Control for P-Laplacian by Gradient Recovery in Quasi-norm. Mathematics of Computation 75:1599-1616.
Liu, W., Meng, W. and Hu, Z. (2006). Efficiency Evaluation of Basic Research in China. Scientometrics [Online] 69:85 - 101. Available at: http://dx.doi.org/10.1007/s11192-006-0140-y.
Liu, W., Carstensen, C. and Yan, N. (2006). A Posteriori Error Estimates For Finite Element Approximation of Parabolic p-Laplacian. SIAM Journal on Numerical Analysis 43:2294 - 2319.
Sirlantzis, K., Lamb, J. and Liu, W. (2006). Novel Algorithms for Noisy Minimization Problems with Applications to Neural Networks Training. Journal of Optimization Theory and Applications [Online] 129:325-340. Available at: http://dx.doi.org/10.1007/s10957-006-9066-z.
Liu, W., Ebmeyer, C. and Steinhauer, M. (2005). Global regularity in fractional order Sobolev spaces for the p-Laplace equation on polyhedral domains . Journal for Analysis and it's Applications [Online] 24:353-374. Available at: http://dx.doi.org/10.4171/ZAA/1245.
Liu, W., Meng, W. and Li, X. (2005). DEA in Research Evaluation. Management of Science and Technology 26:11-16.
Liu, W. (2005). Adaptive Multi-Meshes in Finite Element Approximation of Optimal Control. Contemporary Mathematics 383:113-132.
Liu, W. and Ebmeyer, C. (2005). Quasi-Norm interpolation error estimates for the piecewise linear finite element approximation of p-Laplacian problems. Numerische Mathematik 100:233 -258.
Liu, W. et al. (2004). A Posteriori Error Estimates for Discontinuous Galerkin Time-Stepping Method for Optimal Control Problems Governed By Parabolic Equations. SIAM Journal on Numerical Analysis 42:1032-1061.
Liu, W., Li, R. and Ma, H. (2004). Moving Mesh Method with Error-Estimator-Based Monitor and Its Applications to Static Obstacle Problem. Journal of Scientific Computing 21:31-55.
Liu, W., Dai, Y. and Lamb, J. (2003). Novel Supervisor-Searcher Cooperation Algorithms For Minimization Problems With Strong Noise. Optimization Methods and Software [Online] 18:246-264. Available at: http://dx.doi.org/10.1080/1055678031000119364.
Liu, W., Neittaanmaki, P. and Tiba, D. (2003). Existence For Shape Optimization Problems in Arbitrary Dimension. SIAM Journal on Control and Optimization [Online] 41:1440-1454. Available at: http://dx.doi.org/10.1137/S0363012901388142.
Liu, W. and Yan, N. (2003). A Posteriori Error Estimates For Nonlinear Elliptic Control Problems. Application of Numerical Analysis [Online] 47:173-187. Available at: http://dx.doi.org/10.1016/S0168-9274(03)00054-0.
Liu, W. and Yan, N. (2003). A Posteriori Error Estimates for Optimal Control Problems Governed By Parabolic Equations. Numerische Mathematik [Online] 93:497-521. Available at: http://dx.doi.org/10.1007/s002110100380.
Liu, W. and Yan, N. (2003). A Posteriori Error Estimates For Control Problems Governed by Stokes' Equations. SIAM Journal on Numerical Analysis [Online] 40:1805-1869. Available at: http://dx.doi.org/10.1137/S0036142901384009.
Liu, W. and Yan, N. (2002). Quasi-Norm Local Error Estimates For Finite Element Approximation of P-Laplacian. SIAM, Journal on Numerical Analysis [Online] 39:100-127. Available at: http://dx.doi.org/10.1137/S0036142999351613.
Liu, W. et al. (2002). Adaptive Finite Element Approximation For Distributed Elliptic Optimal Control Problems. SIAM Journal on Control and Optimization 41:1321-1349.
Liu, W. and Yan, N. (2002). A Posteriori Error Estimates for Convex Boundary Control Problems. SIAM Journal on Numerical Analysis [Online] 39:73-99. Available at: http://dx.doi.org/10.1137/S0036142999352187.
