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Add references for R2 and LBFGS in readme #236 #259

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Add references for R2 and LBFGS in readme #236 #259

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Expand Up @@ -21,7 +21,18 @@ and bound-constrained optimization
This package provides an implementation of four classic algorithms for unconstrained/bound-constrained nonlinear optimization:

- `lbfgs`: an implementation of a limited-memory BFGS line-search method for unconstrained minimization;
> D. C. Liu, J. Nocedal. (1989). On the limited memory BFGS method for
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> large scale optimization. *Mathematical Programming*, 45(1), 503-528.
> DOI: [10.1007/BF01589116](https://doi.org/10.1007/BF01589116)
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- `R2`: a first-order quadratic regularization method for unconstrained optimization;
> E. G. Birgin, J. L. Gardenghi, J. M. Martínez, S. A. Santos, Ph. L. Toint. (2017).
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> Worst-case evaluation complexity for unconstrained nonlinear optimization using
> high-order regularized models. *Mathematical Programming*, 163(1), 359-368.
> DOI: [10.1007/s10107-016-1065-8](https://doi.org/10.1007/s10107-016-1065-8)


- `tron`: a pure Julia implementation of TRON, a trust-region solver for bound-constrained optimization described in

> Chih-Jen Lin and Jorge J. Moré, *Newton's Method for Large Bound-Constrained
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