Výsledky vyhledávání - Mixed variable programming

Predictors of University Students' Intentions to Enroll in Computer Programming Courses: A Mixed-Method Investigation

Autoři: Jiali Zheng Melissa Duffy Ge Zhu

Zdroj: Discover Education. 2024 3.

Peer Reviewed: Y

Page Count: 17

Descriptors: Computer Science Education, Programming, Predictor Variables, Enrollment, Required Courses, College Students, Foreign Countries, Intention, Enrollment Influences, Peer Relationship, Teacher Effectiveness, Experience

Geografický termín: China

CALCULATION OF PENALTIES IN ALGORITHM OF MIXED INTEGER PROGRAMMING SOLVING WITH REVISED DUAL SIMPLEX METHOD FOR BOUNDED VARIABLES

Autoři: Wei, Yi-ming Hu, Qing-huai

Zdroj: Journal of Computational Mathematics, 1999 Sep 01. 17(5), 545-552.

Přístupová URL adresa: https://www.jstor.org/stable/43692810

A Group Rotate-Vector Algorithm for Mixed-Variable Optimization Problems

Autoři: Zhongming Li Lutao Yan Haiyuan Li a další

Zdroj: IEEE Access, Vol 12, Pp 184629-184643 (2024)

Témata: Mixed-variable optimization, 0-1 programming, rotate-vector, heuristic algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10778437/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/0c6776892ba04b4682e5aeaa0df5aa46

An Algorithm Model for Mixed Variable Programming: An algorithm model for mixed variable programming

Autoři: LUCIDI, Stefano PICCIALLI, Veronica M. Sciandrone a další

Přispěvatelé: LUCIDI, Stefano PICCIALLI, Veronica M. Sciandrone a další

Zdroj: SIAM journal on optimization
14 (2005): 1057–1084.
info:cnr-pdr/source/autori:Lucidi, S.; Piccialli, V.; Sciandrone, M./titolo:An algorithm model for mixed variable programming/doi:/rivista:SIAM journal on optimization (Print)/anno:2005/pagina_da:1057/pagina_a:1084/intervallo_pagine:1057–1084/volume:14

Témata: Settore MAT/09 - RICERCA OPERATIVA, nonlinear optimization, mixed variable programming, derivative-free methods, 0211 other engineering and technologies, 02 engineering and technology, nonlinear optimization, Numerical mathematical programming methods, mixed variable programming, Nonlinear programming, Mixed integer programming, 0202 electrical engineering, electronic engineering, information engineering, Derivative-free methods and methods using generalized derivatives, derivative-free methods

Popis souboru: application/xml; application/pdf

Přístupová URL adresa: https://zbmath.org/2206216
https://doi.org/10.1137/s1052623403429573
https://publications.cnr.it/doc/7144
http://www.cnr.it/prodotto/i/7144
http://www.dis.uniroma1.it/~or/FIRB/TR17-02.pdf
https://doi.org/10.1137/S1052623403429573
https://art.torvergata.it/handle/2108/42471
https://dblp.uni-trier.de/db/journals/siamjo/siamjo15.html#LucidiPS05
http://www.optimization-online.org/DB_FILE/2003/06/665.pdf
https://epubs.siam.org/doi/abs/10.1137/S1052623403429573
https://hdl.handle.net/20.500.14243/454973
https://hdl.handle.net/2158/256052

Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey

Autoři: Talbi, Prof. El-Ghazali El-Ghazali, TALBI

Přispěvatelé: Talbi, Prof. El-Ghazali El-Ghazali, TALBI

Témata: Mixed-variable optimization problem, Decomposition-based optimization, Mixed variable programming, Variable space design, Metaheuristics, [INFO] Computer Science [cs], Variable-size mixed-variable optimization problem, Mixed optimization

Popis souboru: application/pdf

Přístupová URL adresa: https://inria.hal.science/hal-04381240v1/document
https://inria.hal.science/hal-04381240v1

Unit commitment in oligopolistic markets by nonlinear mixed variable programming

Autoři: Casolino G. M. Liuzzi G. Losi A.

