Alan Edelman

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All published works
Action Title Year Authors
+ PDF Chat Scalable higher-order nonlinear solvers via higher-order automatic differentiation 2025 Shubin Tan
Keming Miao
Alan Edelman
Christopher Rackauckas
+ PDF Chat Matrix Calculus (for Machine Learning and Beyond) 2025 Paige Bright
Alan Edelman
Steven G. Johnson
+ PDF Chat On the Limit of the Tridiagonal Model for $\beta$-Dyson Brownian Motion 2024 Alan Edelman
Sungwoo Jeong
Ron Nissim
+ PDF Chat On a perturbation analysis of Higham squared maximum Gaussian elimination growth matrices 2024 Alan Edelman
John Urschel
Bowen Zhu
+ PDF Chat Mapping Out Phase Diagrams with Generative Classifiers 2024 Julian Arnold
Frank Schäfer
Alan Edelman
Christoph Bruder
+ PDF Chat Some New Results on the Maximum Growth Factor in Gaussian Elimination 2024 Alan Edelman
John Urschel
+ PDF Chat Convex Network Flows 2024 Theo Diamandis
Guillermo Angeris
Alan Edelman
+ PDF Chat NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia 2024 Avik Pal
Flemming Holtorf
Axel Larsson
Torkel E. Loman
Utkarsh Azad
Frank Schaefer
Qingyu Qu
Alan Edelman
Christopher Rackauckas
+ PDF Chat Backpropagation through Back Substitution with a Backslash 2024 Alan Edelman
Ekin Akyürek
Yuyang Wang
+ PDF Chat Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity 2023 Avik Pal
Alan Edelman
Christopher Rackauckas
+ PDF Chat Fifty Three Matrix Factorizations: A Systematic Approach 2023 Alan Edelman
Sungwoo Jeong
+ Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! 2023 Avik Pal
Alan Edelman
Christopher Rackauckas
+ Some New Results on the Maximum Growth Factor in Gaussian Elimination 2023 Alan Edelman
John Urschel
+ Backpropagation through Back Substitution with a Backslash 2023 Alan Edelman
Ekin Akyürek
Yuyang Wang
+ Performance Bounds for Quantum Control 2023 Flemming Holtorf
Frank Schäfer
Julian Arnold
Christopher Rackauckas
Alan Edelman
+ Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms 2023 Utkarsh Utkarsh
Valentin Churavy
Yingbo Ma
Tim Besard
Prakitr Srisuma
Tim Gymnich
Adam R. Gerlach
Alan Edelman
George Barbastathis
Richard D. Braatz
+ The conditional DPP approach to random matrix distributions 2023 Alan Edelman
Sungwoo Jeong
+ Mapping out phase diagrams with generative classifiers 2023 Julian Arnold
Frank Schäfer
Alan Edelman
Christoph Bruder
+ Oceananigans.jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations 2023 Simone Silvestri
Gregory LeClaire Wagner
Christopher Hill
Matin Raayai Ardakani
Johannes Blaschke
Jean‐Michel Campin
Valentin Churavy
Navid C. Constantinou
Alan Edelman
John Marshall
+ A New Upper Bound For the Growth Factor in Gaussian Elimination with Complete Pivoting 2023 Ankit Bisain
Alan Edelman
John Urschel
+ PDF Chat On the structure of the solutions to the matrix equation G⁎JG = J 2022 Alan Edelman
Sungwoo Jeong
+ PDF Chat Composing Modeling And Simulation With Machine Learning In Julia 2022 Christopher Rackauckas
Maja Gwóźdź
Anand Jain
Yingbo Ma
Francesco Martinuzzi
Utkarsh Rajput
Elliot Saba
Viral B. Shah
Ranjan Anantharaman
Alan Edelman
+ PDF Chat On the Cartan decomposition for classical random matrix ensembles 2022 Alan Edelman
Sungwoo Jeong
+ Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to Infinity 2022 Avik Pal
Alan Edelman
Christopher Rackauckas
