Processing Huge Sets of Experimental Data With Spectral Multi-Exponential Approximation

doi 10.17537/icmbb18.14
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IMPB RAS - Branch of KIAM RAS

Related search

Power of Big Data System for Storing and Processing Huge Data

International Journal of Scientific Research in Science and Technology
2019English

Pre-Processing Large Spatial Data Sets With Bayesian Methods

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Quantitative Analysis of SILAC Data Sets Using Spectral Counting

Proteomics
BiochemistryMolecular Biology
2010English

Spectral Methods for Processing Biotelemetrical Data

Electronics and Communications
2016English

Scalable Subsurface Inverse Modeling of Huge Data Sets With an Application to Tracer Concentration Breakthrough Data From Magnetic Resonance Imaging

Water Resources Research
Water ScienceTechnology
2016English

Sets of Convergence of Exponential Series

Proceedings of the American Mathematical Society
MathematicsApplied Mathematics
1968English

Quick Knowledge Reduction Based on Divide and Conquer Method in Huge Data Sets

English

Accelerated Spectral Approximation

Mathematics of Computation
Computational MathematicsApplied MathematicsNumber TheoryAlgebra
1998English

Canonical Sets of BestL1-Approximation

Journal of Function Spaces and Applications
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy