Results 11 to 20 of about 27,120 (203)
PARSEC.py: A Python-Based Real-Space Kohn-Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density. [PDF]
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zhang Z +4 more
europepmc +2 more sources
A Practical Tutorial on Physics-Informed Networks for Pharmacometrics and Quantitative Systems Pharmacology. [PDF]
ABSTRACT Inverse problems in pharmacometrics and quantitative systems pharmacology (QSP) often involve sparse, noisy data, limited measurable states, and complex dynamical systems. Traditional parameter estimation methods can struggle with ill‐posed problems, stiffness, discontinuities, and gray‐box scenarios where only part of the system dynamics is ...
Ahmadi Daryakenari N, Kohandel M.
europepmc +2 more sources
This paper deals with Chebyshev wavelets. We analyze their properties computing their Fourier transform. Moreover, we discuss the differential properties of Chebyshev wavelets due to the connection coefficients.
Emanuel Guariglia +1 more
doaj +2 more sources
Chebyshev Polynomials and Spectral Method for Optimal Control Problem [PDF]
This paper presents efficient algorithms which are based on applying the idea of spectral method using the Chebyshev polynomials: including Chebyshev polynomials of the first kind, Chebyshev polynomials of the second kind and shifted Chebyshev ...
Suha Najeeb Shihab, Jabbar Abed Eleiwy
doaj +1 more source
In this article, we discuss the Chebyshev Polynomial and its characteristics. The second order difference equation and the process obtaining the explicit solution of the Chebyshev polynomial have been given for each real number.
Ikhsan Maulidi +3 more
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Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source
SIMULACIÓN DE UN SISTEMA DE TRANSMISIÓN DE DATOS
En este trabajo se presenta una simulación por "software" de un sistema digital de transmisión de datos utilizando la herramienta llamada LabView ® para Windows ®, versión 5.0, de National Instruments. El sistema modela un generador binario de pulsos (
Arturo Ramírez Porras
doaj +1 more source
An integrated approach combining autoencoders with fuzzy C-means and Chebyshev distance for enhanced genomic clustering in cancer research [PDF]
Genomic clustering is one of the vital tools in cancer research for uncovering hidden patterns within complex genetic datasets. Despite advancements in various clustering techniques, conventional methods often struggle with high-dimensional genomic data ...
Nurnadiah Zamri +4 more
doaj +1 more source
ENUMERATION OF MEANDERS AND MASUR–VEECH VOLUMES
A meander is a topological configuration of a line and a simple closed curve in the plane (or a pair of simple closed curves on the 2-sphere) intersecting transversally. Meanders can be traced back to H.
VINCENT DELECROIX +3 more
doaj +1 more source
Design of generalized Chebyshev lumped element filters by computer optimisation [PDF]
A numerical method for the optimization of symmetrical lumped element low-pass and band-pass filters with a generalized Chebyshev response is considered.
Budimir, D. +5 more
core +1 more source

