Suchergebnisse - "mathematical programming/optimization"

A mathematical programming optimization framework for wind farm design considering multi-directional wake effect

Autoren: Javiera Vergara-Zambrano Styliani Avraamidou

Quelle: Systems and Control Transactions. 3:598-603

Schlagwörter: 7. Clean energy

A hybrid machine learning-mathematical programming optimization approach for municipal solid waste management during the pandemic

Autoren: Rogelio Ochoa-Barragán Aurora del Carmen Munguía-López José María Ponce-Ortega

Quelle: Environ Dev Sustain

Schlagwörter: 11. Sustainability, Article, 12. Responsible consumption

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37362987

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

A Mixed Integer Mathematical Programming Optimization Model for the NP-Hard Industrial Processes Scheduling Problem

Autoren: Min Huang Xing Wei Wang Hua Ping Wu

Quelle: Advanced Materials Research. 645:290-294

Schlagwörter: 8. Economic growth, 0211 other engineering and technologies, 02 engineering and technology

Zugangs-URL: https://www.scientific.net/AMR.645.290
https://zh.scientific.net/AMR.645.290
http://zh.scientific.net/AMR.645.290

Using Mathematical Programming Optimization Work Exchange Networks

Autoren: Lei Wang Wen Wei Zhang Ren Jie Shen

Quelle: Advanced Materials Research. :612-616

Schlagwörter: 02 engineering and technology, 0204 chemical engineering, 0210 nano-technology, 6. Clean water

Zugangs-URL: https://www.scientific.net/AMR.889-890.612

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

Finding the common point of a system of convex sets and solving mathematical-programming optimization problems by the orthogonal descent method

Autoren: M. B. Shchepakin

Quelle: Cybernetics and Systems Analysis. 29:72-77

Schlagwörter: Convex programming, 0211 other engineering and technologies, orthogonal descent method, common point of a linear manifold and an arbitrary convex set, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Dateibeschreibung: application/xml

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/BF01130091.pdf
https://link.springer.com/article/10.1007/BF01130091

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

Process Systems Engineering, 3. Mathematical Programming (Optimization)

Autoren: Urmila M. Diwekar Angelo Lucia Luke E. K. Achenie et al.

Quelle: Ullmann's Encyclopedia of Industrial Chemistry ISBN: 9783527306732

Zugangs-URL: https://onlinelibrary.wiley.com/doi/full/10.1002/14356007.o22_o07
https://onlinelibrary.wiley.com/doi/10.1002/14356007.o22_o07/abstract
http://www.nt.ntnu.no/users/skoge/prost/proceedings/ullmann-2012-pse/PSE-3%20Mathematical%20Programming%20(Optimization)%20o22_o07.pdf

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

Mixed-Integer Mathematical Programming Optimization Models and Algorithms For An Oil Tanker Routing and Scheduling Problem

Autoren: Mohammed Al-Yakoob, Salem

Thesis Advisors: Mathematics, Sherali, Hanif D., Herdman, Terry L., Wheeler, Robert L., Burns, John A., Johnson, Lee W.

Schlagwörter: mixed-integer programming, aggregation, ship scheduling

Dateibeschreibung: application/pdf

Relation: etd.pdf

Verfügbarkeit: http://hdl.handle.net/10919/30368
http://scholar.lib.vt.edu/theses/available/etd-255314202974780/

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

A hybrid machine learning-mathematical programming optimization approach for municipal solid waste management during the pandemic.

Autoren: Ochoa-Barragán, Rogelio Munguía-López, Aurora del Carmen Ponce-Ortega, José María

Quelle: Environment, Development & Sustainability; Jul2024, Vol. 26 Issue 7, p17653-17672, 20p

Schlagwörter: SOLID waste management, MACHINE learning, MATHEMATICAL programming, COVID-19 pandemic, WASTE management, PANDEMICS, MATHEMATICAL optimization

Geografische Kategorien: NEW York (N.Y.)

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