Výsledky vyhledávání - sequential (least OR past) squares programming algorithm*

Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation

Autoři: Ma, Yingjie Zhang, Nan Li, Jie a další

Přispěvatelé: Ma, Yingjie Zhang, Nan Li, Jie a další

Zdroj: Ma, Y, Zhang, N & Li, J 2022, Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation. in L Montastruc & S Negny (eds), Computer Aided Chemical Engineering. Elsevier BV.

Přístupová URL adresa: https://research.manchester.ac.uk/en/publications/d304bc26-0b95-44bb-8f08-2f63ecf3d0b2

Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm

Autoři: Ma, Yingjie Zhang, Nan Li, Jie

Zdroj: Ma, Y, Zhang, N & Li, J 2022, Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm. in Computer Aided Chemical Engineering. Elsevier BV.

Přístupová URL adresa: https://research.manchester.ac.uk/en/publications/3f2a7af2-7469-472f-afc7-6d1e6684d758

Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation

Zdroj: Computer Aided Chemical Engineering ISBN: 9780323958790

Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm

Zdroj: Computer Aided Chemical Engineering ISBN: 9780323851596

End-effector Cartesian stiffness shaping - sequential least squares programming approach

Autoři: Nikola Knezevic Branko Lukic Kosta Jovanovic a další

Zdroj: Serbian Journal of Electrical Engineering, Vol 18, Iss 1, Pp 1-14 (2021)

Témata: cartesian stiffness control, sequential last squares programming, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, physical human-robot interaction, 0210 nano-technology, robot redundancy, 01 natural sciences, TK1-9971, 0104 chemical sciences

Přístupová URL adresa: http://www.doiserbia.nb.rs/ft.aspx?id=1451-48692101001K
https://doaj.org/article/8f37c41634d84faab7906989ada91e90
https://sjee.ftn.kg.ac.rs/index.php/sjee/article/view/570
https://sjee.ftn.kg.ac.rs/index.php/sjee/article/download/570/528

iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming.

Autoři: Cai J Zhao J Bin Y a další

Zdroj: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2025 Jun; Vol. 17 (2), pp. 277-292. Date of Electronic Publication: 2024 Nov 15.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

Výrazy ze slovníku MeSH: Amyloid*/chemistry , Software* , Computational Biology*/methods , Oligopeptides*/chemistry, Least-Squares Analysis ; Algorithms ; Amino Acid Sequence ; Humans ; Hydrophobic and Hydrophilic Interactions

Study of the nuclear mass model by sequential least squares programming.

Autoři: Yang, Hang Chen, Cun-Yu Xu, Xiao-Yu a další

Zdroj: Nuclear Science & Techniques; Jul2025, Vol. 36 Issue 7, p1-9, 9p

Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming

Autoři: Paolo Fracas Kyle V. Camarda Edwin Zondervan

Zdroj: Physical Sciences Reviews. 8:121-156

Témata: SLSQP, 13. Climate action, 9. Industry and infrastructure, interconnected hybrid microgrids, techno-economic assessment, SDG 7 - Affordable and Clean Energy, microgrid optimization, renewable energy systems, 01 natural sciences, 7. Clean energy, NLA, distributed energy resources, 0105 earth and related environmental sciences

Přístupová URL adresa: https://research.utwente.nl/en/publications/shaping-the-future-energy-markets-with-hybrid-multimicrogrids-by-
https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2Fbbe56d29-aca2-4fbb-a375-0f954099e825

Improved SQP and SLSQP algorithms for feasible path-based process optimisation

Autoři: Ma, Yingjie Gao, Xi Liu, Chao a další

Zdroj: Ma, Y, Gao, X, Liu, C & Li, J 2024, 'Improved SQP and SLSQP algorithms for feasible path-based process optimisation', COMPUTERS & CHEMICAL ENGINEERING, vol. 188, 108751. https://doi.org/10.1016/j.compchemeng.2024.108751

Témata: Process optimisation, Feasible path algorithm, Numerical noise, Ill conditioning, Sequential least squares programming algorithm, Sequential quadratic programming

Dostupnost: https://research.manchester.ac.uk/en/publications/5bf65570-a19c-4f6d-9b48-b0f6bdba62a0
https://doi.org/10.1016/j.compchemeng.2024.108751

Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning

Autoři: Pan Zhang Kang Hu Yuting Yang a další

Zdroj: Electronics ; Volume 14 ; Issue 7 ; Pages: 1266

Témata: dissolved gas concentration, Dempster–Shafer evidence theory, Bagging, sequential least squares programming algorithm, mean square error

Popis souboru: application/pdf

Relation: Power Electronics; https://dx.doi.org/10.3390/electronics14071266

Dostupnost: https://doi.org/10.3390/electronics14071266

A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction.

