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doc/specs/stdlib_specialmatrices.md
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Hence, only one vector of size `n` and two of size `n-1` need to be stored to fully represent the matrix.
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This particular structure also lends itself to specialized implementations for many linear algebra tasks.
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Interfaces to the most common ones will soon be provided by `stdlib_specialmatrices`.
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-To date, `stdlib_specialmatrices` supports the following data types:
+Tridiagonal matrices are available with all supported data types as `tridiagonal_<kind>_type`, for example:
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- `tridiagonal_sp_type` : Tridiagonal matrix of size `n` with `real`/`single precision` data.
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- `tridiagonal_dp_type` : Tridiagonal matrix of size `n` with `real`/`double precision` data.
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