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Bibliography

Here are some useful references for further reading.

References

[Boyd2011]S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, “Distributed optimization and statistical learning via the alternating direction method of multipliers,” Found. Trends Mach. Learn., vol. 3, no. 1, p. 1–122, Jan. 2011.
[Stellato2020]B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd, “OSQP: an operator splitting solver for quadratic programs,”Mathematical Programming Computation, vol. 12, no. 4, pp. 637–672, 2020.
[Stathopoulos2016]G. Stathopoulos, H. Shukla, A. Szucs, Y. Pu, and C. N. Jones, Operator SplittingMethods in Control. Now Foundations and Trends, 2016.
[Goldfarb1983]Goldfarb, Donald and Ashok U. Idnani. “A numerically stable dual method for solving strictly convex quadratic programs.” Mathematical Programming 27 (1983): 1-33.
[Nocedal2006]
  1. Nocedal and S. J. Wright, Numerical Optimization, 2nd ed. New York, NY, USA: Springer, 2006.
[Ruiz2001]D. Ruiz, “A scaling algorithmto equilibrate both rows and columns norms in matrices,” Rutherford Appleton Lab, Tech. Rep., 2001.
[Biegler1984]L. T. Biegler, “Solution of dynamic optimization problems by successive quadratic programming and orthogonal collocation,” Computers & Chemical Engineering, vol. 8, no. 3, pp. 243–247, 1984.
[Fahroo2003]F. Fahroo,D. B.Doman, and A.D.Ngo, “Footprint generation for reusable launch vehicles using a direct pseudospectral method,” ser. American Control Conference, vol. 3, 2003, pp. 2163–2168.
[Benson2005]D. Benson, “A gauss pseudospectral transcription for optimal control,” Ph.D. dissertation, Massachusetts Institute of Technology, 2005.
[Huntington2007]G. Huntington, “Advancement and analysis of gauss pseudospectral transcription for optimal control problems,” Ph.D. dissertation,Massachusetts Institute of Technology, 2007.
[Trefethen2000]
    1. Trefethen "Spectral methods in MATLAB", Society for industrial and applied mathematics, 2000.
[Listov2020]P. Listov, C. Jones "PolyMPC: An efficient and extensible tool for real‐time nonlinear model predictive tracking and path following for fast mechatronic systems", Optimal Control Applications and Methods, 2020.