Liu, W. and Yan, N. (2002). Quasi-Norm Interpolation Error Estimation and a Posterori Error Estimates for P-Laplacian. SIAM Journal on Numerical Analysis [Online] 40:1870-1895. Available at: http://dx.doi.org/10.1137/S0036142901393589.
Liu, W. and Cheng, R. (2001). The Consistency of Estimators in Finite Mixture Models. Scandinavian Journal of Statistics [Online] 28:603-616. Available at: http://dx.doi.org/10.1111/1467-9469.00257.
Liu, W. and Yan, N. (2001). A Posteriori Error Estimates For Distributed Optimal Control Problems. Advances in Computational Mathematics [Online] 15:285-309. Available at: http://dx.doi.org/10.1023/A:1014239012739.
Liu, W. and Yan, N. (2001). Quasi-norm local error estimators for p-Laplacian. SIAM Journal on Numerical Analysis [Online] 39:100-127. Available at: http://dx.doi.org/10.1137/S0036142999351613.
Liu, W. and Yan, N. (2001). Quasi-Norm a Posteriori Error Estimates For Non-Conforming Finite Element Approximation of P-Laplacian. Numerische Mathematik [Online] 89:341-378. Available at: http://dx.doi.org/10.1007/PL00005470.
Liu, W. and Dai, Y. (2001). Minimization Algorithms Based On Supervisor and Searcher Co-operation. Journal of Optimization Theory and Applications [Online] 111:359-379. Available at: http://dx.doi.org/10.1023/A:1011986402461.
Liu, W. and Tang, T. (2001). Error Analysis for a Galerkin-Spectral Method With Coordinate Transformation for Solving Singularly Pertubed Problems. Applied Numerical Mathematics [Online] 38:315-345. Available at: http://10.1016/S0168-9274(01)00036-8 .
Liu, W. and Tiba, D. (2001). Error Estimates in the Approximation of Optimization Problems Governed by Non-Linear Operators. Numerical Functional Analysis and Optimization [Online] 22:953-972. Available at: http://dx.doi.org/10.1081/NFA-100108317.
Liu, W. and Yan, N. (2001). Quasi-norm a priori and a posteriori error estimates for the nonconforming approximation of p-Laplacian. Numerische Mathematik [Online] 89:341-378. Available at: http://dx.doi.org/10.1007/PL00005470.
Liu, W., Tang, T. and Ma, H. (2001). On Mixed Error Estimates For Elliptic Obstacle Problems. Advances in Computational Mathematics [Online] 15:261-283. Available at: http://dx.doi.org/10.1023/A:1014261013164.
Liu, W. and Yan, N. (2001). Quasi Norm a Posteriori Error Estimates Based on Gradient Recovery or Residual Estimation. Journal of Scientific Computing 16:435-477.
Liu, W. and Yan, N. (2001). Some a Posteriori Error Estimators for p-Laplacian Based on Residual Estimation or Gradient Recovery. Journal of Scientific Computing [Online] 16:435-477. Available at: http://dx.doi.org/10.1023/A:1013246424707.
Liu, W. and Yan, N. (2001). Quasi-norm local error estimates for p-laplacian. SIAM Journal on Numerical Analysis [Online] 39:100-127. Available at: http://dx.doi.org/10.1137/S0036142999351613.
Liu, W. and Yan, N. (2000). A Posteriori Error Estimators for a Class of Variational Inequalities. Journal of Scientific Computing [Online] 15:361-393. Available at: http://dx.doi.org/10.1023/A:1011130501691.
Liu, W. (2000). Finite element approximation of a nonlinear elliptic equation arising from bimaterial problems in elastic-plastic mechanics. Numerische Mathematik [Online] 86:491-506. Available at: http://dx.doi.org/10.1007/s002110000157.
Liu, W. and Yan, N. (2000). A posteriori error estimates for some model boundary control problems. Journal of Computational and Applied Mathematics [Online] 120:159-173. Available at: http://dx.doi.org/10.1016/S0377-0427(00)00308-3.
Liu, W. and Yan, N. (2000). A Posteriori Error Estimates for a Model Boundary Optimal Control Problem. Journal of Computational and Applied Mathematics [Online] 120:159-173. Available at: http://dx.doi.org/10.1016/S0377-0427(00)00308-3.