+ Bridging HPC Communities through the Julia Programming Language 2022 Valentin Churavy
William F. Godoy
Carsten Bauer
Hendrik Ranocha
Michael Schlottke‐Lakemper
Ludovic Räss
Johannes Blaschke
Mosè Giordano
Erik Schnetter
Samuel Omlin
+ PDF Chat High-performance symbolic-numerics via multiple dispatch 2021 Shashi Gowda
Yingbo Ma
Alessandro Cheli
Maja Gwóźzdź
Viral B. Shah
Alan Edelman
Christopher Rackauckas
+ High-performance symbolic-numerics via multiple dispatch 2021 Shashi Gowda
Yingbo Ma
Alessandro Cheli
Maja Gwóźdź
Viral B. Shah
Alan Edelman
Christopher Rackauckas
+ On the structure of the solutions to the matrix equation $G^*JG=J$ 2021 Alan Edelman
Sungwoo Jeong
+ High-performance symbolic-numerics via multiple dispatch 2021 Shashi Gowda
Yingbo Ma
Alessandro Cheli
Maja Gwóźdź
Viral B. Shah
Alan Edelman
Christopher Rackauckas
+ Fifty Three Matrix Factorizations: A systematic approach 2021 Alan Edelman
Sungwoo Jeong
+ Composing Modeling and Simulation with Machine Learning in Julia 2021 Christopher Rackauckas
Ranjan Anantharaman
Alan Edelman
Shashi Gowda
Maja Gwóźdź
Anand Jain
Chris Laughman
Yingbo Ma
Francesco Martinuzzi
Avik Pal
+ The generalized Cartan decomposition for classical random matrix ensembles 2020 Alan Edelman
Sungwoo Jeong
+ ACED: Accelerated Computational Electrochemical systems Discovery. 2020 Rachel C. Kurchin
Eric S. Muckley
Lance Kavalsky
Vinay I. Hegde
Dhairya Gandhi
Xiao-Yu Sun
Matthew Johnson
Alan Edelman
James E. Saal
Christopher Rackauckas
+ PDF Chat Universal Differential Equations for Scientific Machine Learning 2020 Christopher Rackauckas
Yingbo Ma
Carl Julius Martensen
Collin Warner
Kirill Zubov
Rohit Supekar
Dominic J. Skinner
Ali Ramadhan
Alan Edelman
+ PDF Chat Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions 2020 Ranjan Anantharaman
Kimberly R. Hall
Viral B. Shah
Alan Edelman
+ PDF Chat A multi-control climate policy process for a trusted decision maker 2020 Henri F. Drake
Ronald L. Rivest
J. M. Deutch
Alan Edelman
+ Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks 2020 Ranjan Anantharaman
Yingbo Ma
Shashi Gowda
Chris Laughman
Viral B. Shah
Alan Edelman
Christopher Rackauckas
+ PDF Chat The GSVD: Where are the Ellipses?, Matrix Trigonometry, and More 2020 Alan Edelman
Yuyang Wang
+ AutoMat: Accelerated Computational Electrochemical systems Discovery 2020 Emil Annevelink
Rachel C. Kurchin
Eric S. Muckley
Lance Kavalsky
Vinay I. Hegde
Valentin Sulzer
Shang Zhu
Jiankun Pu
David Fariña
Matthew S. Johnson
+ Universal Differential Equations for Scientific Machine Learning 2020 Christopher Rackauckas
Yingbo Ma
Carl Julius Martensen
Collin Warner
Kirill Zubov
Rohit Supekar
Dominic J. Skinner
Ali J. Ramadhan
Alan Edelman
+ Signal Enhancement for Magnetic Navigation Challenge Problem 2020 Albert R. Gnadt
J. Belarge
Aaron Canciani
Glenn Carl
Lauren Conger
Joseph Curro
Alan Edelman
Peter Morales
Aaron P. Nielsen
Michael O’Keeffe
+ PDF Chat The densities and distributions of the largest eigenvalue and the trace of a Beta–Wishart matrix 2019 Vesselin Drensky
Alan Edelman
Tierney Genoar
Raymond Kan
Plamen Koev
+ Zygote: A Differentiable Programming System to Bridge Machine Learning and Scientific Computing 2019 Mike Innes
Alan Edelman
Keno Fischer
Christopher Rackauckas
Elliot Saba
Viral B. Shah
Will Tebbutt
+ Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions 2019 Ranjan Anantharaman
Kimberly R. Hall
