Alan Edelman

Scientific Computing

Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs
Ramadhan, A., et al. (2020, January). The Journal of Open Source Software. DOI: 10.21105/joss.02018.
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Abstract
Universal Differential Equations for Scientific Machine Learning
Rackauckas, C., Ma, Y., Martensen, J., Warner, C., Zubov, K., Supekar, R., ... & Ramadhan, A. (2020). arXiv preprint arXiv:2001.04385.
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arXiv
Abstract
Generalized Physics-Informed Learning Through Language-Wide Differentiable Programming
Rackauckas C., Edelman A., Fischer K., Innes M., Saba E., Shah V.B., & Tebbutt W. (2020). In Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences.
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Abstract
Signal Enhancement for Magnetic Navigation Challenge Problem
Gnadt, A. R., Belarge, J., Canciani, A., Conger, L., Curro, J., Edelman, A., ... & Rackauckas, C. (2020). arXiv preprint arXiv:2007.12158.
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arXiv
Abstract
Rapid software prototyping for heterogeneous and distributed platforms
Besard, T., Churavy, V., Edelman, E., & De Sutter, B. (2019, June). Advances in Engineering Software, 132, 29-46

Abstract
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
Innes, M., Edelman, A., Fischer, K., Rackauckas, C., Saba, E., Shah, V. B., & Tebbutt, W. (2019). CoRR, abs/1907.07587.
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arXiv
Abstract
Fast computation of the principal components of genotype matrices in Julia
J Chen, A Noack, A Edelman. (2018)
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arXiv
Abstract
On Machine Learning and Programming Languages
Innes, M., Karpinski, S., Shah, V., Barber, D., Saito Stenetorp, P. L. E. P. S., Besard, T., ... & Malmaud, J. (2018, February). Association for Computing Machinery (ACM).
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Abstract
A more open efficient future for AI development and data science with an introduction to Julia.
Edelman, A. (2017). Big Data (Big Data), 2017 IEEE International Conference on (pp. 2-2). IEEE.

Julia: A fresh approach to numerical computing
Bezanson, J., Edelman, A., Karpinski, S., & Shah, V. B. (2017). SIAM review, 59(1), 65-98.
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arXiv
Abstract
Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia
Amini, A., Horn, B., & Edelman, A. (2016). arXiv preprint arXiv:1612.08825.
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arXiv
Abstract
Julia implementation of the dynamic distributed dimensional data model
Chen, A., Edelman, A., Kepner, J., Gadepally, V., & Hutchison, D. (2016). High Performance Extreme Computing Conference (HPEC), (pp. 1-7). IEEE.
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arXiv
Abstract
Circuitscape: modeling landscape connectivity to promote conservation and human health.
McRae, B., Shah, V., & Edelman, A. (2016). The Nature Conservancy, 14.
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Abstract
Robust benchmarking in noisy environments.
Chen, J., Edelman, A., & Revels, J. (2016).
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arXiv
Abstract
Julia Introduction
Edelman, A. (2015, May). 2015 IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW) (pp. 1271-1271). IEEE.

Abstract
Integral geometry for Markov chain Monte Carlo: overcoming the curse of search-subspace dimensionality
O Mangoubi, A Edelman. (2015).
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arXiv
Abstract
Julia Language Documentation
Bezanson, J., Karpinski, S., Shah, V., & Edelman, A. (2014).The Julia Manual. http://docs. julialang. org/en/release-0.2/manual, 1-261.
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Abstract
An Efficient Partitioning Oracle for Bounded-Treewidth Graphs
Edelman, A., Hassidim, A., Nguyen, H.N., & Onak, K. (2011). In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (pp. 530-541). Springer Berlin Heidelberg.
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arXiv
Abstract
Enhancing the acquisition efficiency of fast magnetic resonance imaging via broadband encoding of signal content
Mitsouras, D., Zientara, G. P., Edelman, A., & Rybicki, F. J. (2006). Magnetic resonance imaging, 24(9), 1209-1227.
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Abstract
Building Blocks and Excluded Sums
Demaine, E. D., Demaine, M. L., Edelman, A., Leiserson, C. E., & Persson, P. O. (2005). SIAM News, 38(1), 1-5.
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Fast Multipole: It's all about Adding Functions in Finite Precision
Edelman, A., & Persson, P. 0. (2004, never published).
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Non-Fourier Encoded Parallel MRI Using Multiple Receiver Coils
Mitsouras, D., Hoge, W. S., Rybicki, F. J., Kyriakos, W. E., Edelman, A., & Zientara, G. P. (2004). Magnetic resonance in medicine, 52(2), 321-328.
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Abstract
A Physically Based Numerical Color Calibration Algorithm for Film
Edelman, A., Wang, F., & Rao, A. (2003)
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A Fast Projected Conjugate Gradient Algorithm for Training Support Vector Machines
Wen, T., Edelman, A., & Gorsich, D. (2001, August). In Contemporary mathematics (pp. 245-263). American Mathematical Society.
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Abstract
Nonlinear eigenvalue problems with orthogonality constraints
Edelman, A., & Lippert, R. (2000). (section 8.3). Bai, Z., Demmel, J., Dongarra, J., Ruhe, A. and Vorst, H. van der, editors: Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide. Philidelphia: SIAM.
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The geometry of algorithms with orthogonality constraints
Edelman, A., Arias, T. A., & Smith, S. T. (1998). SIAM journal on Matrix Analysis and Applications, 20(2), 303-353.
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arXiv
Abstract
Multiscale Computation with Interpolating Wavelets
Lippert, R. A., Arias, T. A., & Edelman, A. (1998). Journal of Computational Physics, 140(2), 278-310.
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arXiv
Abstract
The Mathematics of the Pentium Division Bug
Edelman, A. (1997). SIAM Review, 39(1), 54-67.
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On Conjugate Gradient-Like Methods for Eigen-Like Problems
Edelman, A., & Smith, S. T. (1996). BIT Numerical Mathematics, 36(3), 494-508.
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Abstract
Reflections on the Large Scale Matrix Computations in Lattice QCD Conference
Brower, R., Demmel, J., Edelman, A., & Hockney, G. (1995, never published). This is a little note whipped up after a very nice conference held in Lexington Kentucky
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Curvature in Conjugate Gradient Eigenvalue Computation with Applications to Materials and Chemistry Calculations
Edelman, A., Arias, T. A., & Smith, S. T. (1994). In In Proceedings of the 1994 SIAM Applied Linear Algebra Conference.
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Abstract
When is x*(1/x) not equal to 1?
Edelman, A. (1994). Never published except for the web -- just for fun.
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Random Eigenvalues etc.

Random Hyperplanes, Generalized Singular Values & “What’s My β?”
A Edelman, Y Wang. (2018) IEEE Statistical Signal Processing Workshop (SSP), 458-462. doi: 10.1109/SSP.2018.8450833
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Abstract
Eigenvalue approximation of sums of Hermitian matrices from eigenvector localization/delocalization
Movassagh, R., & Edelman, A. (2017). arXiv preprint arXiv:1710.09400.
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arXiv
Abstract
On Computing Schur Functions and Series Thereof
Chan, C., Drensky, V., Edelman, A., Kan, R., & Koev, P. (2017). Lawrence Berkeley National Laboratory, eScholarship.org.
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Beyond Universality in Random Matrix Theory
Edelman, A., Guionnet, A., & Péché, S. (2016). The Annals of Applied Probability, 26(3), 1659-1697.
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arXiv
Abstract
Beta Jacobi Ensembles and the GSVD
Edelman, A. Banff International Research Station for Mathematical Innovation and Discovery (2016)

