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Fast Algorithms for Linear Multivariable System Identification (2002)  (Make Corrections)  (2 citations)
Vasile Sima, Diana Maria Sima, Sabine Van Huffel



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Abstract: Basic algorithmic and computational issues involved in subspace-based linear multivariable system identi cation are described. A new identi cation toolbox|SLIDENT|has been developed and incorporated in the freely available Subroutine Library in Control Theory (SLICOT). Reliability, eciency, and ability to solve large, industrial identi cation problems received a special consideration. Two algorithmic subspace-based approaches (MOESP and N4SID) and their combination, and both standard or fast ... (Update)

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...have to be only target collision resistant the sizes may be halved assuming the hash function is properly used. Software data points. In [4] 241, 345, 837, and 1016 pentium cycles are reported for MD4, MD5, SHA 1, and RIPEMD 160, respectively. This compares to 360 to 500...

...have to be only target collision resistant the sizes may be halved assuming the hash function is properly used. Software data points. In [4] 241, 345, 837, and 1016 Pentium cycles are reported for MD4, MD5, SHA 1, and RIPEMD 160, respectively. This compares to 360 to 500 cycles...

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BibTeX entry:   (Update)

A. Bosselaers, Even faster hashing on the Pentium, manuscript, Katholieke Universiteit Leuven, May 13, 1997. http://citeseer.ist.psu.edu/sima02fast.html   More

@misc{ bosselaers97katholieke,
  author = "A. Bosselaers and E. hashing and o Pentium",
  title = "Katholieke Universiteit Leuven",
  text = "A. Bosselaers, Even faster hashing on the Pentium, manuscript, Katholieke
    Universiteit Leuven, May 13, 1997.",
  year = "1997",
  url = "citeseer.ist.psu.edu/sima02fast.html" }
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