Search Results - sequential (last OR past) squares programming algorithm*

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

Authors: Nikola Knezevic Branko Lukic Kosta Jovanovic et al.

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

Subject Terms: 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

Access URL: 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

Sequential hierarchical least-squares programming for prioritized non-linear optimal control.

Authors: Pfeiffer, Kai Kheddar, Abderrahmane

Source: Optimization Methods & Software; Oct2024, Vol. 39 Issue 5, p1104-1142, 39p

Subject Terms: INTERIOR-point methods, QUADRATIC programming, INVERSE problems, ALGORITHMS, MATRICES (Mathematics)

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

Authors: Zhang, Yiwen Lahmiri, Salim

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

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

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

Authors: Knežević, Nikola Lukić, Branko Jovanović, Kosta et al.

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

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

File Description: application/pdf; txt

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

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

Authors: Paolo Fracas Kyle V. Camarda Edwin Zondervan

Source: Physical Sciences Reviews. 8:121-156

Subject Terms: 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

Access URL: 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

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

Authors: Zhang, Pan Hu, Kang Yang, Yuting et al.

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

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

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Authors: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Source: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Subjects: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.

Authors: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia et al.

Source: Nutrients. Nov2025, Vol. 17 Issue 22, p3515. 45p.

Predictive analysis of pulmonary fibrosis progression using gradient boosting classifier and DICOM images.

Authors: Ramyea, R. Kasthuri, N. Kumar, Kandasamy Senthil et al.

Source: AIP Conference Proceedings; 3/27/2024, Vol. 2966 Issue 1, p1-8, 8p

Subject Terms: PULMONARY fibrosis, ASBESTOS, COAL dust, BOOSTING algorithms, DISEASE risk factors, TREE growth

Benchmarking of different optimizers in the variational quantum algorithms for applications in quantum chemistry.

Authors: Singh, Harshdeep Majumder, Sonjoy Mishra, Sabyashachi

Source: Journal of Chemical Physics; 7/28/2023, Vol. 159 Issue 4, p1-12, 12p

Subject Terms: QUANTUM chemistry, GROUND state energy, STOCHASTIC approximation, HYDROGEN fluoride, ALGORITHMS, QUANTUM perturbations

A Smooth-Delayed Phase-Type Mixture Model for Human-Driven Process Duration Modeling.

Authors: Wang, Dongwei McClean, Sally Yang, Lingkai et al.

Source: Algorithms; Sep2025, Vol. 18 Issue 9, p575, 28p

Subject Terms: HUMAN behavior, PARAMETER estimation, UNITS of time, STATISTICAL models, BAYESIAN analysis, HUMAN behavior models

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

Authors: Knežević, Nikola Petrović, Miloš Jovanović, Kosta

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

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

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

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

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

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

Image-Based Dietary Energy and Macronutrients Estimation with ChatGPT-5: Cross-Source Evaluation Across Escalating Context Scenarios.

Authors: Rodríguez-Jiménez, Marcela Martín-del-Campo-Becerra, Gustavo Daniel Sumalla-Cano, Sandra et al.

Source: Nutrients. Nov2025, Vol. 17 Issue 22, p3613. 38p.

Computer vision algorithms to help decision-making in cattle production.

Authors: Guarnido-Lopez, P Pi, Y Tao, J et al.

Source: Animal Frontiers. Dec2024, Vol. 14 Issue 6, p11-22. 12p.

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

Authors: Fracas, Paolo Camarda, Kyle V. Zondervan, Edwin

Source: Physical Sciences Reviews; Jan2023, Vol. 8 Issue 1, p121-156, 36p

A Hybrid Model for Carbon Price Forecasting Based on Secondary Decomposition and Weight Optimization.

Authors: Chen, Yongfa Zhu, Yingjie Wang, Jie et al.

Source: Mathematics (2227-7390); Jul2025, Vol. 13 Issue 14, p2323, 24p

Subject Terms: CARBON pricing, FORECASTING, MATHEMATICAL optimization, TIME series analysis, FEATURE selection, DECOMPOSITION method, ENSEMBLE learning

The statistical building blocks of animal movement simulations.

Authors: Getz, Wayne M. Salter, Richard Sethi, Varun et al.

Source: Movement Ecology. 9/30/2024, Vol. 12 Issue 1, p1-24. 24p.

2024 ACVIM Forum Research Abstract Program.

Source: Journal of Veterinary Internal Medicine. Sep/Oct2024, Vol. 38 Issue 5, p2840-2970. 131p.

Efficient Online Learning Algorithms for Total Least Square Problems

Authors: Xiangyu Kong Dazheng Feng

Resource Type: eBook.

Subjects: Mathematical models, Control engineering, Algorithms, Mathematics—Data processing

Categories: MATHEMATICS / Applied, COMPUTERS / Computer Science, COMPUTERS / Programming / Algorithms, TECHNOLOGY & ENGINEERING / Electrical