SU\G(𝔸)/K·U

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All published works (46)

Action Title Date Authors
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The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control 2025-05-03 Elias Wirth Mathieu Besançon Sebastian Pokutta
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Mixed-Integer Optimization for Loopless Flux Distributions in Metabolic Networks 2025-02-02 Hannah Troppens Mathieu Besançon St. Elmo Wilken Sebastian Pokutta
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Secant Line Search for Frank-Wolfe Algorithms 2025-01-30 Deborah Hendrych Mathieu Besançon David Martı́nez-Rubio Sebastian Pokutta
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Improved algorithms and novel applications of the FrankWolfe.jl library 2025-01-24 Mathieu Besançon Sébastien Designolle Jannis Halbey Deborah Hendrych Dominik Kuzinowicz Sebastian Pokutta Hannah Troppens Daniel Viladrich Herrmannsdoerfer Elias Wirth
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Efficient Sparse Flow Decomposition Methods for RNA Multi-Assembly 2025-01-24 Mathieu Besançon
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A Frank-Wolfe Algorithm for Oracle-based Robust Optimization 2024-11-29 Mathieu Besançon Jannis Kurtz
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A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP 2024-08-01 Suresh Bolusani Gioni Mexi Mathieu Besançon Mark Turner
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Scalable Frank–Wolfe on Generalized Self-Concordant Functions via Simple Steps 2024-07-02 Alejandro Carderera Mathieu Besançon Sebastian Pokutta
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The MIP Workshop 2023 Computational Competition on reoptimization 2024-06-01 Suresh Bolusani Mathieu Besançon Ambros Gleixner Timo Berthold Claudia D’Ambrosio Gonzalo Muñoz Joseph Paat Dimitri Thomopulos
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How many clues to give? A bilevel formulation for the minimum Sudoku clue problem 2024-03-07 Gennesaret Tjusila Mathieu Besançon Mark Turner Thorsten Koch
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The SCIP Optimization Suite 9.0 2024-02-27 Suresh Bolusani Mathieu Besançon Ksenia Bestuzheva Antonia Chmiela João Dionísio Tim Donkiewicz Jasper van Doornmalen Leon Eifler Mohammed Ghannam Ambros Gleixner
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Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe 2024-01-31 Kartikey Sharma Deborah Hendrych Mathieu Besançon Sebastian Pokutta
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Optimisation models for the design of multiple self-consumption loops in semi-rural areas 2024-01-01 Yohann Chasseray Mathieu Besançon Éva Petitdemange Xavier Lorca
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Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model 2024-01-01 Gioni Mexi Somayeh Shamsi Mathieu Besançon Pierre Le Bodic
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Flexible Differentiable Optimization via Model Transformations 2023-11-14 Mathieu Besançon Joaquim Dias Garcia Benoît Legat Akshay Sharma
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Enabling Research through the SCIP Optimization Suite 8.0 2023-03-10 Ksenia Bestuzheva Mathieu Besançon Wei‐Kun Chen Antonia Chmiela Tim Donkiewicz Jasper van Doornmalen Leon Eifler Oliver Gaul Gerald Gamrath Ambros Gleixner
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Improved local models and new Bell inequalities via Frank-Wolfe algorithms 2023-01-01 Sébastien Designolle Gabriele Iommazzo Mathieu Besançon Sebastian Knebel Patrick Gelß Sebastian Pokutta
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How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem 2023-01-01 Gennesaret Tjusila Mathieu Besançon Mark Turner Thorsten Koch
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Cutting Plane Selection with Analytic Centers and Multiregression 2023-01-01 Mark Turner Timo Berthold Mathieu Besançon Thorsten Koch
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Branching via Cutting Plane Selection: Improving Hybrid Branching 2023-01-01 Mark Turner Timo Berthold Mathieu Besançon Thorsten Koch
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Scylla: a matrix-free fix-propagate-and-project heuristic for mixed-integer optimization 2023-01-01 Gioni Mexi Mathieu Besançon Suresh Bolusani Antonia Chmiela Ambros Gleixner Alexander Hoen
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A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming 2023-01-01 Mark Turner Timo Berthold Mathieu Besançon
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The MIP Workshop 2023 Computational Competition on Reoptimization 2023-01-01 Suresh Bolusani Mathieu Besançon Ambros Gleixner Timo Berthold Claudia D’Ambrosio Gonzalo Muñoz Joseph Paat Dimitri Thomopulos
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Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model 2023-01-01 Gioni Mexi Somayeh Shamsi Mathieu Besançon Pierre Le Bodic
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Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods 2023-01-01 Deborah Hendrych Mathieu Besançon Sebastian Pokutta
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FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank–Wolfe Algorithms and Conditional Gradients 2022-05-11 Mathieu Besançon Alejandro Carderera Sebastian Pokutta
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Convex mixed-integer optimization with Frank-Wolfe methods 2022-01-01 Deborah Hendrych Hannah Troppens Mathieu Besançon Sebastian Pokutta
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Flexible Differentiable Optimization via Model Transformations 2022-01-01 Akshay Sharma Mathieu Besançon Joaquim Dias Garcia Benoît Legat
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Cutting Plane Selection with Analytic Centers and Multiregression 2022-01-01 Mark Turner Timo Berthold Mathieu Besançon Thorsten Koch
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Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions 2021-12-06 Alejandro Carderera Mathieu Besançon Sebastian Pokutta
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Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. 2021-10-15 Jan Macdonald Mathieu Besançon Sebastian Pokutta
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Complexity of near-optimal robust versions of multilevel optimization problems 2021-06-29 Mathieu Besançon Miguel F. Anjos Luce Brotcorne
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Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions 2021-05-28 Alejandro Carderera Mathieu Besançon Sebastian Pokutta
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<b>Distributions.jl</b>: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem 2021-01-01 Mathieu Besançon Theodore Papamarkou David Anthoff Alex Arslan Simon Byrne Dahua Lin John E. Pearson
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The SCIP Optimization Suite 8.0 2021-01-01 Ksenia Bestuzheva Mathieu Besançon Wei‐Kun Chen Antonia Chmiela Tim Donkiewicz Jasper van Doornmalen Leon Eifler Oliver Gaul Gerald Gamrath Ambros Gleixner
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Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings 2021-01-01 Jan Macdonald Mathieu Besançon Sebastian Pokutta
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Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions 2021-01-01 Alejandro Carderera Mathieu Besançon Sebastian Pokutta
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FrankWolfe.jl: a high-performance and flexible toolbox for Frank-Wolfe algorithms and Conditional Gradients 2021-01-01 Mathieu Besançon Alejandro Carderera Sebastian Pokutta
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Near-optimal robust bilevel linear instances 2020-08-31 Mathieu Besançon Miguel F. Anjos Luce Brotcorne
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Near-optimal robust bilevel linear instances 2020-08-31 Mathieu Besançon Miguel F. Anjos Luce Brotcorne
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Near-optimal robust bilevel linear instances 2020-08-31 Mathieu Besançon Miguel F. Anjos Luce Brotcorne
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A Bilevel Approach for Optimal Price-Setting of Time-and-Level-of-Use Tariffs 2020-06-08 Mathieu Besançon Miguel F. Anjos Luce Brotcorne Juan A. Gómez-Herrera
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Near-optimal robust bilevel optimization 2019-11-06 Mathieu Besançon Miguel F. Anjos Luce Brotcorne
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Robust Bilevel Optimization for Near-Optimal Lower-Level Solutions 2019-01-01 Mathieu Besançon Miguel F. Anjos Luce Brotcorne
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A Bilevel Framework for Optimal Price-Setting of Time-and-Level-of-Use Tariffs 2018-09-03 Mathieu Besançon Miguel F. Anjos Luce Brotcorne Juan A. Gómez-Herrera
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A Bilevel Approach to Optimal Price-Setting of Time-and-Level-of-Use Tariffs 2018-01-01 Mathieu Besançon Miguel F. Anjos Luce Brotcorne Juan A. Gómez-Herrera

Common Coauthors

Coauthor Papers Together
Sebastian Pokutta 16
Mark Turner 10
Miguel F. Anjos 9
Luce Brotcorne 9
Thorsten Koch 8
Ambros Gleixner 6
Timo Berthold 6
