forked from kscience/kmath
13 lines
624 B
Markdown
13 lines
624 B
Markdown
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# Performance for n-dimensional structures operations
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One of the most sought after features of mathematical libraries is the high-performance operations on n-dimensional
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structures. In `kmath` performance depends on which particular context was used for operation.
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Let us consider following contexts:
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```kotlin
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// automatically build context
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val bufferedField = NDField.auto(intArrayOf(dim, dim), RealField)
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val specializedField = NDField.real(intArrayOf(dim, dim))
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val genericField = NDField.buffered(intArrayOf(dim, dim), RealField)
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val lazyNDField = NDField.lazy(intArrayOf(dim, dim), RealField)
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```
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