Infinite random matrix theory, tridiagonal bordered Toeplitz matrices, and the moment problem
Dubbs, A., & Edelman, A. (2015). Linear Algebra and its Applications, 467, 188-201.
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Abstract
The singular values of the GUE (less is more)
Edelman, A., & La Croix, M. (2015, October). Random Matrices:Theory and Applications, 4(4), Issue 04.
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arXiv
Abstract
Condition Numbers of Indefinite Rank 2 Ghost Wishart Matrices
Edelman, A., & Movassagh, R. (2015, October). Linear Algebra and its Applications, 483, 342-351.
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arXiv
Abstract
Random Matrix Theory, Numerical Computation and Applications
Edelman, A., Sutton, B. D., & Wang, Y. (2014). Modern Aspects of Random Matrix Theory, 72, 53.
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Low-temperature random matrix theory at the soft edge
Edelman, A., Persson, P. O., & Sutton, B. D. (2014). Journal of Mathematical Physics, 55(6), 063302.
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Abstract
Computing with Beta Ensembles and Hypergeometric Functions
Drensky, V., Edelman, A., Genoar, K., Kan, R., & Koev, P. (2014). RMTA.
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The Beta-MANOVA Ensemble with General Covariance
Dubbs, A., & Edelman, A. (2014). Random Matrices: Theory and Applications, 3(01), 1450002.
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arXiv
Abstract
Eigenvalue distributions of Beta-Wishart matrices
Edelman, A., & Koev, P. (2014). Random Matrices: Theory and Applications, 3(02), 1450009.
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Abstract
Random Matrix Theory and its Innovative Applications
Edelman, A., & Wang, Y. (2013). In Advances in Applied Mathematics, Modeling, and Computational Science (pp. 91-116). Springer US.
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Abstract
The beta-Wishart ensemble
Dubbs, A., Edelman, A., Koev, P., & Venkataramana, P. (2013). Journal of Mathematical Physics, 54(8), 083507.
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arXiv
Abstract
Error Analysis of Free Probability Approximations to the Density of States of Disordered Systems
Chen, J., Hontz, E., Moix, J., Welborn, M., Van Voorhis, T., Suárez, A., ... & Edelman, A. (2012). Physical review letters, 109(3), 036403.
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arXiv
Abstract
Partial Freeness of Random Matrices
Chen, J., Van Voorhis, T., & Edelman, A. (2012). arXiv preprint arXiv:1204.2257.
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arXiv
Abstract
Isotropic Entanglement
Edelman, A., & Movassagh, R. (2010, revised 2012). Isotropic entanglement. arXiv preprint arXiv:1012.5039.
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arXiv
Abstract
Random Triangle Theory with Geometry and Applications
Edelman, A., & Strang, G. (2012). Foundations of Computational Mathematics, 15(3), 681-713.

Accompanying Julia Notebook [html] [ipynb]

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Abstract
Density of States of Quantum Spin Systems from Isotropic Entanglement
Edelman, A., & Movassagh, R. (2011). Physical review letters, 107(9), 097205.
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arXiv
Abstract
The Random Matrix Technique of Ghosts and Shadows
Edelman, A. (2010). Markov Processes and Related Fields, 16(4), 783-790.
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Sturm Sequences and Random Eigenvalue distributions
Albrecht, J. T., Chan, C. P., & Edelman, A. (2009). Foundations of Computational Mathematics, 9(4), 461-483.
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Abstract
Sample eigenvalue based detection of high-dimensional signals in white noise using relatively few samples
Nadakuditi, R. R., & Edelman, A. (2008). Signal Processing, IEEE Transactions on, 56(7), 2625-2638.
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arXiv
Abstract
Statistical eigen-inference from large Wishart Matrices
Rao, N. R., Mingo, J. A., Speicher, R., & Edelman, A. (2008). The Annals of Statistics, 2850-2885.
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arXiv
Abstract
The Polynomial Method for Random Matrices
Rao, N. R., & Edelman, A. (2008). Foundations of Computational Mathematics, 8(6), 649-702.
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arXiv
Abstract
The beta-Jacobi matrix model, the CS decomposition, and generalized singular value problems
Edelman, A., & Sutton, B. D. (2008). Foundations of Computational Mathematics, 8(2), 259-285.
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From Random Matrices to Stochastic Operators
Edelman, A., & Sutton, B. D. (2007). Journal of Statistical Physics, 127(6), 1121-1165.
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arXiv
Abstract
MOPS: Multivariate Orthogonal Polynomials (symbolically)
Dumitriu, I., Edelman, A., & Shuman, G. (2007). Journal of symbolic computation, 42(6), 587-620.
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arXiv
Abstract
Sample Size Cognizant Detection of Signals in White Noise
Nadakuditi, R. R., & Edelman, A. (2007, June). In Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on (pp. 1-5). IEEE.
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arXiv
Abstract
On the Largest Principal Angle between Random Subspaces
Absil, P. A., Edelman, A., & Koev, P. (2006). Linear Algebra and its applications, 414(1), 288-294.
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Abstract
On the Efficient Evaluation of the Hypergeometric Function of a Matrix Argument
Koev, P., & Edelman, A. (2006). Mathematics of Computation, 75(254), 833-846.
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arXiv
Abstract
Global Spectrum Fluctuations for the beta-Hermite and beta-Laguerre ensembles via matrix models
Dumitriu, I., & Edelman, A. (2006). Journal of Mathematical Physics, 47(6), 063302.
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arXiv
Abstract
Eigenvalues of Hermite and Laguerre ensembles: Large Beta Asymptotics
Dumitriu, I., & Edelman, A. (2005). In Annales de l'IHP Probabilités et statistiques, 41(6), 1083-1099.
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arXiv
Abstract
Tails of Condition Number Distributions
Edelman, A., & Sutton, B. D. (2005). SIAM journal on matrix analysis and applications, 27(2), 547-560.
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Abstract
On the Probability Distribution of the Outputs of the Diagonally Loaded Capon-MVDR Processor
Nadakuditi, R. R., & Edelman, A. (2005, October). In Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on (pp. 1717-1723). IEEE.

Numerical Methods for Eigenvalue Distributions of Random Matrices
Edelman, A., & Persson, P. O. (2005). arXiv preprint math-ph/0501068.
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arXiv
Abstract
Matrix Models for Beta Ensembles
Dumitriu, I., & Edelman E. (2002). Journal of Mathematical Physics, 43, 5830--5847.
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arXiv
Abstract
On the determinant of a uniformly distributed complex matrix
Edelman, A. (1995). Journal of Complexity, 11(3), 352-357.
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How many zeros of a random polynomial are real?
Edelman, A., & Kostlan, E. (1995). Bulletin of the American Mathematical Society, 32(1), 1-37.
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arXiv
Abstract
How many eigenvalues of a random matrix are real?
Edelman, A., Kostlan, E., & Shub, M. (1994). Journal of the American Mathematical Society, 7(1), 247-267.
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Abstract
The road from Kac's matrix to Kac's random polynomials
Edelman, A. & Kostlan, E. (1994). Proceedings of the 1994 SIAM Applied Linear Algebra Conference J.G. Lewis, ed., SIAM, Philadelphia, 503--507
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The Circular Law and the Probability that a Random Matrix Has $k$ Real Eigenvalues
Edelman, A. (1993). preprint.
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Abstract
Eigenvalue Roulette and Random Test Matrices
Edelman, A. (1993). In Linear Algebra for Large Scale and Real-Time Applications (pp. 365-368). Springer Netherlands.
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Abstract
On the distribution of a scaled condition number
Edelman, A. (1992). Mathematics of Computation, 58(197), 185-190.
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The distribution and moments of the smallest eigenvalue of a random matrix of Wishart type
Edelman, A. (1991). Linear algebra and its applications, 159, 55-80.

Abstract
Eigenvalues and Condition Numbers of Random Matrices
Edelman, A. (1989). MIT PhD Dissertation(4).

(As of 2002, the figures are now included in this file. They were all recomputed!)

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Eigenvalues and condition numbers of random matrices
Edelman, A. (1988). SIAM Journal on Matrix Analysis and Applications, 9(4), 543-560.
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Abstract
A linear-time algorithm for evaluating series of Schur functions
Chan, C., Drensky, V., Edelman, A., & Koev, P.
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Parallel Computing

Julia: A fresh approach to parallel programming
Edelman, A. (2015, May). =Parallel and Distributed Processing Symposium (IPDPS), 2015 IEEE International (pp. 517-517). IEEE.

Abstract
Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof
Chen, J., & Edelman, A. (2014, November). In Proceedings of the 1st First Workshop for High Performance Technical Computing in Dynamic Languages (pp. 47-56). IEEE Press.
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Abstract
Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages
Bezanson, J., Chen, J., Karpinski, S., Shah, V., & Edelman, A. (2014, June). In Proceedings of ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming (p. 56). ACM.
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Abstract
Julia: A Fast Dynamic Language for Technical Computing
Bezanson, J., Karpinski, S., Shah, V. B., & Edelman, A. (2012). arXiv preprint arXiv:1209.5145.
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arXiv
Abstract
Language and Compiler Support for Auto-Tuning Variable-Accuracy Algorithms
Ansel, J., Wong, Y. L., Chan, C., Olszewski, M., Edelman, A., & Amarasinghe, S. (2011, April). In Proceedings of the 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization (pp. 85-96). IEEE Computer Society.
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Abstract
Petabricks: A Language and Compiler for Algorithmic Choice
Ansel, J., Chan, C., Wong, Y. L., Olszewski, M., Zhao, Q., Edelman, A., & Amarasinghe, S. (2009). (Vol. 44, No. 6, pp. 38-49). ACM.
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Abstract
Autotuning Multigrid with PetaBricks
Chan, C., Ansel, J., Wong, Y. L., Amarasinghe, S., & Edelman, A. (2009, November). In High Performance Computing Networking, Storage and Analysis, Proceedings of the Conference on (pp. 1-12). IEEE.
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Abstract
Interactive Supercomputing’s Star-P Platform: Parallel MATLAB and MPI Homework Classroom Study on High Level Language Productivity
Edelman, A., Husbands, P., & Leibman, S. (2006). Massachusetts Institute of Technology, Cambridge, MA. (No. DOE/FE/25631-1).
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Star-P User Guide
(2006). Interactive Supercomputing.
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Getting Started with Star-P: Taking Your First Test-Drive
(2006). Interactive Supercomputing
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Parallel MATLAB: doing it right
Choy, R., & Edelman, A. (2005). Proceedings of the IEEE, 93(2), 331-341.
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Abstract
Star-P: High productivity parallel computing
Choy, R., Edleman, A., Gilbert, J. R., Shah, V., & Cheng, D. (2004). Massachusetts Institute of Technology, Cambridge, MA.
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Abstract
Interactive Supercomputing with MITMatlab
Husbands, P., Isbell Jr, C. L., & Edelman, A. (1998).
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The Future Fast Fourier Transform?
Edelman, A., McCorquodale, P., & Toledo, S. (1998). SIAM Journal on Scientific Computing, 20(3), 1094-1114.
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Abstract
Index Transformation Algorithms in a Linear Algebra Framework
Edelman, A., Heller, S., & Johnsson, S. L. (1994). Parallel and Distributed Systems, IEEE Transactions on, 5(12), 1302-1309.
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Abstract
Large Numerical Linear Algebra in 1994: The Continuing Influence of Parallel Computing
Edelman, A. (1994, May). In Scalable High-Performance Computing Conference, 1994., Proceedings of the (pp. 781-787). IEEE.
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Hypercube algorithms for direct N-body solvers for different granularities
Brunet, J. P., Mesirov, J. P., & Edelman, A. (1993). SIAM Journal on Scientific Computing, 14(5), 1143-1158.

Abstract
Large Dense Numerical Linear Algebra in 1993: The Parallel Computing Influence
Edelman, A. (1993). International Journal of High Performance Computing Applications, 7(2), 113-128.
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Abstract
The first annual large dense linear system survey
Edelman, A. (1991). ACM SIGNUM Newsletter, 26(4), 6-12.
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Optimal matrix transposition and bit reversal on hypercubes: All--to--all personalized communication
Edelman, A. (1991). Journal of Parallel and Distributed Computing<, 11(4), 328-331.
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Abstract
Matrix multiplication on hypercubes using full bandwidth and constant storage
Ho, C. T., & Johnsson, L. (1991). In Sixth Distributed Memory Computing Conference (pp. 447-451).
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Guess what? We have a hypercube
Edelman, A. (1989, not published )Thinking Machines Corporation Semi-Internal Report.
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Abstract

Numerical Linear Algebra

Pascal Matrices
Edelman, A., & Strang, G. (2004). American Mathematical Monthly, 189-197.
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Staircase failures explained by orthogonal versal forms
Edelman, A., & Ma, Y. (2000). SIAM Journal on Matrix Analysis and Applications, 21(3), 1004-1025.
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Abstract
A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part II: A Stratification Enhanced Staircase Algorithm
Edelman, A., Elmroth, E., & Kågström, B. (1999). SIAM Journal on Matrix Analysis and Applications, 20(3), 667-699.
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Abstract
The Computation and Sensitivity of Double Eigenvalues
Lippert, R. A., & Edelman, A. (1999). Advances in Computational Mathematics, Lecture Notes in Pure and Appl. Math, 202, 353-393.
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A Counterexample to a Hadamard Matrix Pivot Conjecture
Edelman, A., & Friendman, D. (1998). Linear and Multilinear Algebra, 44(1), 53-56.