Alejandro Carderera 6
Deborah Hendrych 5
Suresh Bolusani 5
Gioni Mexi 5
Antonia Chmiela 4
Alexander Hoen 4
Juan A. Gómez-Herrera 3
Leon Eifler 3
Stefan Vigerske 3
Hannah Troppens 3
Tim Donkiewicz 3
Rolf van der Hulst 3
Erik Mühmer 3
Marc E. Pfetsch 3
Jasper van Doornmalen 3
Christoph Graczyk 3
Yuji Shinano 3
Christopher Hojny 3
Katrin Halbig 3
Dieter Weninger 3
Ksenia Bestuzheva 3
Gerald Gamrath 2
Oliver Gaul 2
Sébastien Designolle 2
Franziska Schlösser 2
Wei‐Kun Chen 2
Gonzalo Muñoz 2
Benjamin Müller 2
Philipp Wellner 2
Marco E. Lübbecke 2
Boro Sofranac 2
Daniel Rehfeldt 2
Jakob Witzig 2
Elias Wirth 2
Benoît Legat 2
Joseph Paat 2
Jan Macdonald 2
Felipe Serrano 2
Pierre Le Bodic 2
Leona Gottwald 2
Stephen J. Maher 2
Fabian Wegscheider 2
Steffan Schlein 2

Commonly Cited References

Action Title Date Authors # of times referenced
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MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library 2021-01-07 Ambros Gleixner Gregor Hendel Gerald Gamrath Tobias Achterberg Michael Bastubbe Timo Berthold Philipp M. Christophel Kati Jarck Thorsten Koch Jeff Linderoth 5
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Julia: A Fresh Approach to Numerical Computing 2017-01-01 Jeff Bezanson Alan Edelman Stefan Karpinski Viral B. Shah 5
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JuMP: A Modeling Language for Mathematical Optimization 2017-01-01 Iain Dunning Joey Huchette Miles Lubin 4
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FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank–Wolfe Algorithms and Conditional Gradients 2022-05-11 Mathieu Besançon Alejandro Carderera Sebastian Pokutta 3
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Some comments on Wolfe's ‘away step’ 1986-05-01 J Guelat Patrice Marcotte 3
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Generalized self-concordant functions: a recipe for Newton-type methods 2018-05-08 Tianxiao Sun Quoc Tran-Dinh 3
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Lazifying Conditional Gradient Algorithms 2016-01-01 Gábor Braun Sebastian Pokutta Daniel Zink 3
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Enabling Research through the SCIP Optimization Suite 8.0 2023-03-10 Ksenia Bestuzheva Mathieu Besançon Wei‐Kun Chen Antonia Chmiela Tim Donkiewicz Jasper van Doornmalen Leon Eifler Oliver Gaul Gerald Gamrath Ambros Gleixner 3
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MIPLIB 2010 2011-06-01 Thorsten Koch Tobias Achterberg Erling Andersen Oliver Bastert Timo Berthold Robert E. Bixby Emilie Danna Gerald Gamrath Ambros Gleixner Stefan Heinz 2
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Finite-sample analysis of $M$-estimators using self-concordance 2021-01-01 Dmitrii M. Ostrovskii Francis Bach 2
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The confined primal integral: a measure to benchmark heuristic MINLP solvers against global MINLP solvers 2020-07-29 Timo Berthold Zsolt Csizmadia 2
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Pessimistic Bilevel Optimization 2013-01-01 Wolfram Wiesemann Angelos Tsoukalas Polyxeni‐Margarita Kleniati Berç Rüstem 2
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A framework for generalized Benders’ decomposition and its application to multilevel optimization 2022-01-29 Suresh Bolusani Ted K. Ralphs 2
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Conditional Gradient Methods 2022-01-01 Gábor Braun Alejandro Carderera Cyrille W. Combettes Hamed Hassani Amin Karbasi Aryan Mokhtari Sebastian Pokutta 2
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Solving Natural Conic Formulations with Hypatia.jl 2022-06-03 Chris Coey Lea Kapelevich Juan Pablo Vielma 2
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Generalized self-concordant analysis of Frank–Wolfe algorithms 2022-01-29 Pavel Dvurechensky Kamil Safin Shimrit Shtern Mathias Staudigl 2
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Optim: A mathematical optimization package for Julia 2018-04-04 Patrick Kofod Mogensen Asbjørn Nilsen Riseth 2
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Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm 2020-01-01 Marc Ethève Zacharie Alès Côme Bissuel Olivier Juan Safia Kedad‐Sidhoum 2
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Analysis of the Frank–Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier 2022-05-14 Renbo Zhao Robert M. Freund 2
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Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach 2022-08-02 Asunción Jiménez-Cordero Juan M. Morales Salvador Pineda 2
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Greedy Approximation in Convex Optimization 2015-01-20 Vladimir Temlyakov 2
