Results 101 to 110 of about 2,134,101 (207)
Dual
IEEE Access, 2018 The optimal power flow (OPF) model is a central optimization problem in power system network. In this paper, we propose a novel approach to solve the OPF problem that has a convex objective function and non-convex feasible domain due to the constraints ...
Liulin Yang, Naishan Hang, Zhi Wei
doaj +1 more source
ROCCO: a robust method for detection of open chromatin via convex optimization. [PDF]
Bioinformatics, 2023 Hamilton NH, Furey TS.
europepmc +1 more source
Convex optimization for maximizing the degradation efficiency of chloroquine in a flow-by electrochemical reactor. [PDF]
J Solid State Electrochem, 2023 Regalado-Méndez A +3 more
europepmc +1 more source
Subgradient Techniques for Passivity Enforcement of Linear Device and Interconnect Macromodels [PDF]
, 2012 This paper presents a class of nonsmooth convex optimization methods for the passivity enforcement of reduced-order macromodels of electrical interconnects, packages, and linear passive devices.
Chinea, Alessandro +3 more
core +1 more source
Introduction to convex optimization [PDF]
, 2019 In this thesis, we touched upon the concept of convexity which is one of the essential topics in optimization. There exist many real world problems that mathematically modelling these problems and trying to solve them are the focus point of many ...
Tanoumand, Neda
core +1 more source
A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. [PDF]
Sensors (Basel), 2023 Lei T, Chintam P, Luo C, Liu L, Jan GE.
europepmc +1 more source
Convex optimization and lagrange multipliers
Mathematical Programming, 1978 The duality theorem of linear programming is used to prove several results on convex optimization. This is done without using separating hyerplane theorems.
openaire +2 more sources
Immunizing Conic Quadratic Optimization Problems Against Implementation Errors [PDF]
We show that the robust counterpart of a convex quadratic constraint with ellipsoidal implementation error is equivalent to a system of conic quadratic constraints.
Ben-Tal, A., Hertog, D. den
core
Robust Optimization of Currency Portfolios [PDF]
We study a currency investment strategy, where we maximize the return on a portfolio of foreign currencies relative to any appreciation of the corresponding foreign exchange rates. Given the uncertainty in the estimation of the future currency values, we
Berc Rustem +3 more
core
Parallel Continuous Non-Convex Optimization
, 1997 Parallel globed optimization is one very promising area of research since due to inherent difficulty of the problems it studies, only instances of limited dimension can be solved in reasonable computer time on conventional machines.
Athanasios Migdalas +5 more
core +1 more source