Liu, W., Neittaanmaki, P. and Tiba, D. (2000). On the structural optimization problems. Comptes Rendus De L Academie Des Sciences Serie I-Mathematique [Online] 331:101-106. Available at: http://dx.doi.org/10.1016/S0764-4442(00)00316-5 .
Liu, W. (2000). Finite element approximationof a nonlinear elliptic equation arising from bimaterial problemsin elastic-plastic mechanics. Numerische Mathematik [Online] 86:491-506. Available at: http://dx.doi.org/10.1007/s002110000157.
Liu, W. (1999). Degenerate quasilinear elliptic equations arising from bimaterial problems in elastic-plastic mechanics. Nonlinear Analysis: Theory, Methods & Applications [Online] 35:517-529. Available at: http://dx.doi.org/10.1016/S0362-546X(98)00014-5.
Cheng, R. and Liu, W. (1997). A continuous representation of the family of stable law distributions. Journal of the Royal Statistical Society: Series B (Statistical Methodology) [Online] 59:137-145. Available at: http://www.scopus.com/inward/record.url?eid=2-s2.0-10844273697&partnerID=40&md5=800e83d47971ad8ecf1a0c08b245fdb1.
Cheng, R. and Liu, W. (1997). Acknowledgement of priority: A continuous representation of the family of stable law distributions. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 59:729-729.
Robert, C. et al. (1997). On Bayesian analysis of mixtures with an unknown number of components - Discussion. Journal of the Royal Statistical Society: Series B (Statistical Methodology) [Online] 59:758-792. Available at: http://dx.doi.org/10.1111/1467-9868.00095.
Liu, W. and Shen, J. (1996). A new efficient spectral Galerkin method for singular perturbation problems. Journal of Scientific Computing [Online] 11:411-437. Available at: http://dx.doi.org/10.1007/BF02088955.
Liu, W. and Barrett, J. (1996). Finite element approximation of some degenerate monotone quasilinear elliptic systems. SIAM Journal on Numerical Analysis [Online] 33:88-106. Available at: http://dx.doi.org/10.1137/0733006.
Liu, W. and Floudas, C. (1996). Generalized primal-relaxed dual approach for global optimization. Journal of Optimization Theory and Applications [Online] 90:417-434. Available at: http://dx.doi.org/10.1007/BF02190006.
Liu, W. and Forbes, R. (1995). Modelling the link between emission current and LMIS cusp length. Applied Surface Science [Online] 87-88:122-126. Available at: http://dx.doi.org/10.1016/0169-4332(94)00528-1.
Liu, W. and Floudas, C. (1995). Convergence of the (GOP) algorithm for a large class of smooth optimization problems. Journal of Global Optimization [Online] 6:207-211. Available at: http://dx.doi.org/10.1007/BF01096769.
Liu, W. and Barrett, J. (1995). Quasi-norm error bounds for the finite element approximation of some degenerate quasilinear parabolic equations and variational inequalities. Numerical Functional Analysis and Optimization [Online] 16:1309-1321. Available at: http://dx.doi.org/10.1080/01630569508816675.
Barrett, J. and Liu, W. (1994). Finite element approximation of the parabolic p-Laplacian. SIAM Journal on Numerical Analysis [Online] 31:413-428. Available at: http://dx.doi.org/10.1137/0731022.
Liu, W. and Barrett, J. (1994). Quasi-norm error bounds for the finite element approximation of some degenerate quasilinear elliptic equations and variational inequalities. RAIRO - Modélisation Mathématique et Analyse Numérique [Online] 28:725-744. Available at: http://www.numdam.org/item?id=M2AN_1994__28_6_725_0.
Barrett, J. and Liu, W. (1994). Quasi-norm error bounds for the finite element approximation of a non-Newtonian flow. Numerische Mathematik [Online] 68:437-456. Available at: http://dx.doi.org/10.1007/s002110050071.
Liu, W. and Barrett, J. (1993). Error bounds for the finite element approximation of a degenerate quasilinear parabolic variational inequality. Advances in Computational Mathematics [Online] 1:223-239. Available at: http://dx.doi.org/10.1007/BF02071387.