Abstract
Non-generic eigenvalue perturbations of Jordan blocks
Ma, Y., & Edelman, A. (1998). Linear algebra and its applications, 273(1), 45-63.
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Abstract
A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part I: Versal Deformation
Edelman, A., Elmroth, E., & Kågström, B. (1997). SIAM Journal on Matrix Analysis and Applications, 18(3), 653-692.
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Abstract
On the complete pivoting conjecture for a Hadamard matrix of order 12
Edelman, A., & Mascarenhas, W. (1995). Linear and Multilinear Algebra, 38(3), 181-187.
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Abstract
A simple estimate of the condition number of a linear system
Guggenheimer, H. W., Edelman, A. S., & Johnson, C. R. (1995). College Mathematics Journal, 2-5.

Polynomial roots from companion matrix eigenvalues
Edelman, A., & Murakami, H. (1995). Mathematics of Computation, 64(210), 763-776.
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Abstract
On Parlett's matrix norm inequality for the Cholesky decomposition
Edelman, A., & Mascarenhas, W. F. (1995). Numerical linear algebra with applications, 2(3), 243-250.
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Abstract
The dimension of matrices (matrix pencils) with given Jordan (Kronecker) canonical forms
Demmel, J. W., & Edelman, A. (1995). Linear algebra and its applications, 230, 61-87.
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Abstract
Scaling for orthogonality
Edelman, A., & Stewart, G. W. (1993). Signal Processing, IEEE Transactions on, 41(4), 1676-1677.
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Abstract
The complete pivoting conjecture for Gaussian Elimination is false
Edelman, A. (1992). Mathematica Journal, 2(2), 58-61.
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Snapshots of Mobile Jacobi
Edelman, A. (1991). In Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms (pp. 485-488). Springer Berlin Heidelberg.

(What a shame that I do not have the pictures available. Even better would be to put the original video on line. Maybe some day!)

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Approximation Theory

Nonnegativity-, monotonicity-, or convexity-preserving cubic and quintic Hermite interpolation
Dougherty, R. L., Edelman, A. S., & Hyman, J. M. (1989). Mathematics of Computation, 52(186), 471-494.

Abstract
On locally supported basis functions for the representation of geometrically continuous curves
Dyn, N., Edelman, A., & Micchelli, C. A. (1987). Analysis, 7(3-4), 313-342.

Admissible slopes for monotone and convex interpolation
Edelman, A., & Micchelli, C. A. (1987). Numerische Mathematik, 51(4), 441-458.
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Abstract

TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
Kepner, J., Brightwell, R., Edelman, A., Gadepally, V., Jananthan, H., Jones, M., ... & Reuther, A. (2018, September). IEEE High Performance extreme Computing Conference (HPEC) (pp. 1-8). IEEE.
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arXiv
Abstract
Novel Algebras for Advanced Analytics in Julia
Shah, V. B., Edelman, A., Karpinski, S., Bezanson, J., & Kepner, J. (2013).
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Abstract
Visualizing Large Kronecker Graphs
Nguyen, H., Kepner, J., & Edelman, A. (2011).Graph Algorithms in the Language of Linear Algebra (pp. 241-250). Society for Industrial and Applied Mathematics.
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Abstract
Performance of sample covariance based capon bearing only tracker
Richmond, C. D., Geddes, R. L., Movassagh, R., & Edelman, A. (2011, November). Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference (pp. 2036-2039). IEEE.

