Abstract
We shall be concerned with the solution to the so-called bound constrained problems that appear in the dual formulation of both static and dynamic contact problems without friction.
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References
Dostál, Z.: Optimal Quadratic Programming Algorithms, with Applications to Variational Inequalities, 1st edn. Springer, New York (2009)
Friedlander, A., Martínez, J.M.: On the maximization of a concave quadratic function with box constraints. SIAM J. Optim. 4, 177–192 (1994)
Dostál, Z.: Box constrained quadratic programming with proportioning and projections. SIAM J. Optim. 7(3), 871–887 (1997)
Dostál, Z., Domorádová, M., Sadowská, M.: Superrelaxation in minimizing quadratic functions subject to bound constraints. Comput. Optim. Appl. 48(1), 23–44 (2011)
van der Sluis, A., van der Vorst, H.A.: The rate of convergence of the conjugate gradients. Numer. Math. 48, 543–560 (1986)
Moré, J.J., Toraldo, G.: On the solution of large quadratic programming problems with bound constraints. SIAM J. Optim. 1, 93–113 (1991)
Dostál, Z., Schöberl, J.: Minimizing quadratic functions over non-negative cone with the rate of convergence and finite termination. Comput. Optim. Appl. 30(1), 23–44 (2005)
O’Leary, D.P.: A generalised conjugate gradient algorithm for solving a class of quadratic programming problems. Linear Algebra Appl. 34, 371–399 (1980)
Hestenes, M.R., Stiefel, E.: Methods of conjugate gradients for solving linear systems. J. Res. Natl. Bur. Stand. 49, 409–436 (1952)
Polyak, B.T.: The conjugate gradient method in extremal problems. USSR Comput. Math. Math. Phys. 9, 94–112 (1969)
Calamai, P.H., Moré, J.J.: Projected gradient methods for linearly constrained problems. Math. Program. 39, 93–116 (1987)
Nocedal, J., Wright, S.F.: Numerical Optimization. Springer, New York (2000)
Friedlander, A., Martínez, J.M., Raydan, M.: A new method for large scale box constrained quadratic minimization problems. Optim. Methods Softw. 5, 57–74 (1995)
Bielschowski, R.H., Friedlander, A., Gomes, F.A.M., Martínez, J.M., Raydan, M.: An adaptive algorithm for bound constrained quadratic minimization. Invest. Oper. 7, 67–102 (1997)
Diniz-Ehrhardt, M.A., Gomes-Ruggiero, M.A., Santos, S.A.: Numerical analysis of the leaving-face criterion in bound-constrained quadratic minimization. Optim. Methods Softw. 15(1), 45–66 (2001)
Schöberl, J.: Solving the Signorini problem on the basis of domain decomposition techniques. Computing 60(4), 323–344 (1998)
Schöberl, J.: Efficient contact solvers based on domain decomposition techniques. Comput. Math. Appl. 42, 1217–1228 (2001)
Dostál, Z.: On the decrease of a quadratic function along the projected-gradient path. ETNA 31, 25–59 (2008)
Dostál, Z.: A proportioning based algorithm for bound constrained quadratic programming with the rate of convergence. Numer. Algorithms 34(2–4), 293–302 (2003)
Dostál, Z., Kozubek, T., Brzobohatý, T., Markopoulos, A., Vlach, O.: Scalable TFETI with optional preconditioning by conjugate projector for transient contact problems of elasticity. Comput. Methods Appl. Mech. Eng. 247–248, 37–50 (2012)
di Serafino, D., Ruggiero, V., Toraldo, G., Zanni, L.: On the steplength selection in gradient methods for unconstrained optimization. Appl. Math. Comput. 318, 176–195(2017)
Dostál, Z., Toraldo, G., Viola, M., Vlach, O.: Proportionality-Based Gradient Methods with Applications in Contact Mechanics. In: Kozubek, T. et al. (eds.) Procceedings of HPCSE 2017—High Performance Computing in Science and Engineering. LNCSE, vol. 11087, pp. 47–58. Springer, Cham (2018)
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Dostál, Z. (2023). MPRGP for Bound Constrained QP. In: Scalable Algorithms for Contact Problems. Advances in Mechanics and Mathematics, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-031-33580-8_8
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