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SCIP: global optimization of mixed-integer nonlinear programs in a branch-and-cut framework 2017-06-14 Stefan Vigerske Ambros Gleixner 2
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On the Global Linear Convergence of Frank-Wolfe Optimization Variants 2015-01-01 Simon Lacoste-Julien Martin Jaggi 2
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Gradient methods for minimizing composite functions 2012-12-20 Yu. Nesterov 2
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The Matching Polytope has Exponential Extension Complexity 2017-09-28 Thomas Rothvoß 2
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Composite Convex Minimization Involving Self-concordant-Like Cost Functions 2015-01-01 Quoc Tran-Dinh Yen-Huan Li Volkan Cevher 2
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Nonclassicality threshold for the three-qubit Greenberger-Horne-Zeilinger state 2011-10-28 Tamás Vértesi Károly F. Pál 1
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Weak via strong Stackelberg problem: New results 1996-04-01 P. Loridan Jacqueline Morgan 1
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Sensitivity and stability analysis for nonlinear programming 1990-12-01 Anthony V. Fiacco Yo Ishizuka 1
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On the relationship between convex bodies related to correlation experiments with dichotomic observables 2006-08-18 David Avis Hiroshi Imai Tsuyoshi Ito 1
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The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses 1938-03-01 S. S. Wilks 1
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Multiqubit<i>W</i>states lead to stronger nonclassicality than Greenberger-Horne-Zeilinger states 2003-12-09 Aditi Sen Ujjwal Sen Marcin Wieśniak Dagomir Kaszlikowski Marek Żukowski 1
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Exploiting orbits in symmetric ILP 2003-09-01 F. Margot 1
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Nonclassicality thresholds for multiqubit states: Numerical analysis 2010-07-30 Jacek Gruca Wiesław Laskowski Marek Żukowski Nikolai Kiesel Witlef Wieczorek Christian Schmid Harald Weinfurter 1
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NP-Completeness of the linear complementarity problem 1989-03-01 S.J. Chung 1
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Generalized semi-infinite programming: Theory and methods 1999-12-01 Georg Still 1
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Remarks on Some Nonparametric Estimates of a Density Function 1956-09-01 Murray Rosenblatt 1
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Very Deep Convolutional Networks for Large-Scale Image Recognition 2014-09-04 Karen Simonyan Andrew Zisserman 1
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Generalized equations and their solutions, part II: Applications to nonlinear programming 1982-01-01 Stephen M. Robinson 1
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Distance-Weighted Discrimination 2007-12-01 J. S. Marron Michael J. Todd Jeongyoun Ahn 1
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Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models 2005-03-01 Andrew McCulloch 1
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Classification of multiqubit mixed states: Separability and distillability properties 2000-03-17 Wolfgang Dür J. I. Cirac 1
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Bell’s Theorem for General<i>N</i>-Qubit States 2002-05-09 Marek Żukowski Časlav Brukner 1
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Das asymptotische Verteilungsgesetz der Eigenwerte linearer partieller Differentialgleichungen (mit einer Anwendung auf die Theorie der Hohlraumstrahlung) 1912-12-01 Hermann Weyl 1
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More efficient Bell inequalities for Werner states 2008-09-17 Tamás Vértesi 1
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Computing the nearest correlation matrix--a problem from finance 2002-07-01 Nicholas J. Higham 1
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Convergence properties of generalized benders decomposition 1991-07-01 Nikolaos V. Sahinidis Ignacio E. Grossmann 1
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Solving bilevel programs with the KKT-approach 2012-04-02 Gemayqzel Bouza Allende Georg Still 1
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Using the analytic center in the feasibility pump 2011-08-02 Daniel Baena Jordi Castro 1
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Matrix Completion With Noise 2010-04-30 Emmanuel J. Candès Yaniv Plan 1