Viral B. Shah
Alan Edelman
+ Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions 2019 Ranjan Anantharaman
Kimberly R. Hall
Viral N. Shah
Alan Edelman
+ A Differentiable Programming System to Bridge Machine Learning and Scientific Computing 2019 Mike Innes
Alan Edelman
Keno Fischer
Christopher Rackauckas
Elliot Saba
Viral B Shah
Will Tebbutt
+ PDF Chat On computing Schur functions and series thereof 2018 Cy Chan
Vesselin Drensky
Alan Edelman
Raymond Kan
Plamen Koev
+ PDF Chat TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines 2018 Jeremy Kepner
Ron Brightwell
Alan Edelman
Vijay Gadepally
Hayden Jananthan
Michael Jones
Samuel Madden
Peter Michaleas
Hamed Okhravi
Kevin Pedretti
+ Random Hyperplanes, Generalized Singular Values & “What’s My β?” 2018 Alan Edelman
Yuyang Wang
+ Fast computation of the principal components of genotype matrices in Julia 2018 Jiahao Chen
Andreas Noack
Alan Edelman
+ Julia: A Fresh Approach to Numerical Computing 2017 Stefan Karpinski
Viral B. Shah
Jeffrey Werner Bezanson
Alan Edelman
+ PDF Chat Julia: A Fresh Approach to Numerical Computing 2017 Jeff Bezanson
Alan Edelman
Stefan Karpinski
Viral B. Shah
+ Eigenvalue approximation of sums of Hermitian matrices from eigenvector localization/delocalization 2017 Ramis Movassagh
Alan Edelman
+ PDF Chat Julia implementation of the Dynamic Distributed Dimensional Data Model 2016 Alexander Chen
Alan Edelman
Jeremy Kepner
Vijay Gadepally
David Hutchison
+ Beyond universality in random matrix theory 2016 Alan Edelman
Alice Guionnet
Sandrine Péché
+ Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia 2016 Alexander Amini
Berthold K. P. Horn
Alan Edelman
+ PDF Chat The singular values of the GUE (less is more) 2015 Alan Edelman
Michael La Croix
+ PDF Chat Condition numbers of indefinite rank 2 ghost Wishart matrices 2015 Ramis Movassagh
Alan Edelman
+ PDF Chat Random Triangle Theory with Geometry and Applications 2015 Alan Edelman
Gilbert Strang
+ Random Triangle Theory with Geometry and Applications 2015 Alan Edelman
Gilbert Strang
+ Infinite Random Matrix Theory, Tridiagonal Bordered Toeplitz Matrices, and the Moment Problem 2015 Alexander Dubbs
Alan Edelman
+ Random Triangle Theory with Geometry and Applications 2015 Alan Edelman
Gilbert Strang
+ Integral geometry for Markov chain Monte Carlo: overcoming the curse of search-subspace dimensionality 2015 Oren Mangoubi
Alan Edelman
+ Infinite Random Matrix Theory, Tridiagonal Bordered Toeplitz Matrices, and the Moment Problem 2015 Alexander Dubbs
Alan Edelman
+ Random Triangle Theory with Geometry and Applications 2015 Alan Edelman
Gilbert Strang
+ Infinite random matrix theory, tridiagonal bordered Toeplitz matrices, and the moment problem 2014 Alexander Dubbs
Alan Edelman
+ Julia: A Fresh Approach to Numerical Computing 2014 Jeff Bezanson
Alan Edelman
Stefan Karpinski
Viral B. Shah
+ Infinite random matrix theory, tridiagonal bordered Toeplitz matrices, and the moment problem 2014 Alexander Dubbs
Alan Edelman
+ The Singular Values of the GUE (Less is More) 2014 Alan Edelman
Michael La Croix
+ Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof 2014 Jiahao Chen
Alan Edelman
+ PDF Chat Array operators using multiple dispatch: a design methodology for array implementations in dynamic languages 2014 Jeff Bezanson
Jiahao Chen
Stefan Karpinski
Viral B. Shah
Alan Edelman
