Results 311 to 320 of about 670,956 (337)

Convex geometry and nonlinear approximation

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000
A variety of properties for neural approximation follow from considerations of convexity.
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Smooth Approximations to Nonlinear Complementarity Problems

SIAM Journal on Optimization, 1997
Summary: It is well known that a nonlinear complementarity problem (NCP) can be formulated as a system of nonsmooth equations. \textit{C. Chen} and \textit{O. L. Mangasarian} [Comput. Optim. Appl. 5, No. 2, 97-138 (1996; Zbl 0859.90112)] proposed a class of parametric smooth functions by twice integrating a probability density function.
Bintong Chen, Patrick T. Harker
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Geometrical Optics Approximation for Nonlinear Equations

SIAM Journal on Applied Mathematics, 2004
Summary: A wide class of nonlinear equations is studied in the geometrical optics approximation. It is shown that a nonlinear equation with coefficients dependent on the amplitude of the function sought can be reduced to a system of quasi-linear equations of the gas-dynamics type.
A. A. Maradudin, F. Bass, V. Freilikher, V. Prosentsov   +3 more
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Accurate Approximations for Nonlinear Vibrations

2019
As global issues such as climate change and overpopulation continue to grow, the role of the engineer is forced to adapt. The general population now places an emphasis not only on the performance of a mechanical system, but also the efficiency with which this can be achieved.
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Approximations for Nonlinear Filters based on Quantisation

Monte Carlo Methods and Applications, 2001
The author studies the use of observation quantisation with discrete-time nonlinear filters in which the signal is a finite-state Markov chain, and the observation is the signal plus white noise. It is shown that the reduction of the filter accuracy is small for filters with slow signal dynamics and substantially noisy observations.
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Stochastic Approximation and Nonlinear Regression

Technometrics, 1969
W. T. Federer, A. E Albert, L. A. Gardner   +2 more
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Nonlinear Approximation

1996
George G. Lorentz, Yuly Makovoz, Manfred V. Golitschek   +2 more
openaire   +1 more source

Approximation-Based Adaptive Neural Control Design for a Class of Nonlinear Systems

IEEE Transactions on Cybernetics, 2014
Xiaoping Liu, Michael Shi, Chong Lin
exaly  

Approximation-Based Adaptive Tracking Control for MIMO Nonlinear Systems With Input Saturation

IEEE Transactions on Cybernetics, 2015
Qi Zhou, Michael Shi
exaly  

Stability and convergence of a new explicit finite-difference approximation for the variable-order nonlinear fractional diffusion equation

Applied Mathematics and Computation, 2009
Fawang Liu, Vo V Anh
exaly