Suchergebnisse - "Python Algorithms"

A Standardized Threshold Approach for Outlier Detection Using Python Algorithms

Autoren: Zahir Saif Alhashami

Quelle: Mathematics and Computer Science: Research Updates Vol. 6 ISBN: 9789349970946

Python Algorithms : Mastering Basic Algorithms in the Python Language

Autoren: Magnus Lie Hetland

Resource Type: eBook.

Schlagworte: Computer algorithms, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Mathematical & Statistical Software

Quantifying topological indices in bipartite and tripartite graphs using Lyndon words and Python algorithms

Autoren: A. Sethukkarasi S. Vidyanandini R. Arulprakasam

Quelle: International Journal of Information Technology. 17:1247-1258

Python Algorithms

Autoren: Magnus Lie Hetland

Resource Type: eBook.

Schlagworte: Python (Computer program language), Computer algorithms

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / General

Cadabra and python algorithms in general relativity and cosmology I: Generalities

Autoren: Oscar Castillo Felisola Dominic T. Price Mattia Scomparin

Quelle: Revista Mexicana de Física E. 22

Schlagwörter: FOS: Computer and information sciences, 0103 physical sciences, Classical Physics (physics.class-ph), FOS: Physical sciences, Computer Science - Mathematical Software, Physics - Classical Physics, General Relativity and Quantum Cosmology (gr-qc), Computational Physics (physics.comp-ph), Physics - Computational Physics, 01 natural sciences, Mathematical Software (cs.MS), General Relativity and Quantum Cosmology

Zugangs-URL: http://arxiv.org/abs/2210.00005

PASTA: Python Algorithms for Searching Transition stAtes

Autoren: Sudipta Kundu Satadeep Bhattacharjee Seung-Cheol Lee et al.

Quelle: Computer Physics Communications. 233:261-268

Schlagwörter: Condensed Matter - Materials Science, Physics, 0103 physical sciences, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, 02 engineering and technology, Computational Physics (physics.comp-ph), 0210 nano-technology, Physics - Computational Physics, 01 natural sciences

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/1805.00085
https://www.sciencedirect.com/science/article/pii/S0010465518302583
https://www.arxiv-vanity.com/papers/1805.00085/
https://ui.adsabs.harvard.edu/abs/2018CoPhC.233..261K/abstract
https://arxiv.org/pdf/1805.00085.pdf
http://eprints.iisc.ac.in/60783/
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201802255849281021

Cadabra and Python algorithms in General Relativity and Cosmology II: Gravitational Waves

Autoren: Castillo-Felisola, Oscar Price, Dominic T. Scomparin, Mattia

Index Begriffe: General Relativity and Quantum Cosmology, Computer Science - Mathematical Software, Physics - Classical Physics, Physics - Computational Physics, text

URL: http://arxiv.org/abs/2210.00007

Cadabra and Python algorithms in General Relativity and Cosmology I: Generalities

Autoren: Castillo-Felisola, Oscar Price, Dominic T. Scomparin, Mattia

Index Begriffe: General Relativity and Quantum Cosmology, Computer Science - Mathematical Software, Physics - Classical Physics, Physics - Computational Physics, text

URL: http://arxiv.org/abs/2210.00005

Cadabra and Python algorithms in general relativity and cosmology II: Gravitational waves

Autoren: Oscar Castillo-Felisola Dominic T. Price Mattia Scomparin

Quelle: Computer Physics Communications. 289:108748

Schlagwörter: FOS: Computer and information sciences, 0103 physical sciences, Classical Physics (physics.class-ph), FOS: Physical sciences, Computer Science - Mathematical Software, Physics - Classical Physics, General Relativity and Quantum Cosmology (gr-qc), Computational Physics (physics.comp-ph), Physics - Computational Physics, 01 natural sciences, Mathematical Software (cs.MS), General Relativity and Quantum Cosmology

Zugangs-URL: http://arxiv.org/abs/2210.00007

Creating Python Algorithms to Mimic R Functions from the R Stats Package

Autoren: Luisely Doza Jason Rafe Miller

Quelle: Proceedings of the West Virginia Academy of Science. 91

Exploring Baxter Robot and Development of Python algorithms to Execute Holding, Lifting and Positioning Tasks

