Výsledky vyhľadávania - "Linearly constrained quadratic programming"

Optimal control of a chemical reactor

Autori: N. Lock K. H. Wong

Zdroj: The Journal of the Australian Mathematical Society. Series B. Applied Mathematics. 39:61-76

Predmety: input temperature, Numerical mathematical programming methods, Pursuit and evasion games, linearly-constrained quadratic programming problems, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, 0101 mathematics, Classical flows, reactions, etc. in chemistry, nonlinear diffusion equations, 01 natural sciences, input oxygen concentration, Differential games and control

Popis súboru: application/xml

Prístupová URL adresa: https://www.cambridge.org/core/services/aop-cambridge-core/content/view/CD63B177CE47EEDF8BF3088AD8EC26B2/S0334270000009218a.pdf/div-class-title-optimal-control-of-a-chemical-reactor-div.pdf
https://www.cambridge.org/core/journals/anziam-journal/article/optimal-control-of-a-chemical-reactor/CD63B177CE47EEDF8BF3088AD8EC26B2
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/CD63B177CE47EEDF8BF3088AD8EC26B2/S0334270000009218a.pdf/div-class-title-optimal-control-of-a-chemical-reactor-div.pdf

Splitting methods for constrained quadratic programs in data analysis

Autori: GALLIGANI, Emanuele V. RUGGIERO ZANNI, Luca

Zdroj: Computers & Mathematics with Applications. 32:1-9

Predmety: Linearly constrained strictly convex quadratic program, Large-scale problems in mathematical programming, Convex programming, parallel computer, 0209 industrial biotechnology, Large scale problem, Parallel computer, Acceleration technique, Splitting method, 0211 other engineering and technologies, Parallel numerical computation, 02 engineering and technology, Quadratic programming, splitting of the objective matrix, linearly constrained strictly convex quadratic program, large scale problem, Computational Mathematics, Computational Theory and Mathematics, linearly constrained quadratic programming, Modelling and Simulation, acceleration technique, splitting method

Popis súboru: application/xml

Prístupová URL adresa: https://core.ac.uk/display/54680485
https://www.sciencedirect.com/science/article/pii/0898122196001319
http://www.nau.unimore.it/CMA-1996.pdf
https://hdl.handle.net/11380/304917
https://hdl.handle.net/11392/1207845
https://doi.org/10.1016/0898-1221(96)00131-9

New infeasible interior-point algorithm based on monomial method

Autori: Yi-Chih Hsieh Dennis L. Bricker

Zdroj: Computers & Operations Research. 23:653-666

Predmety: Convex programming, continuous quadratic knapsack problems, 0211 other engineering and technologies, infeasible path-following algorithm, 02 engineering and technology, Quadratic programming, 0101 mathematics, convex linearly-constrained quadratic programming, 01 natural sciences

Popis súboru: application/xml

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/cor/cor23.html#HsiehB96
http://www.sciencedirect.com/science/article/pii/0305054895000682
https://www.sciencedirect.com/science/article/pii/0305054895000682

Combining Probability Density Forecasts for Power Electrical Loads

Autori: Li, Tianyi Wang, Yi id_orcid:0 000-0003-1143-0666 a ďalší

Zdroj: IEEE Transactions on Smart Grid, 11 (2)

Predmety: Probabilistic load forecasting, Density forecasting, Continuous ranked probability score, Ensemble learning, Linearly constrained quadratic programming

Relation: http://hdl.handle.net/20.500.11850/412606

Dostupnosť: https://hdl.handle.net/20.500.11850/412606

Sparsity-Aware Noise Subspace Fitting for DOA Estimation

Autori: Zheng, Chundi Chen, Huihui Wang, Aiguo

Zdroj: Sensors (Basel)
Sensors
Volume 20
Issue 1

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, direction-of-arrival (DOA) estimation, sparse recovery, subspace fitting, array signal processing, linearly constrained quadratic programming (LCQP), Article

Popis súboru: application/pdf

Prístupová URL adresa: https://www.mdpi.com/1424-8220/20/1/81/pdf
https://pubmed.ncbi.nlm.nih.gov/31877776
https://europepmc.org/article/PMC/PMC6982932
https://www.mdpi.com/1424-8220/20/1/81
https://doi.org/10.3390/s20010081
https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#ZhengCW20
https://www.mdpi.com/1424-8220/20/1/81/pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982932