Zdroj: Optimization and engineering
11 (2010): 213–245. doi:10.1007/s11081-009-9102-6
info:cnr-pdr/source/autori:Casolino, G.M.; Liuzzi, G.; Losi, A./titolo:Unit commitment in oligopolistic markets by nonlinear mixed variable programming/doi:10.1007%2Fs11081-009-9102-6/rivista:Optimization and engineering (Print)/anno:2010/pagina_da:213/pagina_a:245/intervallo_pagine:213–245/volume:11

Témata: Mixed variable programming, Oligopolistic markets, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Risk aversion, 02 engineering and technology, Unit commitment

Popis souboru: application/pdf

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2Fs11081-009-9102-6.pdf
https://link.springer.com/article/10.1007/s11081-009-9102-6
http://www.iasi.cnr.it/~liuzzi/papers/unitcom_OPTE.pdf
https://doi.org/10.1007/s11081-009-9102-6
https://hdl.handle.net/20.500.14243/170356

Pattern Search Algorithms for Mixed Variable Programming: Pattern search algorithms for mixed variable programming

Autoři: Charles Audet John E. Dennis

Zdroj: SIAM Journal on Optimization. 11:573-594

Témata: derivative-free optimization, Numerical mathematical programming methods, mixed variable programming, Mixed integer programming, bound constrained optimization, Other numerical methods in calculus of variations, 0211 other engineering and technologies, Derivative-free methods and methods using generalized derivatives, 02 engineering and technology, pattern search algorithm, convergence analysis

Popis souboru: application/xml

Přístupová URL adresa: https://scholarship.rice.edu/bitstream/1911/101908/1/TR99-02.pdf
https://zbmath.org/1578966
https://doi.org/10.1137/s1052623499352024

Classification Accuracy in Discriminant Analysis: A Mixed Integer Programming Approach

Autoři: Glen, J. J.

Zdroj: The Journal of the Operational Research Society, 2001 Mar 01. 52(3), 328-339.

Přístupová URL adresa: https://www.jstor.org/stable/254070

OPTIMIZING ψ-LEARNING VIA MIXED INTEGER PROGRAMMING

Autoři: Liu, Yufeng Wu, Yichao

Zdroj: Statistica Sinica, 2006 Apr 01. 16(2), 441-457.

Přístupová URL adresa: https://www.jstor.org/stable/24307553

Mixed Binary Interval Goal Programming

Zdroj: The Journal of the Operational Research Society, 2006 Apr 01. 57(4), 469-473.

Přístupová URL adresa: https://www.jstor.org/stable/4102399

Lot Streaming with Variable Sublots: An Integer Programming Formulation

Autoři: Feldmann, M.

Zdroj: The Journal of the Operational Research Society, 2006 Mar 01. 57(3), 296-303.

Přístupová URL adresa: https://www.jstor.org/stable/4102426

A Comparison of Mixed-Integer Programming Models for Nonconvex Piecewise Linear Cost Minimization Problems

Autoři: Gendron, Bernard Magnanti, Thomas L.

Zdroj: Management Science, 2003 Sep 01. 49(9), 1268-1273.

Přístupová URL adresa: https://www.jstor.org/stable/4134040

Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey

Autoři: Talbi, El-Ghazali El-Ghazali, TALBI

Přispěvatelé: Talbi, El-Ghazali El-Ghazali, TALBI

Zdroj: Swarm and Evolutionary Computation. 89:101642

Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Discrete Mathematics (cs.DM), Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO] Computer Science [cs], Metaheuristics, Mixed-variable optimization problem, Variable-size mixed-variable optimization problem, Mixed optimization, Mixed variable programming, Variable-space design, Decomposition-based optimization, 7. Clean energy, Computer Science - Discrete Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2401.03880
https://hal.science/hal-04901075v1
https://doi.org/10.1016/j.swevo.2024.101642

Hydrocarbon Field Size Distributions: A Case Study in Mixed Integer Nonlinear Programming

Autoři: Greenman, J. V. Fryer, M. J.

Zdroj: The Journal of the Operational Research Society, 1996 Dec 01. 47(12), 1433-1442.

