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Log Transformation Improves Dating of Phylogenies.
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- Molecular Biology & Evolution, 2021, v. 38, n. 3, p. 1151, doi. 10.1093/molbev/msaa222
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Interval Uncertainty-Based Robust Optimization for Convex and Non-Convex Quadratic Programs with Applications in Network Infrastructure Planning.
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- Networks & Spatial Economics, 2011, v. 11, n. 1, p. 159, doi. 10.1007/s11067-010-9150-7
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- Article
A new proximal heavy ball inexact line-search algorithm.
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- Computational Optimization & Applications, 2024, v. 88, n. 2, p. 525, doi. 10.1007/s10589-024-00565-9
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Equilibrium modeling and solution approaches inspired by nonconvex bilevel programming.
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- Computational Optimization & Applications, 2024, v. 87, n. 2, p. 641, doi. 10.1007/s10589-023-00524-w
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Optimality conditions for Tucker low-rank tensor optimization.
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- Computational Optimization & Applications, 2023, v. 86, n. 3, p. 1275, doi. 10.1007/s10589-023-00465-4
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On solving difference of convex functions programs with linear complementarity constraints.
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- Computational Optimization & Applications, 2023, v. 86, n. 1, p. 163, doi. 10.1007/s10589-023-00487-y
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Effective algorithms for separable nonconvex quadratic programming with one quadratic and box constraints.
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- Computational Optimization & Applications, 2023, v. 86, n. 1, p. 199, doi. 10.1007/s10589-023-00485-0
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A two-level distributed algorithm for nonconvex constrained optimization.
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- Computational Optimization & Applications, 2023, v. 84, n. 2, p. 609, doi. 10.1007/s10589-022-00433-4
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A reduced proximal-point homotopy method for large-scale non-convex BQP.
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- Computational Optimization & Applications, 2022, v. 81, n. 2, p. 539, doi. 10.1007/s10589-021-00330-2
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Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems.
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- Computational Optimization & Applications, 2021, v. 79, n. 3, p. 561, doi. 10.1007/s10589-021-00282-7
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Nonconvex robust programming via value-function optimization.
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- Computational Optimization & Applications, 2021, v. 78, n. 2, p. 411, doi. 10.1007/s10589-020-00245-4
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A bundle method for nonsmooth DC programming with application to chance-constrained problems.
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- Computational Optimization & Applications, 2021, v. 78, n. 2, p. 451, doi. 10.1007/s10589-020-00241-8
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An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem.
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- Computational Optimization & Applications, 2021, v. 78, n. 1, p. 287, doi. 10.1007/s10589-020-00237-4
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Tractable ADMM schemes for computing KKT points and local minimizers for ℓ0-minimization problems.
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- Computational Optimization & Applications, 2021, v. 78, n. 1, p. 43, doi. 10.1007/s10589-020-00227-6
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General inertial proximal gradient method for a class of nonconvex nonsmooth optimization problems.
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- Computational Optimization & Applications, 2019, v. 73, n. 1, p. 129, doi. 10.1007/s10589-019-00073-1
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A framework for parallel second order incremental optimization algorithms for solving partially separable problems.
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- Computational Optimization & Applications, 2019, v. 72, n. 3, p. 675, doi. 10.1007/s10589-018-00057-7
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Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis.
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- Computational Optimization & Applications, 2019, v. 72, n. 1, p. 115, doi. 10.1007/s10589-018-0034-y
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A penalty method for rank minimization problems in symmetric matrices.
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- Computational Optimization & Applications, 2018, v. 71, n. 2, p. 353, doi. 10.1007/s10589-018-0010-6
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A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis.
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- Computational Optimization & Applications, 2018, v. 70, n. 2, p. 395, doi. 10.1007/s10589-018-0002-6
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Time-optimal velocity planning by a bound-tightening technique.
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- Computational Optimization & Applications, 2018, v. 70, n. 1, p. 61, doi. 10.1007/s10589-017-9978-6
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Peaceman-Rachford splitting for a class of nonconvex optimization problems.
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- Computational Optimization & Applications, 2017, v. 68, n. 2, p. 407, doi. 10.1007/s10589-017-9915-8
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$$S_{1/2}$$ regularization methods and fixed point algorithms for affine rank minimization problems.
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- Computational Optimization & Applications, 2017, v. 67, n. 3, p. 543, doi. 10.1007/s10589-017-9898-5
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A robust Lagrangian-DNN method for a class of quadratic optimization problems.
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- Computational Optimization & Applications, 2017, v. 66, n. 3, p. 453, doi. 10.1007/s10589-016-9879-0
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Conjugate gradient acceleration of iteratively re-weighted least squares methods.
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- Computational Optimization & Applications, 2016, v. 65, n. 1, p. 205, doi. 10.1007/s10589-016-9839-8
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A semismooth Newton method for tensor eigenvalue complementarity problem.
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- Computational Optimization & Applications, 2016, v. 65, n. 1, p. 109, doi. 10.1007/s10589-016-9838-9
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Global minima for semilinear optimal control problems.
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- Computational Optimization & Applications, 2016, v. 65, n. 1, p. 261, doi. 10.1007/s10589-016-9833-1
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Convex reformulations for solving a nonlinear network design problem.
