Построение карт глубины и сопоставление стерео
Stochastic Gradient Descent Training for L1-regularizaed Log-linear Models with Cumulative Penalty Yoshimasa Tsuruoka, Junichi Tsujii, and Sophia Ananiadou.
PEER Seismic Simulation: Advances with OpenSees Gregory L. Fenves University of California, Berkeley PEER Annual Meeting January 18, 2002.
Sebastian Ueckert, Joakim Nyberg, Andrew C. Hooker Application of Quasi-Newton Algorithms in Optimal Design Pharmacometrics Research Group Department of.
Ebooksclub.org Machine Learning Methods in the Environmental Sciences Neural Networks and Kernels
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Modeling analysis and_simulation
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559 Fish 559; Lecture 5 Non-linear Minimization. 559 Introduction Non-linear minimization (or optimization) is the numerical technique that is used by.
Potential energy surfaces: the key to structure, dynamics, and thermodynamics K. D. Jordan Department of Chemistry University of Pittsburgh Pittsburgh,
Toward an automatic parallel tool for solving systems of nonlinear equations Antonio M. Vidal Jesús Peinado Departamento de Sistemas Informáticos y Computación.
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