Hung Phan

Hung M Phan

Associate Professor, Graduate Coordinator

College
College of Sciences
Department
Mathematics & Statistics
Office
Southwick 303H
Email
Hung_Phan@uml.edu
Links

Expertise

Optimization, Mathematical Programming, Variational Analysis

Research Interests

Mathematical Optimization, Operations Research, Variational Analysis, Mathematical Programming

Education

  • Ph D: Mathematics, (2011), Wayne State University

Selected Publications

  • Bartz, S., Campoy, R., Phan, H. (2020). Demiclosedness principles for generalized nonexpansive mappings. Journal of Optimization Theory and Applications , 186(3) 759-778.
  • Dao, M.N., Phan, H. (2020). Computing the resolvent of the sum of operators with application to best approximation problems. Optimization Letters, 14 1193-1205.
  • Bartz, S., Bauschke, H.H., Phan, H., Wang, X. (2019). Multi-marginal maximal monotonicity and convex analysis. Mathematical Programming, https://doi.org/10.1007/s10107-019-01433-9.
  • Dao, M.N., Phan, H. (2019). Adaptive Douglas-Rachford splitting algorithm for the sum of two operators. SIAM Journal on Optimization, 29(4) 2697-2724.
  • Koch, V.R., Phan, H. (2019). Optimization of triangular networks with spatial constraints. Optimization Methods and Software, https://doi.org/10.1080/10556788.2019.1604703.
  • Dao, M.N., Phan, H. (2019). Linear convergence of projection algorithms. Mathematics of Operations Research, 44(2) 715-738.
  • Nam, N., Phan, H., Wang, B. (2019). Bornological coderivative and subdifferential calculus in smooth Banach spaces. Set-Valued and Variational Analysis, 27(4) 971-993.
  • Bello-Cruz, J., Diaz-Millan, R., Phan, H. (2019). Conditional extragradient algorithms for variational inequalities. Pacific Journal of Optimization, 15(3) 331-357.
  • Dao, M.N., Phan, H. (2018). Linear convergence of the generalized Douglas-Rachford algorithm for feasibility problems. Journal of Global Optimization, 72(3) 443-474.
  • Phan, H. (2016). Linear convergence of the Douglas–Rachford method for two closed sets. Optimization, 65(2) 369–385.
  • Bauschke, H.H., Dao, M.N., Noll, D., Phan, H. (2016). On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces. Journal of Global Optimization, 65(2) 329–349.
  • Bauschke, H.H., Lucet, Y., Phan, H. (2016). On the convexity of piecewise-defined functions. ESAIM: Control, Optimisation and Calculus of Variations, 22(3) 728–742.
  • Bausche, H., Bello Cruz, J., Nghia, T., Phan, H., Wang, X. (2016). Optimal rates of convergence of matrices with applications. Numerical Algorithms, 73(1) 33-76.
  • Bauschke, H.H., Dao, M.N., Noll, D., Phan, H. (2016). Proximal point algorithm, Douglas-Rachford algorithm and alternating projections: a case study. Journal of Convex Analysis, 23(1) 237-261.
  • Bausche, H., Koch, V., Phan, H. (2016). Stadium norm and Douglas-Rachford splitting: a new approach to road design optimization. 64 201-218.
  • Bauschke, H.H., Noll, D., Phan, H. (2015). Linear and strong convergence of algorithms involving averaged nonexpansive operators. Journal of Mathematical Analysis and Applications, 421(1) 1–20.
  • Bauschke, H.H., Luke, D.R., Phan, H., Wang, X. (2014). Restricted normal cones and sparsity optimization with affine constraints. Foundations of Computational Mathematics, 14(1) 63–83.
  • Bauschke, H.H., Phan, H., Wang, X. (2014). The Method of Alternating Relaxed Projections for two nonconvex sets. Vietnam Journal of Mathematics, 42 421-450 .
  • Bauschke, H.H., Bello-Cruz, J., Nghia, T., Phan, H., Wang, X. (2014). The rate of linear convergence of the Douglas-Rachford algorithm for subspaces is the cosine of the Friedrichs angle. Journal of Approximation Theory, 185 63-79.
  • Bauschke, H.H., Luke, D.R., Phan, H., Wang, X. (2013). Restricted normal cones and the method of alternating projections: applications. Set-Valued and Variational Analysis, 21(3) 475–501.
  • Bauschke, H.H., Luke, D.R., Phan, H., Wang, X. (2013). Restricted normal cones and the method of alternating projections: theory. Set-Valued and Variational Analysis, 21(3) 431–473.
  • Hoheisel, T., Kanzow, C., Mordukhovich, B.S., Phan, H. (2012). Generalized Newton’s method based on graphical derivatives. Nonlinear Analysis: Theory, Methods & Applications, 75(3) 1324–1340.
  • Mordukhovich, B.S., Phan, H. (2012). Tangential extremal principles for finite and infinite systems of sets II: applications to semi-infinite and multiobjective optimization. Mathematical programming, 136(1) 31–63.
  • Mordukhovich, B.S., Phan, H. (2012). Tangential extremal principles for finite and infinite systems of sets, I: basic theory. Mathematical programming, 136(1) 3–30.
  • Mordukhovich, B.S., Nam, N.M., Phan, H. (2012). Variational analysis of marginal functions with applications to bilevel programming. Journal of Optimization Theory and Applications, 152(3) 557–586.
  • Mordukhovich, B.S., Phan, H. (2011). Rated extremal principles for finite and infinite systems. Optimization, 60(7) 893–923.

Selected Contracts, Fellowships, Grants and Sponsored Research

  • Optimization in triangular network designs (2018), Sponsored Research - Autodesk, Inc.
    Phan, H.
  • Optimization in triangular network designs (2017), Sponsored Research - Autodesk, Inc.
    Phan, H.