Ioannis Akrotirianakis

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All published works
Action Title Year Authors
+ PDF Chat Resiliency Analysis of LLM generated models for Industrial Automation 2023 Oluwatosin Ogundare
Gustavo Quiros Araya
Ioannis Akrotirianakis
Ankit Shukla
+ Resiliency Analysis of LLM generated models for Industrial Automation 2023 Oluwatosin Ogundare
Gustavo Quiros Araya
Ioannis Akrotirianakis
Ankit Shukla
+ Simultaneous iterative solutions for the trust-region and minimum eigenvalue subproblem 2020 Ioannis Akrotirianakis
M. Gratton
Joshua Griffin
S. Yektamaram
Wanlei Zhou
+ A matrix-free line-search algorithm for nonconvex optimization 2017 Wendy Zhou
Ioannis Akrotirianakis
S. Yektamaram
Joshua Griffin
+ PDF Chat Proximal gradient method for huberized support vector machine 2015 Yangyang Xu
Ioannis Akrotirianakis
Amit Chakraborty
+ PDF Chat Alternating Direction Method of Multipliers for Regularized Multiclass Support Vector Machines 2015 Yangyang Xu
Ioannis Akrotirianakis
Amit Chakraborty
+ Alternating direction method of multipliers for regularized multiclass support vector machines 2015 Yangyang Xu
Ioannis Akrotirianakis
Amit Chakraborty
+ PDF Chat HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection 2014 Zhiwei Qin
Xiaocheng Tang
Ioannis Akrotirianakis
Amit Chakraborty
+ HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection 2014 Zhiwei Qin
Xiaocheng Tang
Ioannis Akrotirianakis
Amit Chakraborty
+ Interior point methods for nonlinear programming and application to mixed integer nonlinear programming 2011 Ioannis Akrotirianakis
+ Globally Convergent Interior-Point Algorithm for Nonlinear Programming 2005 Ioannis Akrotirianakis
Berç RĂŒstem
+ PDF Chat Global optimization in the 21st century: Advances and challenges 2005 Christodoulos A. Floudas
Ioannis Akrotirianakis
Stavros Caratzoulas
Clifford A. Meyer
Josef Kallrath
+ A New Class of Improved Convex Underestimators for Twice Continuously Differentiable Constrained NLPs 2004 Ioannis Akrotirianakis
Christodoulos A. Floudas
+ Computational Experience with a New Class of Convex Underestimators: Box-constrained NLP Problems 2004 Ioannis Akrotirianakis
Christodoulos A. Floudas
+ PDF Chat An outer approximation based branch and cut algorithm for convex 0-1 MINLP problems 2001 Berç RĂŒstem
Ioannis Akrotirianakis
IstvĂĄn Maros
+ A primal–dual interior point algorithm with an exact and differentiable merit function for nonlinear programming 2000 Ioannis Akrotirianakis
Berç RĂŒstem
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ A global optimization method, αBB, for general twice-differentiable constrained NLPs—II. Implementation and computational results 1998 Claire S. Adjiman
Ioannis P. Androulakis
Christodoulos A. Floudas
3
+ Handbook of Test Problems in Local and Global Optimization 1999 Christodoulos A. Floudas
PĂŁnos M. Pardalos
Claire S. Adjiman
William R. Esposito
Zeynep H. GĂŒmĂŒĆŸ
Stephen T. Harding
John L. Klepeis
Clifford A. Meyer
Carl A. Schweiger
3
+ PDF Chat Variable selection for the multicategory SVM via adaptive sup-norm regularization 2008 Hao Helen Zhang
Yufeng Liu
Yichao Wu
Ji Zhu
3
+ A global optimization method, αBB, for general twice-differentiable constrained NLPs — I. Theoretical advances 1998 Claire S. Adjiman
S. Dallwig
Christodoulos A. Floudas
Arnold Neumaier
3
+ Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones 1999 J.F. Sturm
3
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
3
+ None 1999 Robert J. Vanderbei
David F. Shanno
3
+ Test Examples for Nonlinear Programming Codes 1981 Willi Hock
Klaus Schittkowski
3
+ PDF Chat Stochastic global optimization methods part I: Clustering methods 1987 A. H. G. Rinnooy Kan
G. T. Timmer
2
+ Sequential Quadratic Programming 1995 Paul T. Boggs
Jon W. Tolle
2
+ A fast algorithm for nonlinearly constrained optimization calculations 1978 M. J. D. Powell
2
+ The multiplier method of Hestenes and Powell applied to convex programming 1973 R. T. Rockafellar
2
+ PDF Chat Optimization for Machine Learning 2011 Suvrit Sra
Sebastian Nowozin
Stephen J. Wright
2
+ PDF Chat Solving the Trust-Region Subproblem using the Lanczos Method 1999 Nicholas I. M. Gould
Stefano Lucidi
Massimo Roma
Philippe L. Toint
2
+ A new reformulation-linearization technique for bilinear programming problems 1992 Hanif D. Sherali
Amine Alameddine
2
+ PDF Chat On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators 1992 Jonathan Eckstein
Dimitri P. Bertsekas
2
+ On the formulation and theory of the Newton interior-point method for nonlinear programming 1996 Amr El-Bakry
R. A. Tapia
Takashi Tsuchiya
Y. Zhang
2
+ On the convergence of global methods in multiextremal optimization 1987 Reiner Horst
Hoàng TỄy
2
+ An Interior-Point Method for Large-Scale l 1 -Regularized Logistic Regression 2007 Kwangmoo Koh
Seung-Jean Kim
Stephen Boyd
2
+ Convergent stepsizes for constrained optimization algorithms 1986 Berç RĂŒstem
2
+ PDF Chat Stochastic global optimization methods part II: Multi level methods 1987 A. H. G. Rinnooy Kan
G. T. Timmer
2
+ PDF Chat Object-oriented software for quadratic programming 2003 E. Michael Gertz
Stephen J. Wright
2
+ PDF Chat Model Selection and Estimation in Regression with Grouped Variables 2005 Ming Yuan
Yi Lin
2
+ Updating the Inverse of a Matrix 1989 William W. Hager
2
+ Equality and inequality constrained optimization algorithms with convergent stepsizes 1993 Berç RĂŒstem
2
+ Towards an Efficient Sparsity Exploiting Newton Method for Minimization 1981 Philippe L. Toint
2
+ A globally convergent primal-dual interior point method for constrained optimization 1998 Hiroshi Yamashita
2
+ Polynomiality of infeasible-interior-point algorithms for linear programming 1994 Shinji Mizuno
2
+ Minimizing a Quadratic Over a Sphere 2001 William W. Hager
2
+ Trust Region Methods 2000 Andrew R. Conn
Nicholas I. M. Gould
Philippe L. Toint
2
+ Superlinear and quadratic convergence of some primal-dual interior point methods for constrained optimization 1996 Hiroshi Yamashita
Hiroshi Yabe
2
+ Computational Experience with a New Class of Convex Underestimators: Box-constrained NLP Problems 2004 Ioannis Akrotirianakis
Christodoulos A. Floudas
2
+ Stochastic techniques for global optimization: A survey of recent advances 1991 Fabio Schoen
2
+ A Fast Hybrid Algorithm for Large-Scale l 1 -Regularized Logistic Regression 2010 Jianing Shi
Wotao Yin
Stanley Osher
Paul Sajda
2
+ PDF Chat The Conjugate Gradient Method and Trust Regions in Large Scale Optimization 1983 Trond Steihaug
2
+ Approximations of the critical region of the fbietkan statistic 1980 Ronald L. Iman
James M. Davenport
2
+ More Test Examples for Nonlinear Programming Codes 1987 Klaus Schittkowski
2
+ Implementation of Interior Point Methods for Large Scale Linear Programming 1996 Erling D. Andersen
Jacek Gondzio
Csaba MĂ©szĂĄros
Xiaojie Xu
2
+ A branch-and-reduce approach to global optimization 1996 Hong S. Ryoo
Nikolaos V. Sahinidis
2
+ A New Class of Improved Convex Underestimators for Twice Continuously Differentiable Constrained NLPs 2004 Ioannis Akrotirianakis
Christodoulos A. Floudas
2
+ PDF Chat Proximal Splitting Methods in Signal Processing 2011 Patrick L. Combettes
Jean‐Christophe Pesquet
2
+ Computational experience with a primal-dual interior point method for linear programming 1991 Irvin J. Lustig
Roy E. Marsten
David F. Shanno
2
+ PDF Chat A New Matrix-Free Algorithm for the Large-Scale Trust-Region Subproblem 2001 Marielba Rojas
Sandra A. Santos
Danny C. Sorensen
2
+ None 2001 Hans-Martin Gutmann
1
+ PDF Chat A reformulation-linearization technique for solving discrete and continuous nonconvex problems 1999 Hanif D. Sherali
Warren P. Adams
1
+ None 2001 Mohit Tawarmalani
Nikolaos V. Sahinidis
1
+ A Deterministic Global Optimization Algorithm for Problems with Nonlinear Dynamics 2004 Claire S. Adjiman
Ioannis Papamichail
1
+ Primal-Dual Interior-Point Methods 1997 Stephen J. Wright
1
+ None 2003 Leo Liberti
Constantinos C. Pantelides
1
+ Statistical Comparisons of Classifiers over Multiple Data Sets 2006 Janez DemĆĄar
1