+ PDF Chat Random matrix theory, numerical computation and applications 2014 Alan Edelman
Brian Sutton
Yuyang Wang
+ PDF Chat Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages 2014 Jeff Bezanson
Jiahao Chen
Stefan Karpinski
Viral B. Shah
Alan Edelman
+ PDF Chat Array Operators Using Multiple Dispatch 2014 Jeff Bezanson
Jiahao Chen
Stefan Karpinski
Viral B. Shah
Alan Edelman
+ PDF Chat Low-temperature random matrix theory at the soft edge 2014 Alan Edelman
Per‐Olof Persson
Brian Sutton
+ PDF Chat Eigenvalue distributions of beta-Wishart matrices 2014 Alan Edelman
Plamen Koev
+ PDF Chat THE BETA-MANOVA ENSEMBLE WITH GENERAL COVARIANCE 2014 Alexander Dubbs
Alan Edelman
+ The Singular Values of the GUE (Less is More) 2014 Alan Edelman
Michael La Croix
+ Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof 2014 Jiahao Chen
Alan Edelman
+ Julia: A Fresh Approach to Numerical Computing 2014 Jeff Bezanson
Alan Edelman
Stefan Karpinski
Viral B. Shah
+ The Beta-MANOVA Ensemble with General Covariance 2013 Alexander Dubbs
Alan Edelman
+ PDF Chat The beta-Wishart ensemble 2013 Alexander Dubbs
Alan Edelman
Plamen Koev
Praveen S. Venkataramana
+ The Beta-MANOVA Ensemble with General Covariance 2013 Alexander Dubbs
Alan Edelman
+ PDF Chat Random Matrix Theory and Its Innovative Applications 2012 Alan Edelman
Yuyang Wang
+ PDF Chat Error Analysis of Free Probability Approximations to the Density of States of Disordered Systems 2012 Jiahao Chen
Eric Hontz
Jeremy M. Moix
Matthew Welborn
Troy Van Voorhis
Alberto Suárez
Ramis Movassagh
Alan Edelman
+ Partial freeness of random matrices 2012 Jiahao Chen
Troy Van Voorhis
Alan Edelman
+ Julia: A Fast Dynamic Language for Technical Computing 2012 Jeff Bezanson
Stefan Karpinski
Viral B. Shah
Alan Edelman
+ PDF Chat Density of States of Quantum Spin Systems from Isotropic Entanglement 2011 Ramis Movassagh
Alan Edelman
+ An Efficient Partitioning Oracle for Bounded-Treewidth Graphs 2011 Alan Edelman
Avinatan Hassidim
Huy Nguyen
Krzysztof Onak
+ PDF Chat An Efficient Partitioning Oracle for Bounded-Treewidth Graphs 2011 Alan Edelman
Avinatan Hassidim
Huy Nguyen
Krzysztof Onak
+ An Efficient Partitioning Oracle for Bounded-Treewidth Graphs 2011 Alan Edelman
Avinatan Hassidim
Huy Nguyen
Krzysztof Onak
+ PDF Chat Painlevé Project on the web 2010 Folkmar Bornemann
Peter Clarkson
Percy Deift
Alan Edelman
Alexander Its
Daniel W. Lozier
+ Isotropic Entanglement 2010 Ramis Movassagh
Alan Edelman
+ PDF Chat Statistical eigen-inference from large Wishart matrices 2008 N. Raj Rao
James A. Mingo
Roland Speicher
Alan Edelman
+ PDF Chat Sturm Sequences and Random Eigenvalue Distributions 2008 James T. Albrecht
Cy Chan
Alan Edelman
+ PDF Chat Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples 2008 Raj Rao Nadakuditi
Alan Edelman
+ PDF Chat The Polynomial Method for Random Matrices 2007 N. Raj Rao
Alan Edelman
+ PDF Chat Sample size cognizant detection of signals in white noise 2007 Raj Rao Nadakuditi
Alan Edelman
+ PDF Chat On the complete pivoting conjecture for a hadamard matrix of order 12 2007 Alan Edelman
Walters Mascarenhas
+ Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples 2007 N. Raj Rao
Alan Edelman
+ PDF Chat From Random Matrices to Stochastic Operators 2007 Alan Edelman
Brian Sutton
+ PDF Chat The Beta-Jacobi Matrix Model, the CS Decomposition, and Generalized Singular Value Problems 2007 Alan Edelman