Liu, W. and Barrett, J. (1993). Higher-Order Regularity for the Solutions of Some Degenerate Quasilinear Elliptic Equations in the Plane. SIAM Journal on Mathematical Analysis [Online] 24:1522-1536. Available at: http://dx.doi.org/10.1137/0524086.
Liu, W. and Barrett, J. (1993). A Remark on the Regularity of the Solutions of the p-Laplacian and Its Application to Their Finite Element Approximation. Journal of Mathematical Analysis and Applications [Online] 178:470-487. Available at: http://dx.doi.org/10.1006/jmaa.1993.1319.
Liu, W. and Rubio, J. (1993). Optimality conditions for strongly monotone variational inequalities. Applied Mathematics & Optimization [Online] 27:291-312. Available at: http://dx.doi.org/10.1007/BF01314820.
Barrett, J. and Liu, W. (1993). Finite element error analysis of a quasi-Newtonian flow obeying the Carreau or power law. Numerische Mathematik [Online] 64:433-453. Available at: http://dx.doi.org/10.1007/BF01388698.
Liu, W. and Floudas, C. (1993). A remark on the GOP algorithm for global optimization. Journal of Global Optimization [Online] 3:519-521. Available at: http://dx.doi.org/10.1007/BF01096418.
Liu, W. and Barrett, J. (1993). A further remark on the regularity of the solutions of the p-Laplacian and its applications to their finite element approximation. Nonlinear Analysis: Theory, Methods & Applications [Online] 21:379-387. Available at: http://dx.doi.org/10.1016/0362-546X(93)90081-3.
Liu, W. and Rubio, J. (1993). A unified optimality condition for eigenvalue problems. Kybernetika [Online] 29:249-255. Available at: http://dml.cz/dmlcz/125105.
Barrett, J. and Liu, W. (1993). Finite element approximation of the p-Laplacian. Mathematics of Computation [Online] 61:523-537. Available at: http://dx.doi.org/10.1090/S0025-5718-1993-1192966-4.
Liu, W. and Rubio, J. (1992). Local convergences and optimal shape design. SIAM Journal on Control and Optimization [Online] 30:49-62. Available at: http://dx.doi.org/10.1137/0330004.
Liu, W. and Rubio, J. (1992). Optimal shape design for systems governed by variational inequalities, part 3: Necessary conditions in the elliptic case. Journal of Optimization Theory and Applications [Online] 74:273-304. Available at: http://dx.doi.org/10.1007/BF00940895.
Liu, W. and Rubio, J. (1991). Maximum principles for optimal controls for elliptic variational inequalities of the second kind. IMA Journal of Mathematical Control and Information [Online] 8:211-230. Available at: http://dx.doi.org/10.1093/imamci/8.3.211.
Liu, W. and Rubio, J. (1991). Optimal shape design for systems governed by variational inequalities, part 2: Existence theory for the evolution case. Journal of Optimization Theory and Applications [Online] 69:373-396. Available at: http://dx.doi.org/10.1007/BF00940650.
Liu, W. and Rubio, J. (1991). Optimal shape design for systems governed by variational inequalities, part 1: Existence theory for the elliptic case. Journal of Optimization Theory and Applications [Online] 69:351-371. Available at: http://dx.doi.org/10.1007/BF00940649.
Book
Liu, W. and Yan, N. (2008). Adaptive Finite Element Methods for Optimal Control Governed by PDEs: C Series in Information and Computational Science 41 . China: Science Press.
Book section
Liu, W. and Sirlantzis, K. (2009). SSC Minimization Algorithms. in: Floudas, C. and Pardalos, P. eds. Encyclopaedia of Optimization (2nd ed.). Springer Verlag, pp. 3662-3665.
Liu, W., Meng, W. and Zhang, T. (2006). Incorporating Value Judgments in DEA. in: Productivity Analysis in the Service Sector using Data Envelopment Analysis. NK Avkiran.
Liu, W. and Feng, J. (2001). SSC Minimisation Algorithms for Nonsmooth and Stochastic Optimisation. in: Floudas, C. A. and Pardalos, P. M. eds. Encyclopedia of Optimization. Kluwer academic Publishers, pp. 257-260.