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- Computational Optimization & Applications, 2015, v. 62, n. 3, p. 717, doi. 10.1007/s10589-015-9756-2
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Revisiting several problems and algorithms in continuous location with l<sub>τ</sub> norms.
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- Computational Optimization & Applications, 2014, v. 58, n. 3, p. 563, doi. 10.1007/s10589-014-9638-z
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A numerical method for nonconvex multi-objective optimal control problems.
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- Computational Optimization & Applications, 2014, v. 57, n. 3, p. 685, doi. 10.1007/s10589-013-9603-2
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An alternating structured trust region algorithm for separable optimization problems with nonconvex constraints.
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- Computational Optimization & Applications, 2014, v. 57, n. 2, p. 365, doi. 10.1007/s10589-013-9597-9
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Preconditioning Newton–Krylov methods in nonconvex large scale optimization.
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- Computational Optimization & Applications, 2013, v. 56, n. 2, p. 253, doi. 10.1007/s10589-013-9563-6
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Improved constraint consensus methods for seeking feasibility in nonlinear programs.
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- Computational Optimization & Applications, 2013, v. 54, n. 3, p. 555, doi. 10.1007/s10589-012-9473-z
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A class of nonlinear Lagrangians for nonconvex second order cone programming.
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- Computational Optimization & Applications, 2011, v. 49, n. 1, p. 61, doi. 10.1007/s10589-009-9279-9
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Canonical dual least square method for solving general nonlinear systems of quadratic equations.
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- Computational Optimization & Applications, 2010, v. 47, n. 2, p. 335, doi. 10.1007/s10589-008-9222-5
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Global optimization of truss topology with discrete bar areas—Part II: Implementation and numerical results.
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- Computational Optimization & Applications, 2009, v. 44, n. 2, p. 315, doi. 10.1007/s10589-007-9152-7
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Globally solving box-constrained nonconvex quadratic programs with semidefinite-based finite branch-and-bound.
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- Computational Optimization & Applications, 2009, v. 43, n. 2, p. 181, doi. 10.1007/s10589-007-9137-6
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A generalized conditional gradient method and its connection to an iterative shrinkage method.
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- Computational Optimization & Applications, 2009, v. 42, n. 2, p. 173, doi. 10.1007/s10589-007-9083-3
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Interior-point methods for nonconvex nonlinear programming: regularization and warmstarts.
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- Computational Optimization & Applications, 2008, v. 40, n. 2, p. 143, doi. 10.1007/s10589-007-9089-x
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Matching-based preprocessing algorithms to the solution of saddle-point problems in large-scale nonconvex interior-point optimization.
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- Computational Optimization & Applications, 2007, v. 36, n. 2/3, p. 321, doi. 10.1007/s10589-006-9003-y
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Convex Kernel Underestimation of Functions with Multiple Local Minima.
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- Computational Optimization & Applications, 2006, v. 34, n. 1, p. 35, doi. 10.1007/s10589-005-3072-1
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Optimization of a Long-Short Portfolio under Nonconvex Transaction Cost.
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- Computational Optimization & Applications, 2005, v. 32, n. 1/2, p. 115, doi. 10.1007/s10589-005-2056-5
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Numerical Comparison of Augmented Lagrangian Algorithms for Nonconvex Problems.
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- Computational Optimization & Applications, 2005, v. 31, n. 1, p. 31, doi. 10.1007/s10589-005-1066-7
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Exact Solutions of Some Nonconvex Quadratic Optimization Problems via SDP and SOCP Relaxations.
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- Computational Optimization & Applications, 2003, v. 26, n. 2, p. 143, doi. 10.1023/A:1025794313696
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Interior-Point Methods for Nonconvex Nonlinear Programming: Filter Methods and Merit Functions.
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- Computational Optimization & Applications, 2002, v. 23, n. 2, p. 257, doi. 10.1023/A:1020533003783
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A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 4, p. 1, doi. 10.1002/nla.2361
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Nonconvex Model of Material Growth: Mathematical Theory.
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- Archive for Rational Mechanics & Analysis, 2018, v. 230, n. 3, p. 839, doi. 10.1007/s00205-018-1259-8
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Optimal Micropatterns in 2D Transport Networks and Their Relation to Image Inpainting.
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- Archive for Rational Mechanics & Analysis, 2018, v. 228, n. 1, p. 279, doi. 10.1007/s00205-017-1192-2
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BV-Regularity of the Boltzmann Equation in Non-Convex Domains.
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- Archive for Rational Mechanics & Analysis, 2016, v. 220, n. 3, p. 1045, doi. 10.1007/s00205-015-0948-9
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Lower Bound for the Energy of Bloch Walls in Micromagnetics.
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- Archive for Rational Mechanics & Analysis, 2011, v. 199, n. 2, p. 369, doi. 10.1007/s00205-010-0325-7
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Uplink optimal power allocation for heterogeneous multiuser SIMO SC-FDMA networks.
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- Electronics Letters (Wiley-Blackwell), 2016, v. 52, n. 24, p. 1990, doi. 10.1049/el.2016.2872
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