forked from M-Labs/nalgebra
Address review concerns: doc link, Csr/CScMatrix::pattern docs
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@ -369,11 +369,7 @@ impl<T> CscMatrix<T> {
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self.cs.pattern_and_values_mut()
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}
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/// Returns the underlying sparsity pattern.
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///
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/// The sparsity pattern is stored internally inside an `Arc`. This allows users to re-use
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/// the same sparsity pattern for multiple matrices without storing the same pattern multiple
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/// times in memory.
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/// Returns a reference to the underlying sparsity pattern.
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pub fn pattern(&self) -> &SparsityPattern {
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self.cs.pattern()
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}
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@ -371,11 +371,7 @@ impl<T> CsrMatrix<T> {
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self.cs.pattern_and_values_mut()
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}
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/// Returns the underlying sparsity pattern.
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///
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/// The sparsity pattern is stored internally inside an `Arc`. This allows users to re-use
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/// the same sparsity pattern for multiple matrices without storing the same pattern multiple
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/// times in memory.
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/// Returns a reference to the underlying sparsity pattern.
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pub fn pattern(&self) -> &SparsityPattern {
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self.cs.pattern()
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}
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@ -55,7 +55,7 @@
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//! | ------------------------|--------------------------------------------- |
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//! | [COO](`coo::CooMatrix`) | Well-suited for matrix construction. <br /> Ill-suited for algebraic operations. |
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//! | [CSR](`csr::CsrMatrix`) | Immutable sparsity pattern, suitable for algebraic operations. <br /> Fast row access. |
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//! | [CSC](`csr::CscMatrix`) | Immutable sparsity pattern, suitable for algebraic operations. <br /> Fast column access. |
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//! | [CSC](`csc::CscMatrix`) | Immutable sparsity pattern, suitable for algebraic operations. <br /> Fast column access. |
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//!
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//! What format is best to use depends on the application. The most common use case for sparse
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//! matrices in science is the solution of sparse linear systems. Here we can differentiate between
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