Miguel Carrasco

发表

Dual convergence for penalty proximal point algorithms in convex programming

T. Champion, Felipe Álvarez Daziano, Miguel Carrasco, 2007 .

Minimization of the expected compliance as an alternative approach to multiload truss optimization

Miguel Carrasco, Felipe Alvarez, F. Alvarez, 2005 .

Hybrid extragradient proximal algorithm coupled with parametric approximation and penalty/barrier methods

Miguel Carrasco, 2013 .

Robust truss optimization using the sequential parametric convex approximation method

Julio López, A. Canelas, Miguel Carrasco, 2015 .

A Feasible Direction Algorithm for Nonlinear Second-Order Cone Optimization Problems

Julio López, A. Canelas, Miguel Carrasco, 2014 .

A new method for reliability analysis and reliability-based design optimization

Julio López, A. Canelas, Miguel Carrasco, 2019, Structural and Multidisciplinary Optimization.

A note on the convergence of an inertial version of a diagonal hybrid projection-point algorithm

Miguel Carrasco, K. Pichard, 2010 .

Dual Convergence for Penalty Algorithms in Convex Programming

F. Alvarez, T. Champion, Miguel Carrasco, 2012, J. Optim. Theory Appl..

A second-order cone programming formulation for twin support vector machines

Julio López, S. Maldonado, Miguel Carrasco, 2016, Applied Intelligence.

Application of the sequential parametric convex approximation method to the design of robust trusses

Julio López, A. Canelas, Miguel Carrasco, 2016, Journal of Global Optimization.

Robust nonparallel support vector machines via second-order cone programming

Julio López, Sebastián Maldonado, Miguel Carrasco, 2019, Neurocomputing.

Epsilon-nonparallel support vector regression

Sebastián Maldonado, Miguel Carrasco, Julio López, 2019, Applied Intelligence.

A robust formulation for twin multiclass support vector machine

Julio López, Sebastián Maldonado, Miguel Carrasco, 2017, Applied Intelligence.

A novel multi-class SVM model using second-order cone constraints

Julio López, Sebastián Maldonado, Miguel Carrasco, 2015, Applied Intelligence.

A multi-class SVM approach based on the l1-norm minimization of the distances between the reduced convex hulls

Julio López, Sebastián Maldonado, Miguel Carrasco, 2015, Pattern Recognit..

A Variance-Expected Compliance Model for Structural Optimization

B. Ivorra, A. Ramos, Miguel Carrasco, 2012, J. Optim. Theory Appl..

A variance-expected compliance approach for topology optimization

Miguel Carrasco, Benjamin Ivorra, Ángel Manuel Ramos del Olmo, 2010 .

Validation of a new variance-expected compliance model for structural optimization

Miguel Carrasco, Benjamin Ivorra, Ángel Manuel Ramos del Olmo, 2009 .

Stable and unstable trajectories in a dipolar chain

A. Concha, J. Cisternas, P. Mellado, 2020, 2012.04173.

Bioinspired magnetic active matter and the physical limits of magnetotaxis

Miguel Carrasco, E. Hamm, Néstor Sepúlveda, 2021, 2111.04889.

A novel multi-class SVM model using second-order cone constraints

Julio López, S. Maldonado, Miguel Carrasco, 2016, Applied Intelligence.

A feasible direction algorithm for nonlinear second-order cone programs

Miguel Carrasco, Julio López, Alfredo Canelas, 2018, Optim. Methods Softw..

Application of the sequential parametric convex approximation method to the design of robust trusses

Julio López, Miguel Carrasco, Alfredo Canelas, 2017, J. Glob. Optim..

Convergence of a Hybrid Projection-Proximal Point Algorithm Coupled with Approximation Methods in Convex Optimization

Miguel Carrasco, Felipe Alvarez, Karine Pichard, 2005, Math. Oper. Res..

A second-order cone programming formulation for nonparallel hyperplane support vector machine

Julio López, Sebastián Maldonado, Miguel Carrasco, 2016, Expert Syst. Appl..

Regularized minimax probability machine

Julio López, Sebastián Maldonado, Miguel Carrasco, 2019, Knowl. Based Syst..

The Cobb-Douglas Learning Machine

Julio López, Miguel Carrasco, Sebastián Maldonado, 2022, Pattern Recognit..