Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual gpcovarf Daniel@0: Daniel@0: Daniel@0: Daniel@0:

gpcovarf Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Calculate the covariance function for a Gaussian Process. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

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Daniel@0: covf = gpcovarf(net, x1, x2)
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Daniel@0: Daniel@0: Daniel@0:

Daniel@0: Description Daniel@0:

Daniel@0: Daniel@0:

covf = gpcovarf(net, x1, x2) takes Daniel@0: a Gaussian Process data structure net together with Daniel@0: two matrices x1 and x2 of input vectors, Daniel@0: and computes the matrix of the covariance function values Daniel@0: covf. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: gp, gpcovar, gpcovarp, gperr, gpgrad

Daniel@0: Pages: Daniel@0: Index Daniel@0:

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