Výsledky vyhledávání - "composite objective functions"

Quasi-convexity, strictly quasi-convexity and pseudo-convexity of composite objective functions

Autoři: Bernard Bereanu

Zdroj: Revue française d'automatique informatique recherche opérationnelle. Mathématique. 6:15-26

Témata: 0211 other engineering and technologies, Stochastic programming, 02 engineering and technology, 0101 mathematics, 01 natural sciences, Convexity of real functions in one variable, generalizations

Popis souboru: application/xml

Přístupová URL adresa: http://www.numdam.org/item/M2AN_1972__6_1_15_0.pdf
https://eudml.org/doc/193197
https://www.esaim-m2an.org/articles/m2an/abs/1972/01/m2an197206R100151/m2an197206R100151.html
https://www.esaim-m2an.org/articles/m2an/pdf/1972/01/m2an197206R100151.pdf
http://www.esaim-m2an.org/10.1051/m2an/197206R100151

About the Performance of a Calculus-Based Approach to Building Model Functions in a Derivative-Free Trust-Region Algorithm

Autoři: Warren Hare Gabriel Jarry-Bolduc

Zdroj: Algorithms, Vol 16, Iss 2, p 84 (2023)

Témata: blackbox optimization, derivative-free algorithms, trust-region methods, composite objective functions, calculus-based approach, (generalized) simplex gradient, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Relation: https://www.mdpi.com/1999-4893/16/2/84; https://doaj.org/toc/1999-4893; https://doaj.org/article/b3d4a74ab3b04c709bc0442f5620f7fa

Dostupnost: https://doi.org/10.3390/a16020084
https://doaj.org/article/b3d4a74ab3b04c709bc0442f5620f7fa

Enhancing Pelican Optimization Algorithm with Differential Evolution: A Novel Hybrid Metaheuristic Approach.

Autoři: Hamaamin, Rebin Abdulkareem Amin Ali, Omar Mohammed

Zdroj: UHD Journal of Science & Technology; Jul2025, Vol. 9 Issue 2, p101-114, 14p

Témata: OPTIMIZATION algorithms, DIFFERENTIAL evolution, MATHEMATICAL optimization, BLUEGRASSES (Plants), PROBLEM solving, METAHEURISTIC algorithms

Generalized Optimistic Methods for Convex-Concave Saddle Point Problems.

Autoři: Jiang, Ruichen Mokhtari, Aryan

Zdroj: SIAM Journal on Optimization; 2025, Vol. 35 Issue 3, p2066-2097, 32p

Témata: SADDLEPOINT approximations, OPTIMIZATION algorithms, COMPUTATIONAL complexity, CONCAVE functions, ITERATIVE methods (Mathematics), ASYMPTOTIC analysis

A new lower bound approach for single-machine multicriteria scheduling

Autoři: S.L. van de Velde Johannes Hoogeveen

Zdroj: Operations Research Letters. 11:39-44

Témata: Multicriteria scheduling, Objective splitting, maximum potential improvement, multicriteria scheduling, Deterministic scheduling theory in operations research, Maximum potential improvement, Computational methods for problems pertaining to operations research and mathematical programming, lower bounds for single-machine scheduling, composite objective functions, Single-machine scheduling, objective splitting, Multi-objective and goal programming

Popis souboru: application/xml

Přístupová URL adresa: https://repub.eur.nl/pub/12355/LowerBoundsfor_1992.pdf
https://zbmath.org/90151
https://doi.org/10.1016/0167-6377(92)90060-g
https://research.utwente.nl/en/publications/99d27fed-b495-42d0-8e17-46f3182f6535
https://doi.org/10.1016/0167-6377(92)90060-G
https://research-portal.uu.nl/en/publications/33ebbe8b-808c-44ce-96a2-f4a5e217f1fa
https://doi.org/10.1016/0167-6377(92)90060-G
https://dblp.uni-trier.de/db/journals/orl/orl11.html#HoogeveenV92
https://research.utwente.nl/en/publications/a-new-lower-bound-approach-for-single-machine-multicriteria-sched
https://repub.eur.nl/pub/12355/
https://doi.org/10.1016/0167-6377(92)90060-G
http://doc.utwente.nl/32286/1/Velde92new.pdf
https://www.sciencedirect.com/science/article/pii/016763779290060G

Optimizing Of Sums And Products Of Linear Fractional Functions Under Linear Constraints

Autoři: Joachim Hirche The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Joachim Hirche The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.mathematik.uni-halle.de/reports/sources/1995/95-03report.ps.

Témata: Key Words and Phrases. Fractional programming, composite objective functions, linear fractional functions, Charnes--Cooper transformation, parametrized modified simplex method

Popis souboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.5421

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.5421
http://www.mathematik.uni-halle.de/reports/sources/1995/95-03report.ps

Quasi-convexity, strictly quasi-convexity and pseudo-convexity of composite objective functions

Autoři: Bereanu, Bernard

Zdroj: ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique

Témata: hist, phil

Relation: M2AN_1972__6_1_15_0; oai:numdam.org:M2AN_1972__6_1_15_0; citation: ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, 6, no. R1 (1972) p 15-26; ZBL 0268.90052; MR 318417; 10670/1.6zc7m9; http://www.numdam.org/item/M2AN_1972__6_1_15_0/

Dostupnost: http://www.numdam.org/item/M2AN_1972__6_1_15_0/

KALMAN-BASED STOCHASTIC GRADIENT METHOD WITH STOP CONDITION AND INSENSITIVITY TO CONDITIONING.

