Results 31 to 40 of about 326,649 (319)

Automatic differentiation rules for Tsoukalas–Mitsos convex relaxations in global process optimization

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

A Novel Mechanical Fault Diagnosis Scheme Based on the Convex 1-D Second-Order Total Variation Denoising Algorithm

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

Optimization of district heating production with thermal storage using mixed-integer nonlinear programming with a new initialization approach

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, Lasse Kappel Mortensen, Konstantin Filonenko, Hamid Reza Shaker, Muhyiddine Jradi, Christian Veje   +5 more
doaj   +1 more source

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, Shujing Zhang, Wei Chen, Dechuan Kong, Zhou Yu   +4 more
doaj   +1 more source

Convex Optimization-Based Techniques for Trajectory Design and Control of Nonlinear Systems with Polytopic Range

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

Quasi-convex optimization

Journal of Mathematical Analysis and Applications, 1986
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Convex Discrete Optimization [PDF]

, 2008
We develop an algorithmic theory of convex optimization over discrete sets. Using a combination of algebraic and geometric tools we are able to provide polynomial time algorithms for solving broad classes of convex combinatorial optimization problems and convex integer programming problems in variable dimension. We discuss some of the many applications
openaire   +2 more sources

Distributed strongly convex optimization [PDF]

2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012
18 pages single column draftcls format, 1 figure, Submitted to Allerton ...
Konstantinos I. Tsianos, Michael G. Rabbat   +1 more
openaire   +3 more sources

Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization

, 2011
Relative to the large literature on upper bounds on complexity of convex optimization, lesser attention has been paid to the fundamental hardness of these problems.
Agarwal, Alekh, Bartlett, Peter L., Ravikumar, Pradeep, Wainwright, Martin J.   +3 more
core   +5 more sources

Convex Formulations for Antenna Array Pattern Optimization Through Linear, Quadratic, and Second-Order Cone Programming

Mathematics
This work presents a comprehensive study on formulations for the radiation pattern design of antenna arrays through convex optimization techniques, with a focus on linear, quadratic, and second-order cone programming. The proposed approaches heavily rely
Álvaro F. Vaquero, Juan Córcoles
doaj   +1 more source