Suchergebnisse - "Mathematical Programming/Optimization"

A novel projection-based method for monotone equations with Aitken Δ2 acceleration and its application to sparse signal restoration: A novel projection-based method for monotone equations with aitken \(\Delta^2\) acceleration and its application to sparse signal restoration

Autoren: Ahmad Kamandi

Quelle: Applied Numerical Mathematics. 213:1-11

Schlagwörter: large scale systems, projection based method, signal restoration, aitken \(\Delta^2\) process, systems of monotone equations, Numerical methods for mathematical programming, optimization and variational techniques, Mathematical programming, Nonlinear algebraic or transcendental equations, normalized negative residual

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8034914
https://doi.org/10.1016/j.apnum.2025.02.013

Grid is Good. Adaptive Refinement Algorithms for Off-the-Grid Total Variation Minimization: Grid is good. Adaptive refinement algorithms for off-the-grid total variation minimization

Autoren: Flinth, Axel de Gournay, Frédéric Weiss, Pierre

Quelle: Open Journal of Mathematical Optimization. 6:1-27

Schlagwörter: Total variation, measure spaces, Beräkningsmatematik, Communication, information, 0211 other engineering and technologies, Mathematical programming, Frank-Wolfe, 02 engineering and technology, Computational Mathematics, Frank–Wolfe, total variation, Optimization and Control (math.OC), Numerical methods for mathematical programming, optimization and variational techniques, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Mathematics - Optimization and Control

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: http://arxiv.org/abs/2301.07555
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-242250

Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior optimal solution sampling: Hyper-differential sensitivity analysis with respect to model discrepancy: posterior optimal solution sampling

Autoren: Hart, Joseph Waanders, Bart van Bloemen

Quelle: Foundations of Data Science. 7:99-133

Schlagwörter: Numerical optimization and variational techniques, post-optimality sensitivity analysis, Numerical methods for mathematical programming, optimization and variational techniques, Bayesian analysis, FOS: Mathematics, PDE-constrained optimization, model discrepancy, Probabilistic methods, stochastic differential equations, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), 0101 mathematics, hyper-differential sensitivity analysis, 01 natural sciences

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2402.10957
https://zbmath.org/7985324
https://doi.org/10.3934/fods.2024027

Efficient image restoration via non-convex total variation regularization and ADMM optimization

Autoren: Narendra Kumar Munnu Sonkar Gaurav Bhatnagar

Quelle: Applied Mathematical Modelling. 132:428-453

Schlagwörter: non-convex optimization, total variation, image deconvolution, Numerical methods for mathematical programming, optimization and variational techniques, Communication, information, alternating direction method of multipliers, sparsity, Mathematical programming, image restoration, \( l_{\frac{ 1}{ 2}}\) regularization

Dateibeschreibung: application/xml

An adaptive fractional-order regularization primal-dual image denoising algorithm based on non-convex function

Autoren: Minmin Li Shaojiu Bi Guangcheng Cai

Quelle: Applied Mathematical Modelling. 131:67-83

Schlagwörter: image denoising, Numerical methods for mathematical programming, optimization and variational techniques, Communication, information, primal-dual algorithm, Mathematical programming, non-convex function, diffusion coefficient, complexity analysis, fractional-order

Dateibeschreibung: application/xml

A New Golden Ratio Inertial Algorithm with Two Types of Self Adaptive Step Sizes for Solving Nonlinear Inclusion Problems: A new golden ratio inertial algorithm with two types of self adaptive step sizes for solving nonlinear inclusion problems

Autoren: Zhong-bao Wang Xing-yu Chen Zhang-you Chen

Quelle: Journal of Scientific Computing. 103

Schlagwörter: Numerical methods for mathematical programming, optimization and variational techniques, nonlinear inclusion problem, convergence and convergence rates, Mathematical programming, golden ratio algorithm, self adaptive step sizes, Equations and inequalities involving nonlinear operators, inertial accelerations

Dateibeschreibung: application/xml

Linewalker: line search for black box derivative-free optimization and surrogate model construction

Autoren: Papageorgiou, Dimitri J. Kronqvist, Jan Kumaran, Krishnan

Quelle: Optimization and Engineering. 25:2229-2293

Schlagwörter: derivative-free optimization, Optimization and Control (math.OC), Numerical methods for mathematical programming, optimization and variational techniques, active learning, tabu search, FOS: Mathematics, Mathematical programming, surrogate model, black-box optimization, Mathematics - Optimization and Control, Operations research, mathematical programming, Gaussian process regression

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2307.10463

A multigrid assisted reanalysis method for accelerated heat transfer topology optimization

Autoren: Jichao Yin Shuhao Li Daozhen Guo et al.

Quelle: Applied Mathematical Modelling. 125:402-423

Schlagwörter: Numerical and other methods in solid mechanics, Numerical methods for mathematical programming, optimization and variational techniques, maximum temperature minimization, Optimization problems in solid mechanics, efficiency improvement, thermal compliance minimization, multigrid assisted reanalysis, topology optimization

Dateibeschreibung: application/xml

Neurodynamic optimization algorithm for split equality problems and application to sparse signal recovery

Autoren: Binghao OuYang Yong Wang Xingxing Ju et al.

Quelle: Communications in Nonlinear Science and Numerical Simulation. 147:108822

Schlagwörter: Numerical methods for mathematical programming, optimization and variational techniques, sparse signal recovery, Nonlinear operators and their properties, Mathematical programming, fixed-time convergence, sparse image reconstruction, neurodynamic optimization algorithm, split equality problems

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8035187
https://doi.org/10.1016/j.cnsns.2025.108822

An accelerated spectral CG based algorithm for optimization techniques on Riemannian manifolds and its comparative evaluation

Autoren: Chunming Tang Wancheng Tan Yongshen Zhang et al.

Quelle: Journal of Computational and Applied Mathematics. 462:116482

Schlagwörter: global convergence, linear convergence rate, Numerical methods in optimal control, Numerical methods for mathematical programming, optimization and variational techniques, conjugate gradient method, Mathematical programming, accelerated method, Riemannian optimization

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7988019
https://doi.org/10.1016/j.cam.2024.116482

An outer space branch-reduction-bound algorithm using second-order cone relaxation with regional reduction strategy for solving equivalent generalized linear multiplicative programming

Autoren: Xiaoli Huang Yuelin Gao Bo Zhang et al.

Quelle: Journal of Computational and Applied Mathematics. 462:116481

Schlagwörter: Numerical methods for mathematical programming, optimization and variational techniques, global optimization, reduction technique, Mathematical programming, branch-and-bound, second-order cone relaxation, Operations research, mathematical programming, linear multiplicative programming

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7988018
https://doi.org/10.1016/j.cam.2024.116481

Selection of active elements for morphing tensegrities based on constructing basis for column space of sensitivity matrix

Autoren: Liu, Yuhang Deng, Hua Zhu, Dexi

Quelle: Applied Mathematical Modelling. 119:257-272

Schlagwörter: sensitivity matrix, Numerical methods for mathematical programming, optimization and variational techniques, length actuation, column space, tensegrity, morphing structure, Equilibrium (steady-state) problems in solid mechanics, Thin bodies, structures, active element

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8019317
https://doi.org/10.1016/j.apm.2023.02.030

Intensity inhomogeneity image segmentation based on the gradient-based spaces and the prior constraint

Autoren: Zhi-Feng Pang Jinyan Yao Baoli Shi et al.

Quelle: Applied Mathematical Modelling. 119:605-625

Schlagwörter: prior constraint, Computing methodologies and applications, Numerical methods for mathematical programming, optimization and variational techniques, iterative convolution-thresholding method, Mathematical programming, alternating direction method of multipliers (ADMM), intensity inhomogeneity image segmentation, gradient-based model

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8019337
https://doi.org/10.1016/j.apm.2023.02.024

Weak enforcement of interface continuity and generalized periodicity in high‐order electromechanical problems

Autoren: Barceló‐Mercader, Jordi Codony, David Fernández‐Méndez, Sonia et al.

