Results 51 to 60 of about 164,297 (154)
Paradeisos: a perfect hashing algorithm for many-body eigenvalue problems
, 2017 We describe an essentially perfect hashing algorithm for calculating the position of an element in an ordered list, appropriate for the construction and manipulation of many-body Hamiltonian, sparse matrices.
Devereaux, T. P. +4 more
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ProdMX: Rapid query and analysis of protein functional domain based on compressed sparse matrices
Computational and Structural Biotechnology Journal, 2020 Large-scale protein analysis has been used to characterize large numbers of proteins across numerous species. One of the applications is to use as a high-throughput screening method for pathogenicity of genomes.
Visanu Wanchai +2 more
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Biological Sequence Representation Methods and Recent Advances: A Review
BiologyBiological-sequence representation methods are pivotal for advancing machine learning in computational biology, transforming nucleotide and protein sequences into formats that enhance predictive modeling and downstream task performance.
Hongwei Zhang +6 more
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A Compressed Sampling and Dictionary Learning Framework for WDM-Based Distributed Fiber Sensing
, 2017 We propose a compressed sampling and dictionary learning framework for fiber-optic sensing using wavelength-tunable lasers. A redundant dictionary is generated from a model for the reflected sensor signal. Imperfect prior knowledge is considered in terms
Weiss, Christian, Zoubir, Abdelhak M.
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InformationThe sparse matrix–vector product (SpMV) is a fundamental computational kernel utilized in a diverse range of scientific and engineering applications. It is commonly used to solve linear and partial differential equations.
Muhammad Ahmad +5 more
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SparseM: A Sparse Matrix Package for R * [PDF]
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the package is illustrated by a family of linear model fitting functions that implement least squares methods for problems with sparse design matrices ...
Pin Ng, Roger Koenker
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Stochastic collocation on unstructured multivariate meshes
, 2015 Collocation has become a standard tool for approximation of parameterized systems in the uncertainty quantification (UQ) community. Techniques for least-squares regularization, compressive sampling recovery, and interpolatory reconstruction are becoming ...
Narayan, Akil, Zhou, Tao
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Excessive Memory Usage of the ELLPACK Sparse Matrix Storage Scheme throughout the Finite Element Computations [PDF]
, 2014 Sparse matrices are occasionally encountered during solution of various problems by means of numerical methods, particularly the finite element method.
Akinci, G., Kuzuoglu, M., Yilmaz, A. E.
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A 2.5D Generalized Finite Difference Method for Elastic Wave Propagation Problems
MathematicsThe analysis of elastic wave propagation is a critical problem in both science and engineering, with applications in structural health monitoring and seismic wave analysis.
Hao Chang +4 more
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, 2020 Semidefinite and sum-of-squares (SOS) optimization are fundamental computational tools in many areas, including linear and nonlinear systems theory. However, the scale of problems that can be addressed reliably and efficiently is still limited.
Papachristodoulou, Antonis +2 more
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