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readme update
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jacobwilliams committed Jan 27, 2024
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1. [LAPACK](https://www.netlib.org/lapack/) routines (`dgesv` or `dgels`) for dense systems: If `n=m`, uses `dgesv` (LU decomposition). If `n/=m`, uses `dgels` (if `m>n` uses QR factorization, if `m<n` uses LQ factorization).
2. [lsqr](https://github.com/jacobwilliams/LSQR) -- a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems.
3. [lusol](https://github.com/jacobwilliams/lusol) -- A sparse LU factorization for square and rectangular matrices, with Bartels-Golub-Reid updates for column replacement and other rank-1 modifications.
4. [lsmr](https://github.com/jacobwilliams/LSMR) -- a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems
* Has a Broyden update option.
* Has various line search options.
* use a specified constant step size (0,1]
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nlesolver-fortran = { git="https://github.com/jacobwilliams/nlesolver-fortran.git", tag="1.1.0" }
```

Note that LAPACK is required to build. The [fmin](https://github.com/jacobwilliams/fmin), [lsqr](https://github.com/jacobwilliams/LSQR), and [lusol](https://github.com/jacobwilliams/lusol) libraries are also dependencies (which will be automatically downloaded by fpm).
Note that LAPACK is required to build. The [fmin](https://github.com/jacobwilliams/fmin), [lsqr](https://github.com/jacobwilliams/LSQR), [lusol](https://github.com/jacobwilliams/lusol), and [lsmr](https://github.com/jacobwilliams/LSMR) libraries are also dependencies (which will be automatically downloaded by fpm).

### Documentation

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