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First, critical excitation methods for stationary random inputs are discussed in this chapter.
However, it may also be relevant to develop the critical excitation methods for stationary random inputs as the basis for development for non-stationary random inputs.
Other methods for stationary land vehicles include covering with improvised materials such as blankets and vegetation, and erecting nets, screens and soft covers which may suitably reflect, scatter or absorb near infrared and radar waves.
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A solution based on a characterization of Fermat's method for stationary points is presented that results in a complex transcendental equation.
The solution of the coupled set of equations is performed with an implicit Newton Krylov matrix-free method for stationary problems.
Before Dr. Granger's studies, it was common practice for economists to take methods intended for stationary time series and use them to analyze nonstationary ones.
The idea of using fast sweeping methods for solving stationary systems of conservation laws has previously been proposed for efficiently computing solutions with sharp shocks.
Various methods for sampling stationary, Gaussian stochastic processes are investigated and compared with an emphasis on applications to processes with power law energy spectra.
Secondly, critical excitation methods for non-stationary random inputs are developed.
Therefore, critical excitation methods for non-stationary random inputs may be desirable for constructing and developing realistic earthquake-resistant design methods.
Here we demonstrate that the approach may be directly extended to multi-dimensional processes, and two analogous computationally-efficient methods for non-stationary processes are developed.
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