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DEFLATE

Known as: DEFLATE (algorithm), Data compression/Deflation, Deflate64 
In computing, deflate is a data compression algorithm and associated file format that uses a combination of the LZ77 algorithm and Huffman coding. It… 
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.NET Framework version historyAdaAlgorithmApplication-specific integrated circuit

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Comparison of lossless compression schemes for high rate electrical grid time series for smart grid monitoring and analysis
2018
2018
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms
Data compression techniques have been widely used to reduce data storage and movement overhead, especially in the big data era… 
Highly Cited
2018
Highly Cited
2018
Learning nonlinear dynamic models of soft robots for model predictive control with neural networks
Soft robots have the potential to significantly change the way that robots interact with the environment and with humans. However… 
2017
2017
An improved lossless group compression algorithm for seismic data in SEG-Y and MiniSEED file formats
Highly Cited
2015
Highly Cited
2015
What Is a "Fair" Price? Ethics as Sensemaking
Whereas the deliberative democracy approach to ethics seeks to bridge universalist reason and contextual judgment to explain the… 
2007
2007
Syngenetic sand veins and anti‐syngenetic sand wedges, Tuktoyaktuk Coastlands, western Arctic Canada
Sand‐sheet deposits of full‐glacial age in the Tuktoyaktuk Coastlands, western Arctic Canada, contain syngenetic sand veins 1–21… 
Highly Cited
2007
Highly Cited
2007
Computing and Deflating Eigenvalues While Solving Multiple Right-Hand Side Linear Systems with an Application to Quantum Chromodynamics
We present a new algorithm that computes eigenvalues and eigenvectors of a Hermitian positive definite matrix while solving a… 
Highly Cited
2004
Highly Cited
2004
A Comparison of Deflation and Coarse Grid Correction Applied to Porous Media Flow
In this paper we compare various preconditioners for the numerical solution of partial dierential equations. We compare a coarse… 
1998
1998
A memory-efficient adaptive Huffman coding algorithm for very large sets of symbols
Summary form only given. The problem of computing the minimum redundancy codes as we observe symbols one by one has received a… 
1995
1995
Numerical solutions for large sparse quadratic eigenvalue problems
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