Weitere Verfasser: Barceló‐Mercader, Jordi Codony, David Fernández‐Méndez, Sonia et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
International Journal for Numerical Methods in Engineering

Schlagwörter: Periodicity, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, Classificació AMS::65 Numerical analysis::65K Mathematical programming, Matemàtiques i estadística::Anàlisi numèrica [Àrees temàtiques de la UPC], Flexoelectricity, Unfitted discretization, Immersed boundary, High-order PDEs, Material interfaces, Strength of materials, 0101 mathematics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics, Resistència de materials, 65 Numerical analysis::65K Mathematical programming, optimization and variational techniques [Classificació AMS], Anàlisi numèrica, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica, Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics [Àrees temàtiques de la UPC], Classificació AMS::65 Numerical analysis::65K Mathematical programming, optimization and variational techniques, Classificació AMS::74 Mechanics of deformable solids::74S Numerical methods, Nitsche's method, 74 Mechanics of deformable solids::74S Numerical methods [Classificació AMS], optimization and variational techniques, Numerical analysis

Dateibeschreibung: application/pdf

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nme.6882
https://onlinelibrary.wiley.com/doi/10.1002/nme.6882?af=R
https://hdl.handle.net/2117/363222
https://doi.org/10.1002/nme.6882

Nonintrusive reduced order model for parametric solutions of inertia relief problems

Autoren: Xabier Larráyoz Fabiola Cavaliere Pedro Díez et al.

Weitere Verfasser: Xabier Larráyoz Fabiola Cavaliere Pedro Díez et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
International Journal for Numerical Methods in Engineering

Schlagwörter: 74 Mechanics of deformable solids::74P Optimization [Classificació AMS], Proper generalized decomposition, Optimització matemàtica, Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC], 02 engineering and technology, Nonintrusive, 01 natural sciences, Classificació AMS::65 Numerical analysis::65K Mathematical programming, Matemàtiques i estadística::Anàlisi numèrica [Àrees temàtiques de la UPC], Shape optimization, 0203 mechanical engineering, FOS: Mathematics, Mathematics - Numerical Analysis, Strength of materials, 0101 mathematics, Resistència de materials, 65 Numerical analysis::65K Mathematical programming, optimization and variational techniques [Classificació AMS], 49K Necessary conditions and sufficient conditions for optimality [optimization], Matemàtiques i estadística::Anàlisi matemàtica::Càlcul de variacions [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi matemàtica::Càlcul de variacions, Anàlisi numèrica, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica, Reduced order model, Classificació AMS::65 Numerical analysis::65K Mathematical programming, optimization and variational techniques, Mathematical optimization, Inertia relief, Classificació AMS::74 Mechanics of deformable solids::74P Optimization, Classificació AMS::49 Calculus of variations and optimal control, optimization::49K Necessary conditions and sufficient conditions for optimality, Numerical Analysis (math.NA), 49 Calculus of variations and optimal control [Classificació AMS], Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, optimization and variational techniques, Numerical analysis

Dateibeschreibung: application/pdf

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nme.6702
http://arxiv.org/abs/2012.01961
https://arxiv.org/abs/2012.01961
http://ui.adsabs.harvard.edu/abs/2021IJNME.122.4270C/abstract
https://cronfa.swan.ac.uk/Record/cronfa56712/Download/56712__20585__c6b2a0261fb247eb88e8e9fb1be4489b.pdf
https://upcommons.upc.edu/handle/2117/355952?show=full
https://onlinelibrary.wiley.com/doi/10.1002/nme.6702
https://arxiv.org/pdf/2012.01961
https://cronfa.swan.ac.uk/Record/cronfa56712/Download/56712__20585__c6b2a0261fb247eb88e8e9fb1be4489b.pdf
https://hdl.handle.net/2117/355952
https://doi.org/10.1002/nme.6702
https://arxiv.org/pdf/2012.01961.pdf

Using GPS tracking data to validate route choice in OD trips within dense urban networks

Autoren: Montero Mercadé, Lídia Ros Roca, Xavier Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa et al.

