Results 31 to 40 of about 335,930 (310)
Some Inequalities of Generalized p-Convex Functions concerning Raina’s Fractional Integral Operators
Journal of Mathematics, 2021 Convex functions play an important role in pure and applied mathematics specially in optimization theory. In this paper, we will deal with well-known class of convex functions named as generalized p-convex functions.
Changyue Chen +2 more
doaj +1 more source
Digital Chemical Engineering, 2023 With increasing digitalization and vertical integration of chemical process systems, nonconvex optimization problems often emerge in chemical engineering applications, yet require specialized optimization techniques.
Yingwei Yuan, Kamil A. Khan
doaj +1 more source
Journal of Statistical Software, 2014 Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R .
Roger Koenker, Ivan Mizera
doaj +1 more source
Energy Informatics, 2021 Non-convex scheduling of energy production allows for more complex models that better describe the physical nature of the energy production system. Solutions to non-convex optimization problems can only be guaranteed to be local optima.
Jakob Bjørnskov +5 more
doaj +1 more source
Applied Sciences, 2016 Convex 1-D first-order total variation (TV) denoising is an effective method for eliminating signal noise, which can be defined as convex optimization consisting of a quadratic data fidelity term and a non-convex regularization term.
Cancan Yi, Yong Lv, Zhang Dang, Han Xiao
doaj +1 more source
Predictive online convex optimization [PDF]
Automatica, 2020 We incorporate future information in the form of the estimated value of future gradients in online convex optimization. This is motivated by demand response in power systems, where forecasts about the current round, e.g., the weather or the loads' behavior, can be used to improve on predictions made with only past observations.
Lesage-Landry, Antoine +2 more
openaire +4 more sources
Convex optimization–based multi-user detection in underwater acoustic sensor networks
International Journal of Distributed Sensor Networks, 2018 Multi-carrier code-division multiple access is an important technical means for high-performance underwater acoustic sensor networks. Nevertheless, severe multiple access interference is a huge challenge.
Jianping Wang +4 more
doaj +1 more source
Aerospace, 2023 This paper presents new techniques for the trajectory design and control of nonlinear dynamical systems. The technique uses a convex polytope to bound the range of the nonlinear function and associates with each vertex an auxiliary linear system ...
Olli Jansson, Matthew W. Harris
doaj +1 more source
Convex Optimization of Bioprocesses
IEEE Transactions on Automatic Control, 2022 We optimize a general model of bioprocesses, which is nonconvex due to the microbial growth in the biochemical reactors. We formulate a convex relaxation and give conditions guaranteeing its exactness in both the transient and steady state cases. When the growth kinetics are modeled by the Monod function under constant biomass or the Contois function ...
Josh A. Taylor +2 more
openaire +4 more sources
A Majorization-Minimization Approach to Design of Power Transmission Networks
, 2010 We propose an optimization approach to design cost-effective electrical power transmission networks. That is, we aim to select both the network structure and the line conductances (line sizes) so as to optimize the trade-off between network efficiency ...
Chertkov, Michael, Johnson, Jason K.
core +1 more source