UB FFM: Suchergebnisse - Numerical Python

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PGAS for Distributed Numerical Python Targeting Multi-core Clusters
Kristensen, Mads Ruben Burgdorff ; Zheng, Yili ; Vinter, Brian
2012 IEEE 26th International Parallel and Distributed Processing Symposium Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International. :680-690 May, 2012

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auto_diff: An Automatic Differentiation Package For Python
Nobel, Parth
2020 Spring Simulation Conference (SpringSim) Spring Simulation Conference (SpringSim), 2020. :1-12 May, 2020

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Numpy and loops in Python.
Numpy and loops in Python
Knowledgemotion Ltd., film distributor. ; APMonitor.com, publisher.

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Data analysis with Python for Excel users.
Knowledgemotion Ltd., film distributor. ; APMonitor.com, publisher.

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Solve differential equations in Python.
Knowledgemotion Ltd., film distributor. ; APMonitor.com, publisher.

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Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python
Linge, Svein ; Langtangen, Hans Petter

Numerical simulations programming Python Textbook Information technology i...

E-Book

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The Viability and Predictive Power of Spiral Time Dynamics This document demonstrates the strength and consistency of Spiral Time dynamics by making the crucial leap from abstract theory to concrete, calculable physics. This process is broken down into two key steps: * Derivation of a New Fundamental Equation: From the core postulate of Spiral Time, a new, fundamental field equation is derived. This equation precisely describes how the Θ field is dynamically modulated by the Spiral Time function ψ(t), thereby establishing the mathematical foundation for all further analysis. * Simulation and Visualization of the Dynamics: To prove its practical applicability, the newly derived equation is implemented in a numerical Python simulation. The result, a diagram of the field's evolution over time, provides the first visual evidence of the system's unique and predictable behavior. This transforms the Spiral Time concept from a pure hypothesis into a mathematically consistent and testable model.
Krüger, Marcel

Report

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Python open-source signal processing and modeling/simulation for scientific research in structural dynamics—A review
Slavič, Janko ; Zaletelj, Klemen ; Gorjup, Domen ; et al.
In Mechanical Systems and Signal Processing 1 December 2025 241

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Toolbox of image processing for numerical Python
Goncalves Silva, A. ; De Alencar Lotufo, R. ; Campos Machado, R.
Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing Computer graphics and image processing Computer Graphics and Image Processing, 2001 Proceedings of XIV Brazilian Symposium on. :402 2001

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Computation of dimensional variations on the structural analysis of multi-cell aircraft box beams with python scripting
Yavuz, Hande
Aircraft Engineering and Aerospace Technology, 2021, Vol. 93, Issue 5, pp. 880-887.

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CL-View full text at Emerald

Modelagem tridimensional de contaminação de PCE para cálculo de massa dissolvida através de programação em Python.
Silva Silveira, Raphael Henrique ; Brietzke, Otavio ; Muraro Derrite, Rafael
InterfacEHS. Spring2021, Vol. 16 Issue 2, p255-271. 17p.

Numerical solutions to d... Python programming langu... Programming languages Mathematical models Pollutants

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Water Mass Transformation Budgets in Finite‐Volume Generalized Vertical Coordinate Ocean Models.
Drake, Henri F. ; Bailey, Shanice ; Dussin, Raphael ; et al.
Journal of Advances in Modeling Earth Systems. Mar2025, Vol. 17 Issue 3, p1-36. 36p.

Water masses Scientific method Oceanic mixing Budget Evolution equations Python programming langu...

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Structured PREreview of 'The Viability and Predictive Power of Spiral Time Dynamics This document demonstrates the strength and consistency of Spiral Time dynamics by making the crucial leap from abstract theory to concrete, calculable physics. This process is broken down into two key steps: * Derivation of a New Fundamental Equation: From the core postulate of Spiral Time, a new, fundamental field equation is derived. This equation precisely describes how the Θ field is dynamically modulated by the Spiral Time function ψ(t), thereby establishing the mathematical foundation for all further analysis. * Simulation and Visualization of the Dynamics: To prove its practical applicability, the newly derived equation is implemented in a numerical Python simulation. The result, a diagram of the field's evolution over time, provides the first visual evidence of the system's unique and predictable behavior. This transforms the Spiral Time concept from a pure hypothesis into a mathematically consistent and testable model.'
Marcel Krüger ; orcid:0009-0002-5709-

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Numerical python in astronomy and astrophysics : a practical guide to astrophysical problem solving
Schmidt, Wolfram ; Völschow, Marcel

Astronomie Astrophysik Python (Programmiersprac... Numerisches Verfahren Physics Astronomy …

Buch

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Introducing students to research codes: A short course on solving partial differential equations in Python.
Inguva, Pavan ; Bhute, Vijesh J. ; Cheng, Thomas N.H. ; et al.
Education for Chemical Engineers. Jul2021, Vol. 36, p1-11. 11p.

Student research Focus groups Student engagement Numerical analysis Python programming langu...

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