Weitere Verfasser: Montero Mercadé, Lídia Ros Roca, Xavier Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Astrofísica, Anàlisi numèrica, Classificació AMS::85 Astronomy and astrophysics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica, Classificació AMS::65 Numerical analysis::65K Mathematical programming, optimization and variational techniques, 85 Astronomy and astrophysics [Classificació AMS], 05 social sciences, Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC], Operations research, Investigació operativa, Numerical analysis--Simulation methods, separated by semicolons, Matemàtiques i estadística::Investigació operativa [Àrees temàtiques de la UPC], Classificació AMS::65 Numerical analysis::65K Mathematical programming, Classificació AMS::90 Operations research, mathematical programming::90B Operations research and management science, Matemàtiques i estadística::Anàlisi numèrica [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, Astronomy and astrophysics, 90 Operations research, mathematical programming::90B Operations research and management science [Classificació AMS], 11. Sustainability, 0502 economics and business, Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa, Type your keywords here, 65 Numerical analysis::65K Mathematical programming, optimization and variational techniques [Classificació AMS], optimization and variational techniques

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/2117/338211
https://hdl.handle.net/2117/338211
http://hdl.handle.net/2117/334604
https://upcommons.upc.edu/handle/2117/334604
https://www.sciencedirect.com/science/article/pii/S2352146520303355
https://upcommons.upc.edu/bitstream/2117/334604/1/EWGT2019_full_paper_35.pdf
https://hdl.handle.net/2117/334604
https://doi.org/10.1016/j.trpro.2020.03.136

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction

Autoren: Yizun Lin Yongxin He C Ross Schmidtlein et al.

Quelle: Inverse Problems. 41:045002

Schlagwörter: positron emission tomography, total variation, Optimization and Control (math.OC), Numerical methods for mathematical programming, optimization and variational techniques, Communication, information, 65J22, 65K05, 90C25, FOS: Mathematics, Mathematical programming, accelerated preconditioned proximal gradient algorithm, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), image reconstruction, Mathematics - Optimization and Control

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2409.13344
https://zbmath.org/8034684
https://doi.org/10.1088/1361-6420/adbd6a

A step function based recursion method for 0/1 deep neural networks

Autoren: Hui Zhang Shenglong Zhou Geoffrey Ye Li et al.

Quelle: Applied Mathematics and Computation. 488:129129

Schlagwörter: Artificial intelligence, step function, Numerical methods for mathematical programming, optimization and variational techniques, separability, Mathematical programming, 0/1 DNNs, recursion method

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8030374
https://doi.org/10.1016/j.amc.2024.129129

Randomized block coordinate descent method for linear ill-posed problems

Autoren: Qinian Jin Duo Liu

Quelle: Inverse Problems. 41:035012

Schlagwörter: convergence, Numerical analysis in abstract spaces, Mathematical programming, imaging, 65J20, 65J22, 65J10, 94A08, Numerical Analysis (math.NA), Optimization and Control (math.OC), Numerical methods for mathematical programming, optimization and variational techniques, FOS: Mathematics, linear ill-posed problems, Mathematics - Numerical Analysis, randomized block coordinate descent method, convex regularization term, Mathematics - Optimization and Control

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2405.13340

Parametric level-sets enhanced to improve reconstruction (PaLEnTIR)

Autoren: Ege Ozsar Misha Kilmer Eric de Sturler et al.

Quelle: Inverse Problems. 41:025004

Schlagwörter: FOS: Computer and information sciences, reconstruction, Computer Vision and Pattern Recognition (cs.CV), Numerical linear algebra, Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Mathematical programming, parametric, piecewise constant, 02 engineering and technology, Numerical Analysis (math.NA), tomography, Electrical Engineering and Systems Science - Image and Video Processing, Level-set, 01 natural sciences, 65F22, 65F99, 65N21, Numerical methods for mathematical programming, optimization and variational techniques, PaLS, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, level-set, Mathematics - Numerical Analysis, 0101 mathematics, Parametric

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: http://arxiv.org/abs/2204.09815