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An exterior point polynomial-time algorithm for convex quadratic programming

Tian, Da - In: Computational Optimization and Applications 61 (2015) 1, pp. 51-78

<Para ID="Par1">In this paper an exterior point polynomial time algorithm for convex quadratic programming problems is proposed. We convert a convex quadratic program into an unconstrained convex program problem with a self-concordant objective function. We show that, only with duality, the Path-following...</para>

Persistent link: https://www.econbiz.de/10011241265

Algebraic rules for quadratic regularization of Newton’s method

Karas, Elizabeth; Santos, Sandra; Svaiter, Benar - In: Computational Optimization and Applications 60 (2015) 2, pp. 343-376

continuous Hessian. These methods are based on the quadratic regularization of Newton’s method, with algebraic explicit rules for …

Persistent link: https://www.econbiz.de/10011241274

Preconditioned iterative regularization in Banach spaces

Brianzi, Paola; Benedetto, Fabio Di; Estatico, Claudio - In: Computational Optimization and Applications 54 (2013) 2, pp. 263-282

Regularization methods for inverse problems formulated in Hilbert spaces usually give rise to over-smoothness, which … hand, regularization methods recently introduced in Banach spaces allow in general to obtain better localization and …

Persistent link: https://www.econbiz.de/10010998292

A double smoothing technique for solving unconstrained nondifferentiable convex optimization problems

Boţ, Radu; Hendrich, Christopher - In: Computational Optimization and Applications 54 (2013) 2, pp. 239-262

theoretical results are finally applied to an l <Subscript>1</Subscript> regularization problem arising in image processing …

Persistent link: https://www.econbiz.de/10010998330

Virtual control regularization of state constrained linear quadratic optimal control problems

Gerdts, Matthias; Hüpping, Björn - In: Computational Optimization and Applications 51 (2012) 2, pp. 867-882

Persistent link: https://www.econbiz.de/10010998334

Regularization for semilinear elliptic optimal control problems with pointwise state and control constraints

Krumbiegel, Klaus; Neitzel, Ira; Rösch, Arnd - In: Computational Optimization and Applications 52 (2012) 1, pp. 181-207

Persistent link: https://www.econbiz.de/10010998358

A virtual control concept for state constrained optimal control problems

Krumbiegel, K.; Rösch, A. - In: Computational Optimization and Applications 43 (2009) 2, pp. 213-233

Persistent link: https://www.econbiz.de/10004995502

Addressing the greediness phenomenon in Nonlinear Programming by means of Proximal Augmented Lagrangians

Castelani, Emerson; Martinez, André; Martínez, J.; … - In: Computational Optimization and Applications 46 (2010) 2, pp. 229-245

Persistent link: https://www.econbiz.de/10008533943

Path-following for optimal control of stationary variational inequalities

Kunisch, Karl; Wachsmuth, Daniel - In: Computational Optimization and Applications 51 (2012) 3, pp. 1345-1373

Persistent link: https://www.econbiz.de/10010539368

Decomposition algorithms for generalized potential games

Facchinei, Francisco; Piccialli, Veronica; Sciandrone, Marco - In: Computational Optimization and Applications 50 (2011) 2, pp. 237-262

Persistent link: https://www.econbiz.de/10009325274