Autoren: Andersson, Rabé

Index Begriffe: Baxter Robot, Robotics, training Baxter, Python, Programming Baxter in Python, Lifting, holding, positioning task, Robotics and automation, Robotik och automation, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-30380

Python Algorithms: mastering basic algorithms in the Python language

Quelle: Choice Reviews Online. 48:48-5731

Python Algorithms

Autoren: Sarwar, Muhammad Anas

Bayesian 3D modeling of the orbital dynamics of wide binary stars: General Python algorithms to infer gravity

Autoren: Chae, Kyu-Hyun orcid:0000-0002-6016-

Schlagwörter: gravity, wide binary stars, modified Newtonian dynamics (MOND), Non-standard theories of gravity, Bayesian inference, Statistical conflation

Relation: arXiv:2508.11996; https://zenodo.org/records/17113129; oai:zenodo.org:17113129; https://doi.org/10.5281/zenodo.17113129

Verfügbarkeit: https://doi.org/10.5281/zenodo.17113129
https://zenodo.org/records/17113129

Python Algorithms

Autoren: Magnus Lie Hetland

Python algorithms in particle tracking microrheology

Autoren: Tamás Haraszti Timo Maier

Quelle: Chem Cent J
Chemistry Central Journal, Vol 6, Iss 1, p 144 (2012)
Chemistry Central journal

Schlagwörter: 0301 basic medicine, Chemistry, 0303 health sciences, 03 medical and health sciences, Particle tracking microrheology, Chemistry(all), Software library, 4. Education, Dynamic interpolation, Numerical conversion method, QD1-999, Software

Dateibeschreibung: application/pdf

Zugangs-URL: https://ccj.biomedcentral.com/track/pdf/10.1186/1752-153X-6-144
https://pubmed.ncbi.nlm.nih.gov/23186362
https://doaj.org/article/ec19bc30e9b74991802652860bda821e
https://www.ncbi.nlm.nih.gov/pubmed/23186362
https://link.springer.com/article/10.1186/1752-153X-6-144
https://bmcchem.biomedcentral.com/articles/10.1186/1752-153X-6-144
https://link.springer.com/content/pdf/10.1186%2F1752-153X-6-144.pdf
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_1577402
http://ccj.springeropen.com/articles/10.1186/1752-153X-6-144
http://hdl.handle.net/11858/00-001M-0000-0010-4BD4-4
http://hdl.handle.net/11858/00-001M-0000-002C-DE61-0

Python Algorithms: Mastering Basic Algorithms in the Python Language

Autoren: Magnus Lie Hetland

A python based algorithmic approach to optimize sulfonamide drugs via mathematical modeling

Autoren: Wakeel Ahmed Kashif Ali Shahid Zaman et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Schlagwörter: Sulfonamide Drugs, QSPR Analysis, Linear regression, Topological indices, Python Algorithms, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/519db8c4788d4a07b15f5bacd596dff2

Modeling of nuclear reactor core for power control simulation with temperature feedback and xenon concentration effect

Autoren: Djaroum, Bélaid Mohammedi, Boussaad Khelil, Abderrahmane et al.

Quelle: Algerian Journal of Engineering and Technology; Vol 8 No 2 (2023): Algerian Journal of Engineering and Technology (December) ; 212-219 ; 2716-9278 ; 2716-9227

Schlagwörter: Modeling, Nuclear reactor, Power control, PID, Python Algorithms

Dateibeschreibung: application/pdf

Relation: https://www.jetjournal.org/index.php/ajet/article/view/375/120; https://www.jetjournal.org/index.php/ajet/article/view/375

Verfügbarkeit: https://www.jetjournal.org/index.php/ajet/article/view/375

Dynamic optimization technique with differential equations

Autoren: Marjan, Mazin Kareem Aljilawi, Ahmed Sabah

Quelle: International journal of health sciences; Special Issue II; 2205-2213 ; 2550-696X ; 2550-6978 ; 10.53730/ijhs.v6nS2.2022

Schlagwörter: energy systems, design optimization, dynamic control objectives, python algorithms

Dateibeschreibung: application/pdf

Relation: https://sciencescholar.us/journal/index.php/ijhs/article/view/5482/1634; https://sciencescholar.us/journal/index.php/ijhs/article/view/5482

Verfügbarkeit: https://sciencescholar.us/journal/index.php/ijhs/article/view/5482
https://doi.org/10.53730/ijhs.v6nS2.5482