Brian Sutton
+ MOPS: Multivariate orthogonal polynomials (symbolically) 2007 Ioana Dumitriu
Alan Edelman
Gene Shuman
+ Sample size cognizant detection of signals in white noise 2007 N. Raj Rao
Alan Edelman
+ Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples 2007 N. Raj Rao
Alan Edelman
+ Free Probability, Sample Covariance Matrices, and Signal Processing 2006 N. Raj Rao
Alan Edelman
+ PDF Chat Global spectrum fluctuations for the β-Hermite and β-Laguerre ensembles via matrix models 2006 Ioana Dumitriu
Alan Edelman
+ The efficient evaluation of the hypergeometric function of a matrix argument 2006 Plamen Koev
Alan Edelman
+ Free Probability, Sample Covariance Matrices and Stochastic Eigen-Inference 2006 Alan Edelman
N. Raj Rao
+ The polynomial method for random matrices 2006 N. Raj Rao
Alan Edelman
+ PDF Chat On the largest principal angle between random subspaces 2005 Pierre-Antoine Absil
Alan Edelman
Plamen Koev
+ Advances in random matrix theory 2005 Alan Edelman
+ PDF Chat Eigenvalues of Hermite and Laguerre ensembles: large beta asymptotics 2005 Ioana Dumitriu
Alan Edelman
+ Random matrix theory 2005 Alan Edelman
N. Raj Rao
+ Numerical Methods for Eigenvalue Distributions of Random Matrices 2005 Alan Edelman
Per‐Olof Persson
+ PDF Chat Tails of Condition Number Distributions 2005 Alan Edelman
Brian Sutton
+ The Efficient Evaluation of the Hypergeometric Function of a Matrix Argument 2005 Plamen Koev
Alan Edelman
+ Pascal Matrices 2004 Alan Edelman
Gilbert Strang
+ MOPS: Multivariate Orthogonal Polynomials (symbolically) 2004 Ioana Dumitriu
Alan Edelman
Gene Shuman
+ PDF Chat Matrix models for beta ensembles 2002 Ioana Dumitriu
Alan Edelman
+ Spiral Echo-Planar Trajectories for 3D Non-Fourier Encoded MRI 2002 Dimitris Mitsouras
Lawrence P. Panych
Alan Edelman
Gary P. Zientara
+ Staircase Failures Explained by Orthogonal Versal Forms 2000 Alan Edelman
Yanyuan Ma
+ 9. Nonlinear Eigenvalue Problems 2000 Zhanbing Bai
Gérard L. G. Sleijpen
Henk van der Vorst
Ross A. Lippert
Alan Edelman
+ A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part II: A Stratification-Enhanced Staircase Algorithm 1999 Alan Edelman
Erik Elmroth
Bo Kågström
+ The Geometry of Algorithms with Orthogonality Constraints 1998 Alan Edelman
T. A. Arias
Steven T. Smith
+ A counterexample to a hadamard matrix pivot conjecture 1998 Alan Edelman
David Friendman
+ PDF Chat Multiscale Computation with Interpolating Wavelets 1998 Ross A. Lippert
T. A. Arias
Alan Edelman
+ Nonlinear eigenvalue problems 1998 Ross A. Lippert
Alan Edelman
+ PDF Chat The Geometry of Algorithms with Orthogonality Constraints 1998 Alan Edelman
T. A. Arias
Steven T. Smith
+ The Geometry of Algorithms with Orthogonality Constraints 1998 Alan Edelman
T. A. Arias
Steven T. Smith
+ A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part I: Versal Deformations 1997 Alan Edelman
Erik Elmroth
Bo Kågström
+ The Probability that a Random Real Gaussian Matrix haskReal Eigenvalues, Related Distributions, and the Circular Law 1997 Alan Edelman
+ On conjugate gradient-like methods for eigen-like problems 1996 Alan Edelman
Steven T. Smith
+ PDF Chat Erratum to “How many zeros of a random polynomial are real?” 1996 Alan Edelman
Eric Kostlan
+ Scalable Parallel Numerical Methods and Software Tools for Material Design. 1995 Eric J. Bylaska