Liu, W. and Sirlantzis, K. (2001). SSC Minimization Algorithms . in: Floudas, C. A. and Pardalos, P. M. eds. Encyclopedia of Optimization. Boston: Kluwer Academic Publishers, pp. 253-257.
Liu, W. (2001). Generalised primal-relaxed dual approach, GPRD. in: Floudas, C. A. and Pardalos, P. M. eds. Encyclopaedia of Optimization. Kluwer Academic Publishers, pp. 254-257.
Conference or workshop item
Liu, W. (2001). Recent Advances in Mesh Adaptivity for Optimal Control. in: Workshop held at the Weierstrass Institute for Applied Analysis and Stochastics. v, pp. 154-166. Available at: http://dx.doi.org/10.1007/978-3-0348-8233-0_12.
Sirlantzis, K. and Liu, W. (2001). The Supervisor-Searcher Co-operation Framework: A Class of Powerful Algorithms for Stochastic Optimisation . in: Euro 2001-European Operational Research Conference, Association of European Operational Research Societies . p. .
Liu, W. and Barrett, J. (1994). Finite-Element Approximation of Degenerate Quasi-Linear Elliptic and Parabolic Problems. in: 15th Dundee Conference on Numerical Analysis. Longman, pp. 1-16.
Monograph
Mingers, J. et al. (2009). The 3E Methodology for Developing Performance Indicators for Public Sector Organisations. University of Kent Canterbury. Available at: http://dx.doi.org/10.1080/09540962.2010.509180.
Liu, W., Mingers, J. and Xu, F. (2009). Modifications to the g-index to Improve its Discriminatory Power. University of Kent Canterbury.
Liu, W. et al. (2007). DEA Analysis Based on both Efficient and Anti-Efficient Frontiers. Kent Business School, University of Kent. Available at: http://www.kent.ac.uk/kbs/pdf/Liu-Zhang-Qi-and-Li-No-144.pdf.
Liu, W., Meng, W. and Zhang, D. (2007). Multi-level DEA Approach in Research Evaluation. Kent Business School, University of Kent.
Liu, W., Mingers, J. and Meng, W. (2006). Combining SSM and DEA: Evaluating the Basic Research Performance for the Chinese Academy of Sciences. University of Kent, Canterbury.
Sharp, J., Meng, W. and Liu, W. (2005). A Modified Slacks Based Measure Model for Data Environment Analysis with 'Natural' Negative Outputs and Inputs. Kent Business School, University of Kent. Available at: http://www.kent.ac.uk/kbs/pdf/Sharp-Liu-and-Meng-No-84.pdf.
Liu, W., Meng, W. and Hu, Z. (2005). Efficiency Evaluation of Basic Research in China. scientometrics. Available at: http://www.kent.ac.uk/kbs/pdf/Liu-and-Meng-No-82.pdf.
Liu, W., Sharp, J. and Wu, Z. (2004). Preference, Production and Performance in Data Envelopment Analysis. Kent Business School. Available at: http://www.kent.ac.uk/kbs/pdf/Liu-Sharp-and-Wu-No-52.pdf.
Total publications in KAR: 128 [See all in KAR]
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Research Interests

Professor Liu's research interests include:

  • Global and parallel optimization methods
  • Numerical simulation and modelling
  • Simulation and optimisation of highly complex systems
  • Production and operations management
  • Productivity analysis
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Supervision

Current Supervisees
  • Lu Zhao: Performance Management of Supply Chain
  • Ahmed Aljazea: The Impact of Big Data on Warranty Management
  • Yu Ye: Research on the Development of Performance Management System Based on the Performance Generating Process
Past Supervisees
  • Yi Zheng: Theory and Action Research on a new Framework and Approach of Performance Management
  • Yang Song: Performance Management in Financial Organizations
  • Wei Wang: Performance Management in Public Hospitals in China
  • Evangelia Lipitakis: The Use of Bibliometric Methods in Evaluating Research Performance In Business and Management: A Study of Three UK Business Schools
  • Li Qi: Performance Management and Efficiency Analysis for Companies
  • Ross Wyatt: DEA Models
  • Fang Xu: Measuring Research Quality by using Bibliometric Methods
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Last Updated: 06/09/2017