Abstract
Leveraging high performance computation for statistical wind prediction
Chan, C. P., Stalker, J., Edelman, A., & Connors, S. (2010).
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Abstract
A request: the Painlevé project
Bornemann, F., Clarkson, P., Deift, P., Edelman, A., Its, A., & Lozier, D. (2010). AMSTAT News, 57, 1389.
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Abstract
A Scalable Parallel Sorting Algorithm for Contemporary Architectures
Cheng, D. R., Shah, V. B., Gilbert, J. R., & Edelman, A. (2009).
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Abstract
The Star-P High Performance Computing Platform
Edelman, Alan. Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on. Vol. 4. IEEE, 2007

Abstract
Semi-automated parallelization using Star-P
Schaa, D., Kaeli, D., & Edelman, A. (2007).
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Abstract
So What's innovative and exotic about star-P for MATLAB and other clients?
Edelman, A. (2006, November). Proceedings of the 2006 ACM/IEEE conference on Supercomputing (p. 278). ACM.

Abstract
Free Probability, Sample Covariance Matrices, and Signal Processing
Rao, N. R., & Edelman, A. (2006, May). Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on (Vol. 5, pp. V-V). IEEE.

Abstract
A Novel Parallel Sorting Algorithm for Contemporary Architectures
Cheng, D. R., Shah, V. B., Gilbert, J. R., & Edelman, A. (2006). Submitted to ALENEX.
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Abstract
An Interactive Approach to Parallel Combinatorial Algorithms with Star-P
Gilbert, J., Shah, V., Letsche, T., Reinhardt, S., & Edelman, A. (2005). Proc. 9th HPEC.
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Abstract
Fast Sorting on a Distributed-Memory Architecture
Cheng, D. R., Shah, V., Gilbert, J. R., & Edelman, A. (2005).
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Abstract
The bias of the MVDR beamformer outputs under diagonal loading
Edelman, A., Nadakuditi, R. (2005) Acoustics, Speech, and Signal Processing, 2005. Proceedings.(ICASSP'05). IEEE International Conference

Abstract
Random matrix theory
Edelman, A., & Rao, N. R. (2005). Acta Numerica, 14, 233-297.
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Abstract
Advances in random matrix theory
Edelman, A. (2005) IEEE 6th Workshop on Signal Processing Advances in Wireless Communications

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Modeling and rendering of weathered stone
Dorsey, J., Edelman, A., Jensen, H. W., Legakis, J., & Pedersen, H. K. (2005, July). ACM SIGGRAPH 2005 Courses (p. 4). ACM.
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Abstract
Asymptotic mean squared error performance of diagonally loaded Capon-MVDR processor
Richmond, C. D., Nadakuditi, R. R., & Edelman, A. (2005, November). Conference Record of the Thirty-Ninth Asilomar Conference on Signals, Systems and Computers (Vol. 2005, pp. 1711-1716).

Abstract
On the largest principal angle between random subspaces
P-A Absil, A Edelman, P Koev (2004)

Abstract
Solving Multiple Classes of Problems in Parallel with MATLAB* P
Choy, R., & Edelman, A. (2004).
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Abstract
An application of NNMF in a color calibration algorithm of film
F Wang, A Edelman, A Rao. (2003) Technical report, MIT Laboratory for Computer Science

Abstract
Support Vector Machine Lagrange Multipliers and Simplex Volume Decompositions
T Wen, A Edelman. (2000)submitted to SIAM journal on Matrix Analysis and Applications
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Abstract
Multiscale computations with interpolating scaling
R Lippert, T Arias, A Edelman. (1999)

Abstract
Akamai Technologies: A Mathematical Success Story
Edelman, A. (1999) SIAM News, 32-1. (pp. 12-13).

Abstract
The probability that a random real gaussian matrix haskreal eigenvalues, related distributions, and the circular law
Edelman, A. (1997). Journal of Multivariate Analysis, 60-2. (pp. 203-232).
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Abstract
Scalable parallel numerical methods and software tools for material design
Bylaskay, E. J., Kohnz, S. R., Badenz, S. B., Edelmanx, A., Kawai, R., Ongk, M. E. G., & Weare, J. H. (1995). SIAM, 75. (pp.219).
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Abstract
An optional hypercube direct N-body solver on the connection machine
JP Brunet, A Edelman, JP Mesirov. (1990). Proceedings of the 1990 ACM/IEEE conference on Supercomputing. IEEE Computer Society Press. (pp. 748-752).
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Abstract
The Toeplitz-circulant eigenvalue problem Ax= λCx
G Strang, A Edelmank. (1987). Oakland Conference on PDE’s, Longmans, London