Scott R. Kohn
Scott B. Baden
Alan Edelman
Ryoichi Kawai
Midori Ong
John H. Weare
+ PDF Chat The dimension of matrices (matrix pencils) with given Jordan (Kronecker) canonical forms 1995 James Demmel
Alan Edelman
+ On the Determinant of a Uniformly Distributed Complex Matrix 1995 Alan Edelman
+ PDF Chat On Parlett's matrix norm inequality for the Cholesky decomposition 1995 Alan Edelman
Walter F. Mascarenhas
+ PDF Chat Polynomial Roots from Companion Matrix Eigenvalues 1995 Alan Edelman
Hironori Murakami
+ PDF Chat On the complete pivoting conjecture for a hadamard matrix of order 12 1995 Alan Edelman
Walters Mascarenhas
+ PDF Chat How many zeros of a random polynomial are real? 1995 Alan Edelman
Eric Kostlan
+ How many zeros of a random polynomial are real 1995 Alan Edelman
Eric Kostlan
+ PDF Chat Polynomial roots from companion matrix eigenvalues 1995 Alan Edelman
Hironori Murakami
+ How many zeros of a random polynomial are real? 1995 Alan Edelman
Eric Kostlan
+ PDF Chat How many eigenvalues of a random matrix are real? 1994 Alan Edelman
Eric Kostlan
Michael Shub
+ Scalable Parallel Numerical Methods and Software Tools for Material Design 1994 Eric J. Bylaska
S. Khon
Scott B. Baden
Alan Edelman
Ryoichi Kawai
Midori Ong
J.H. Weare
+ PDF Chat How Many Eigenvalues of a Random Matrix are Real? 1994 Alan Edelman
Eric Kostlan
Michael Shub
+ Eigenvalue Roulette and Random Test Matrices 1993 Alan Edelman
+ PDF Chat On the distribution of a scaled condition number 1992 Alan Edelman
+ PDF Chat On the Distribution of a Scaled Condition Number 1992 Alan Edelman
+ The distribution and moments of the smallest eigenvalue of a random matrix of wishart type 1991 Alan Edelman
+ Snapshots of Mobile Jacobi 1991 Alan Edelman
+ PDF Chat Eigenvalues and Condition Numbers of Random Matrices 1988 Alan Edelman
+ Orthogonal polynomials in monotone and convex interpolation 1988 Alan Edelman
Charles A. Micchelli
+ Admissible slopes for monotone and convex interpolation 1987 Alan Edelman
Charles A. Micchelli
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Aspects of Multivariate Statistical Theory 1984 Leon Jay Gleser
Robb J. Muirhead
26
+ PDF Chat Matrix models for beta ensembles 2002 Ioana Dumitriu
Alan Edelman
20
+ Aspects of Multivariate Statistical Theory 1982 Robb J. Muirhead
20
+ PDF Chat Eigenvalues and Condition Numbers of Random Matrices 1988 Alan Edelman
19
+ PDF Chat Julia: A Fresh Approach to Numerical Computing 2017 Jeff Bezanson
Alan Edelman
Stefan Karpinski
Viral B. Shah
15
+ Some combinatorial properties of Jack symmetric functions 1989 Richard P. Stanley
14
+ The efficient evaluation of the hypergeometric function of a matrix argument 2006 Plamen Koev
Alan Edelman
12
+ PDF Chat The Calogero-Sutherland Model and Generalized Classical Polynomials 1997 T. H. Baker
Peter J. Forrester
10
+ PDF Chat Distributions of Matrix Variates and Latent Roots Derived from Normal Samples 1964 A. T. James
10
+ Random matrix theory 2005 Alan Edelman
N. Raj Rao
10
+ Log-Gases and Random Matrices 2010 Peter J. Forrester
10
+ Lectures on the Combinatorics of Free Probability 2006 Alexandru Nica
Roland Speicher
9
+ PDF Chat On the distribution of the largest eigenvalue in principal components analysis 2001 Iain M. Johnstone
9
+ MOPS: Multivariate orthogonal polynomials (symbolically) 2007 Ioana Dumitriu
Alan Edelman
Gene Shuman
8
