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results (Ex1_Square Plate (cov kernel (sq- exp, modified - exp, exp),…
results
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note
In Figure 5(b), the linear-exponential covariance model (second-order Markov) and the squared exponential model perform better than the exponential model for the same reason. Phoon 26
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The convergence and accuracy of K–L expansion depend on the terms in the truncated K–L expansion. The lower the ratio of the length of the process over correlation parameter, the lesser are the terms needed for a given accuracy. Smooth covariance models exhibit faster convergence than models with less smooth covariance function. It is further shown that numerical K–L expansion reduces the effectiveness of the K–L expansion. In using numerical K–L expansion rather than analytical K–L expansion, more terms are needed to represent the random process for a given accuracy. Phoon 26
I suppose, it's not necessary to do deterministic solutions.
Ex2_Dart thin plate
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لی واسه 1e6 سمپل 40 مین مونت کارلو زده این مثالو... با کد خودمون مقایسه کنیم؟ بگیم زودتر شده با موازی سازی و ...