Přístupová URL adresa: https://www.jstor.org/stable/3010601

Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey ; Metaheuristiques pour l'optimisation mixte: une vue unifiée

Autoři: Talbi, Prof. El-Ghazali Optimisation de grande taille et calcul large échelle (BONUS) Centre Inria de l'Université de Lille a další

Přispěvatelé: Talbi, Prof. El-Ghazali Optimisation de grande taille et calcul large échelle (BONUS) Centre Inria de l'Université de Lille a další

Zdroj: https://inria.hal.science/hal-04381240 ; Université de Lille; INRIA Lille Nord Europe; CRISTAL; BONUS. 2024, pp.55.

Témata: Metaheuristics, Mixed-variable optimization problem, Variable-size mixed-variable optimization problem, Mixed optimization, Mixed variable programming, Variable space design, Decomposition-based optimization, [INFO]Computer Science [cs]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2401.03880; ARXIV: 2401.03880

Dostupnost: https://inria.hal.science/hal-04381240
https://inria.hal.science/hal-04381240v1/document
https://inria.hal.science/hal-04381240v1/file/article.pdf

Filter-based genetic algorithm for mixed variable programming

Autoři: Alaa Fahim Abdel-Rahman Hedar

Zdroj: Numerical Algebra, Control & Optimization. 1:99-116

Témata: 0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

Přístupová URL adresa: http://ftp.aimsciences.org/article/doi/10.3934/naco.2011.1.99
https://www.aimsciences.org/article/doi/10.3934/naco.2011.1.99

Cognitive Enhancement through Competency-Based Programming Education: A 12-Year Longitudinal Study

Autoři: Dunhong Yao Jing Lin

Zdroj: Education and Information Technologies. 2025 30(14):20347-20383.

Peer Reviewed: Y

Page Count: 37

Descriptors: Competency Based Education, Computer Science Education, Programming, Longitudinal Studies, Undergraduate Students, Foreign Countries, Cognitive Ability, Intelligence Tests, Computation, Thinking Skills, Problem Solving, Cognitive Development, Learner Engagement, Predictor Variables, Student Projects, Student Participation, Innovation, STEM Education

Geografický termín: China

Assessment and Survey Identifiers: Raven Progressive Matrices

A derivative-based algorithm for a particular class of mixed variable optimization problems

Autoři: LUCIDI, Stefano V. PICCIALLI Lucidi, S a další

Přispěvatelé: LUCIDI, Stefano V. PICCIALLI Lucidi, S a další

Zdroj: Optimization methods & software
19 (2004): 371–387.
info:cnr-pdr/source/autori:Lucidi, S.; Piccialli, V./titolo:A derivative based algorithm for a particular class of mixed variable optimization problems/doi:/rivista:Optimization methods & software (Print)/anno:2004/pagina_da:371/pagina_a:387/intervallo_pagine:371–387/volume:19

Témata: Large-scale unconstrained optimization, Settore MAT/09 - RICERCA OPERATIVA, Nonlinear programming, Mixed variable programming, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, derivative-free optimization, mixed integer optimization

Popis souboru: application/pdf

Přístupová URL adresa: https://publications.cnr.it/doc/7218
http://www.cnr.it/prodotto/i/7218
http://www.dis.uniroma1.it/~or/FIRB/OMS2004.pdf
https://dblp.uni-trier.de/db/journals/oms/oms19.html#LucidiP04
https://www.tandfonline.com/doi/full/10.1080/10556780410001654197
https://core.ac.uk/display/53832931
https://art.torvergata.it/handle/2108/42468
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000222110300009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a
https://doi.org/10.1080/10556780410001654197
https://hdl.handle.net/11573/365159

Mathematical programming models to design and analyse efficient and robust raiway freight transport networks

Autoři: Rosell Camps, Francisca

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa

Thesis Advisors: Codina Sancho, Esteve

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Àrees temàtiques de la UPC::Matemàtica i estadística

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/689046
https://dx.doi.org/10.5821/dissertation-2117-395072

Reduce-and-Split Cuts: Improving the Performance of Mixed-Integer Gomory Cuts

Autoři: Andersen, Kent Cornuéjols, Gérard Li, Yanjun

Zdroj: Management Science, 2005 Nov 01. 51(11), 1720-1732.

Přístupová URL adresa: https://www.jstor.org/stable/20110458