Autoři: Zhang, Yiwen Lahmiri, Salim

Zdroj: Entropy; Nov2025, Vol. 27 Issue 11, p1122, 18p

Témata: DEEP learning, ENSEMBLE learning, PETROLEUM sales & prices, ENERGY consumption, BOOSTING algorithms, CONVOLUTIONAL neural networks, MATHEMATICAL optimization, LONG short-term memory

Decoupling Offloading Decision and Resource Allocation via Deep Reinforcement Learning and Sequential Least Squares Programming

Autoři: Zhihao Xuan Guiyi Wei Jifa Zhang a další

Zdroj: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030677190

Témata: 7. Clean energy

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/chinacom/chinacom2020.html#XuanWNZ20
https://rd.springer.com/chapter/10.1007/978-3-030-67720-6_38
https://link.springer.com/chapter/10.1007/978-3-030-67720-6_38

End-effector Cartesian stiffness shaping: Sequential least squares programming approach

Autoři: Knežević, Nikola Lukić, Branko Jovanović, Kosta a další

Zdroj: Serbian Journal of Electrical Engineering (2021) 18(1):1-14 ; ISSN: 1451-4869

Témata: Cartesian Stiffness Control, Robot Redundancy, Physical Human-Robot Interaction, Sequential Last Squares Programming

Popis souboru: application/pdf; txt

Dostupnost: http://scindeks.ceon.rs/article.aspx?artid=1451-48692101001K

A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction

Autoři: Yiwen Zhang Salim Lahmiri

Zdroj: Entropy, Vol 27, Iss 11, p 1122 (2025)

Témata: deep learning, ensemble system, Bayesian optimization, sequential least squares programming, crude oil market, forecasting, Science, Astrophysics, QB460-466, Physics, QC1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1099-4300/27/11/1122; https://doaj.org/toc/1099-4300

Přístupová URL adresa: https://doaj.org/article/d65f8761630247aab8b9eb706b33928c

A cost-effective trilateration-based radio localization algorithm using machine learning and sequential least-square programming optimization.

Autoři: Marques, João Paulo P.G. Cunha, Daniel C. Harada, Lucas M.F. a další

Zdroj: Computer Communications. Sep2021, Vol. 177, p1-9. 9p.

Témata: *ALGORITHMS, *WIRELESS communications, *WIRELESS localization, *NEXT generation networks, *5G networks, SEQUENTIAL learning, MACHINE learning

Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning.

Autoři: Zhang, Pan Hu, Kang Yang, Yuting a další

Zdroj: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1266, 16p

Témata: MACHINE learning, ENSEMBLE learning, DISTRIBUTION (Probability theory), HEALTH status indicators, ALGORITHMS, DEEP learning

Cartesian Stiffness Shaping of Compliant Robots—Incremental Learning and Optimization Based on Sequential Quadratic Programming.

Autoři: Knežević, Nikola Petrović, Miloš Jovanović, Kosta

Zdroj: Actuators; Jan2024, Vol. 13 Issue 1, p32, 18p

Témata: MACHINE learning, ROBOT programming, QUADRATIC programming, ROBOTS, ONLINE education, ENERGY consumption, ACTUATORS

Site Survey-free Indoor Positioning System based on RSSI Diversity and Sequential Least Squares Programming

Autoři: Pinto, Bráulio Henrique Orion Uchôa Veloso http://lattes.cnpq.br/2044598311458637 orcid:0000-0001-8885-5609 a další

Přispěvatelé: Pinto, Bráulio Henrique Orion Uchôa Veloso http://lattes.cnpq.br/2044598311458637 orcid:0000-0001-8885-5609 a další

Témata: CIENCIAS EXATAS E DA TERRA: CIENCIA DA COMPUTACAO: SISTEMAS DE COMPUTACAO: TELEINFORMATICA, ENGENHARIAS: ENGENHARIA ELETRICA: TELECOMUNICACOES: RADIONAVEGACAO E RADIOASTRONOMIA, CIENCIAS EXATAS E DA TERRA: PROBABILIDADE E ESTATISTICA: ESTATISTICA: ANALISE DE DADOS, Bluetooth low-energy, Indoor positioning, Path loss model, RSSI, Optimization

Popis souboru: application/pdf

Relation: https://tede.ufam.edu.br/handle/tede/11139

Dostupnost: https://tede.ufam.edu.br/handle/tede/11139

Data-Driven Yield Improvement in Upstream Bioprocessing of Monoclonal Antibodies: A Machine Learning Case Study.

Autoři: Strüssmann, Breno Renato de Queiroz, Anderson Rodrigo Hvam, Lars

Zdroj: Processes; Nov2025, Vol. 13 Issue 11, p3394, 18p

Témata: MONOCLONAL antibodies, MACHINE learning, PREDICTION models, REGRESSION analysis, EMPIRICAL research, INDUSTRIAL efficiency, BIOENGINEERING, BIOCHEMICAL engineering

Estalishing a nonlinear optimization method for structural reliability analysis

Autoři: Mehrshad Ghorbanzadeh P. Homami M. Shahrouzi

Zdroj: مهندسی عمران شریف, Vol 39.2, Iss 1, Pp 81-91 (2023)

Témata: structural reliability analysis, failure probability, numerical optimization, probability expectation, sequential least squares programming, Building construction, TH1-9745

Popis souboru: electronic resource

Relation: https://sjce.journals.sharif.edu/article_23003_d728ace2c75c0bfcd2838c73114a8cf1.pdf; https://doaj.org/toc/2676-4768; https://doaj.org/toc/2676-4776

Přístupová URL adresa: https://doaj.org/article/b2fe4d9f2139400698d2f8df31226cdc