Recent advances in DC programming and DCA
T Pham Dinh, HA Le Thi - Transactions on computational intelligence XIII, 2014 - Springer
Difference of Convex functions (DC) Programming and DC Algorithm (DCA) constitute the
backbone of Nonconvex Programming and Global Optimization. The paper is devoted to the …
backbone of Nonconvex Programming and Global Optimization. The paper is devoted to the …
DC programming and DCA: thirty years of developments
HA Le Thi, T Pham Dinh - Mathematical Programming, 2018 - Springer
The year 2015 marks the 30th birthday of DC (Difference of Convex functions) programming
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …
Variations and extension of the convex–concave procedure
T Lipp, S Boyd - Optimization and Engineering, 2016 - Springer
We investigate the convex–concave procedure, a local heuristic that utilizes the tools of
convex optimization to find local optima of difference of convex (DC) programming problems …
convex optimization to find local optima of difference of convex (DC) programming problems …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
[PDF][PDF] Convex analysis approach to DC programming: theory, algorithms and applications
This paper is devoted to a thorough study on convex analysis approach to dc (difference of
convex functions) programming and gives the State of the Art. Main results about dc duality …
convex functions) programming and gives the State of the Art. Main results about dc duality …
Communications, caching, and computing for mobile virtual reality: Modeling and tradeoff
Virtual reality (VR) over wireless is emerging as an important use case of 5G networks. Fully-
immersive VR experience requires the wireless delivery of huge data at ultra-low latency …
immersive VR experience requires the wireless delivery of huge data at ultra-low latency …
The DC (difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems
The DC programming and its DC algorithm (DCA) address the problem of minimizing a
function f= g− h (with g, h being lower semicontinuous proper convex functions on R n) on …
function f= g− h (with g, h being lower semicontinuous proper convex functions on R n) on …
Residual weighted learning for estimating individualized treatment rules
Personalized medicine has received increasing attention among statisticians, computer
scientists, and clinical practitioners. A major component of personalized medicine is the …
scientists, and clinical practitioners. A major component of personalized medicine is the …
Open issues and recent advances in DC programming and DCA
HA Le Thi, T Pham Dinh - Journal of Global Optimization, 2024 - Springer
DC (difference of convex functions) programming and DC algorithm (DCA) are powerful
tools for nonsmooth nonconvex optimization. This field was created in 1985 by Pham Dinh …
tools for nonsmooth nonconvex optimization. This field was created in 1985 by Pham Dinh …
A DC optimization algorithm for solving the trust-region subproblem
This paper is devoted to difference of convex functions (dc) optimization: dc duality, local
and global optimality conditions in dc programming, the dc algorithm (DCA), and its …
and global optimality conditions in dc programming, the dc algorithm (DCA), and its …