optimised functions written in c and integrated with matlab using mex interface (MathWorks Inc)
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optimised functions written in c and integrated with matlab using mex interface
Optimised Functions Written In C And Integrated With Matlab Using Mex Interface, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/c+++mex+function/pm34274069-26-22-20
Average 90 stars, based on 1 article reviews
Optimised Functions Written In C And Integrated With Matlab Using Mex Interface, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/c+++mex+function/pm34274069-26-22-20
Average 90 stars, based on 1 article reviews
optimised functions written in c and integrated with matlab using mex interface - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: An algorithm for distributed time delay identification without a priori knowledge of the kernel Article Snippet: Specifically, we use Article Title: MCR toolkit: A GPU-based toolkit for multi-channel reconstruction of preclinical and clinical x-ray CT data. Article Snippet: Funding information National Institute on Aging, Grant/Award Numbers: RF1AG070149, RF1AG070149-01S1; National Cancer Institute, Grant/Award Number: U24CA220245; National Institute of Biomedical Imaging and Bioengineering, Grant/Award Numbers: R01EB001838, P41EB028744 Abstract Background: The advancement of x-ray CT into the domains of photon counting spectral imaging and dynamic cardiac and perfusion imaging has created many new challenges and opportunities for clinicians and researchers.. To address challenges such as dose constraints and scanning times while capitalizing on opportunities such as multi-contrast imaging and low-dose coronary angiography, these multi-channel imaging applications require a new generation of CT reconstruction tools.These new tools should exploit the relationships between imaging channels during reconstruction to set new image quality standards while serving as a platform for direct translation between the preclinical and clinical domains.. Purpose: We outline and demonstrate a new Multi-Channel Reconstruction (MCR) Toolkit for GPU-based analytical and iterative reconstruction of preclinical and clinical multi-energy and dynamic x-ray CT data. Article Title: Global nonlinear approach for mapping parameters of neural mass models Article Snippet: The model was run using Article Title: Image processing tools for petabyte-scale light sheet microscopy data. Article Snippet: This code is also integrated with Article Title: Fractional-variable-order digital controller design tuned with the chaotic yellow saddle goatfish algorithm for the AVR system. Article Snippet: In this paper, an optimisation method utilising the yellow saddle goatfish algorithm (YSGA) with a new fitness function is proposed to design two types of fractional-variable-order PID (FVOPID) digital controllers for the automatic voltage regulator (AVR) system.. Simulations and comparisons of the results are presented, showing that variable-order control can perform better than the existing solutions for the AVR system.. Additionally, we include a stability analysis of a closed-loop system by utilisation of the Nyquist stability criterion. Article Title: preCICE v2: A sustainable and user-friendly coupling library Article Snippet: Article Title: An algorithm for distributed time delay identification without a priori knowledge of the kernel Article Snippet: Finally, we use Transformation Assay:Article Title: Facilitating multidisciplinary collaboration through a versatile level-set topology optimization framework via COMSOL multiphysics Article Snippet: Topology optimization is an engineering design methodology that optimizes designs by manipulating material distribution.. Level-set topology optimization (LSTO), a boundary-based method, has gained popularity for its crisp description of the design and natural handling of the topological changes during the optimization.. However, its availability in commercial or open-source software is limited, and the entry barrier to LSTO could be considered high. |