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Cajal's legacy in the digital era: from neuroscience foundations to deep learning. [PDF]
GarcĂa-Lorenzo M +2 more
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Wetware network-based AI: a chemical approach to embodied cognition for robotics and artificial intelligence. [PDF]
Damiano L, Fleres A, Roli A, Stano P.
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Hybrid symbolic-numeric computation
Proceedings of the 2006 international symposium on Symbolic and algebraic computation, 2006Several standard problems in symbolic computation, such as greatest common divisor and factorization of polynomials, sparse interpolation, or computing solutions to overdetermined systems of polynomial equations have non-trivial solutions only if the input coefficients satisfy certain algebraic constraints.
Erich Kaltofen, Lihong Zhi
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Symbolic-numerical computation of the stability regions for Jameson's schemes
Mathematics and Computers in Simulation, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ganzha, V. G., Vorozhtsov, E. V.
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Mixed symbolic–numerical computations with general DAEs I: System properties
Numerical Algorithms, 1998A variety of situations where mixed symbolic numerical calculations are essential for analyzing a differential-algebraic equation (DAE) is considered. Using a specific example from robotic path control of (differential) index 5, difficulties of the computation of derivative array equations and their integration are discussed in detail.
Campbell, S. L. +3 more
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Symbolic-numeric algorithms for computing validated results
Proceedings of the 39th International Symposium on Symbolic and Algebraic Computation, 2014In the tutorial, we will introduce two kinds of problems for which validated results are computed via hybrid symbolic-numeric algorithms. These hybrid algorithms follow the basic principle pointed out by Siegfried M. Rump in [1] for computing validated results: First, a pure floating point algorithm is used to compute an approximate solution of good ...
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