Autoři: PATEL, VIVAK¹ vp314@uchicago.edu

Zdroj: SIAM Journal on Optimization. 2016, Vol. 26 Issue 4, p2620-2648. 29p.

Témata: *STOCHASTIC processes, *ALGORITHMS, *REGRESSION analysis, *PROBLEM solving, KALMAN filtering

Normalization of Regular Scheduling Criteria with Dynamic Constraint.

Autoři: Akande, Saheed

Zdroj: Mathematical Modelling of Engineering Problems; Jan2024, Vol. 11 Issue 1, p98-106, 9p

Témata: LINEAR equations, SCHEDULING, RESEARCH personnel, QUANTITATIVE research

Constrained composite optimization and augmented Lagrangian methods.

Autoři: De Marchi, Alberto Jia, Xiaoxi Kanzow, Christian a další

Zdroj: Mathematical Programming; Sep2023, Vol. 201 Issue 1/2, p863-896, 34p

Témata: CONSTRAINED optimization, NONSMOOTH optimization, ALGORITHMS

On programming problems with a linear-plus-linear-fractional objective function

Autoři: Hirche, Joachim

Témata: generalized convexity, 377.90086, composite objective functions, Fractional programming, transportation polytopes, nonlinear transportation problem, Convexity of real functions of several variables, generalizations

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/3848996

Verallgemeinerte Konvexitaet bei Summen und Produkten linearer und gebrochen linearer Funktionen

Autoři: Hirche, Joachim

Témata: quasiconvexity, quasiconcavity, composite objective functions, Fractional programming, Convexity of real functions of several variables, generalizations

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/3839703

Some Remarks on Generalized Convexity of Sums and Products: Some remarks on generalized convexity of sums and products

Autoři: J. Hirche

Zdroj: 1985 ISBN: 9783112547106

Témata: explicit quasiconvexity, quasiconcavity, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology, composite objective functions, Fractional programming, Convexity of real functions of several variables, generalizations

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/3894858
https://doi.org/10.1002/zamm.19850650129
https://www.onlinelibrary.wiley.com/doi/10.1002/zamm.19850650129
http://ui.adsabs.harvard.edu/abs/1985ZaMM...65...62H/abstract

Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions.

Autoři: Weiel, Marie Götz, Markus Klein, André a další

Zdroj: Nature Machine Intelligence; Aug2021, Vol. 3 Issue 8, p727-734, 8p

A novel isogeometric scaled coordinate transformation boundary element method for identifying steady-state surface heat sources.

Autoři: Jing, Ruijiang Yu, Bo Ren, Shanhong a další

Zdroj: Computer Methods in Applied Mechanics & Engineering. Nov2025:Part A, Vol. 446, pN.PAG-N.PAG. 1p.

Témata: *HEAT flux, *RADIAL basis functions, *BOUNDARY element methods, *NUMERICAL analysis, *COORDINATE transformations, *ISOGEOMETRIC analysis

Ranking-oriented machine learning framework for probabilistic wind power forecasting with temporal reliability constraints.

Autoři: Li, Chaojie Dai, Jiang Tian, Shijin a další

Zdroj: Scientific Reports; 11/26/2025, Vol. 15 Issue 1, p1-13, 13p

Témata: WIND forecasting, MACHINE learning, ENERGY industries, MULTI-objective optimization, RENEWABLE energy sources, ARTIFICIAL neural networks

Prediction of electricity price intervals using dynamic bayesian networks.

Autoři: Wang, Hongtao

Zdroj: Energy Informatics; 10/28/2025, Vol. 8 Issue 1, p1-20, 20p

Témata: ELECTRICITY pricing, FORECASTING, RENEWABLE energy sources, ECONOMIC decision making, CONFIDENCE intervals, BAYESIAN analysis, MARKET volatility, WIND power

A Systematic Approach to General Higher-Order Majorization-Minimization Algorithms for (Non)convex Optimization.

Autoři: Necoara, Ion Lupu, Daniela

Zdroj: SIAM Journal on Optimization; 2025, Vol. 35 Issue 4, p2372-2401, 30p

Témata: MATHEMATICAL optimization, OPTIMIZATION algorithms, APPROXIMATION theory, LIPSCHITZ continuity, NONCONVEX programming, SURROGATE-based optimization

CONTRACTING PROXIMAL METHODS FOR SMOOTH CONVEX OPTIMIZATION.

Autoři: DOIKOV, NIKITA NESTEROV, YURII

Zdroj: SIAM Journal on Optimization; 2020, Vol. 30 Issue 4, p3146-3169, 24p

Témata: GLOBAL analysis (Mathematics), NONSMOOTH optimization

Calibration of energy density functionals with deformed nuclei.

Autoři: Schunck, N O'Neal, J Grosskopf, M a další

Zdroj: Journal of Physics G: Nuclear & Particle Physics; Jul2020, Vol. 47 Issue 7, p1-21, 21p

Témata: ENERGY density, FUNCTIONALS, CALIBRATION, COUPLING constants, NUCLEAR density, DENSITY functional theory