+ The Threefold Way. Algebraic Structure of Symmetry Groups and Ensembles in Quantum Mechanics 1962 Freeman J. Dyson
8
+ PDF Chat The Beta-Jacobi Matrix Model, the CS Decomposition, and Generalized Singular Value Problems 2007 Alan Edelman
Brian Sutton
8
+ The stochastic operator approach to random matrix theory 2005 Brian Sutton
8
+ PDF Chat None 2004 Rowan Killip
Irina Nenciu
8
+ PDF Chat The NumPy Array: A Structure for Efficient Numerical Computation 2011 Stéfan van der Walt
Steven C. Colbert
Gaël Varoquaux
8
+ Julia: A Fast Dynamic Language for Technical Computing 2012 Jeff Bezanson
Stefan Karpinski
Viral B. Shah
Alan Edelman
8
+ PDF Chat The Smallest Eigenvalue of a Large Dimensional Wishart Matrix 1985 Jack W. Silverstein
7
+ Eigenvalue distributions of large Hermitian matrices; Wigner's semi-circle law and a theorem of Kac, Murdock, and Szegö 1984 H. F. Trotter
7
+ PDF Chat On orthogonal and symplectic matrix ensembles 1996 Craig A. Tracy
Harold Widom
7
+ PDF Chat From Random Matrices to Stochastic Operators 2007 Alan Edelman
Brian Sutton
7
+ Differential Geometry, Lie Groups, and Symmetric Spaces 2001 Sigurđur Helgason
7
+ Orthogonal Polynomials and Random Matrices: A Riemann-Hilbert Approach 2000 Percy Deift
7
+ PDF Chat The Strong Limits of Random Matrix Spectra for Sample Matrices of Independent Elements 1978 Kenneth W. Wachter
6
+ The Distribution of the Largest Eigenvalue in the Gaussian Ensembles 1997 Craig A. Tracy
Harold Widom
6
+ Free Random Variables 1992 Dan Voiculescu
Kenneth J. Dykema
Alexandru Nica
6
+ Eigenvalue statistics for beta-ensembles 2003 Ioana Dumitriu
6
+ PDF Chat The Polynomial Method for Random Matrices 2007 N. Raj Rao
Alan Edelman
6
+ Characteristic Vectors of Bordered Matrices with Infinite Dimensions II 1993 E. P. Wigner
6
+ ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL 2007 Debashis Paul
6
+ Selberg Integrals and Hypergeometric Functions Associated with Jack Polynomials 1993 Jyoichi Kaneko
6
+ Handbook of Mathematical Functions 1966 Donald A. McQuarrie
6
+ The Symmetric Eigenvalue Problem 1998 Beresford Ν. Parlett
6
+ Enumerative Combinatorics 1999 Richard P. Stanley
Sergey Fomin
5
+ PDF Chat The Probability That a Numerical Analysis Problem is Difficult 1988 James Demmel
5
+ Distribution of the determinant of a random real-symmetric matrix from the Gaussian orthogonal ensemble 2000 Renaud Delannay
G. Le Caër
5
+ Enumerative Combinatorics 1997 Richard P. Stanley
Gian‐Carlo Rota
5
+ DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES 1967 V A Marčenko
L. А. Pastur
5
+ A matrix model for the β-Jacobi ensemble 2003 Ross A. Lippert
5
+ PDF Chat Orthogonal Polynomials 1971 5
+ PDF Chat CLT for linear spectral statistics of large-dimensional sample covariance matrices 2004 Zhidong Bai
Jack W. Silverstein
5
+ Some limit theorems for the eigenvalues of a sample covariance matrix 1982 Dag Jonsson
5
+ Probability density of the determinant of a random Hermitian matrix 1998 Madan Lal Mehta
Jean‐Marie Normand
5
+ Statistical Theory of the Energy Levels of Complex Systems. I 1962 Freeman J. Dyson
5
+ Towards a Generalized Singular Value Decomposition 1981 Christopher C. Paige
Michael A. Saunders
5
+ PDF Chat Some Non-Central Distribution Problems in Multivariate Analysis 1963 A. G. Constantine
5
+ Integral Geometry and Geometric Probability 2004 Luis A. Santaló
Mark Kac
5