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Dive into the research topics where Elizabeth Eskow is active.

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Featured researches published by Elizabeth Eskow.


Siam Journal on Scientific and Statistical Computing | 1990

A new modified Cholesky factorization

Robert B. Schnabel; Elizabeth Eskow

The modified Cholesky factorization of Gill and Murray plays an important role in optimization algorithms. Given a symmetric but not necessarily positive-definite matrix A, it computes a Cholesky factorization of


Siam Journal on Optimization | 1999

A Revised Modified Cholesky Factorization Algorithm

Robert B. Schnabel; Elizabeth Eskow

A + E


Biophysical Journal | 2002

A Physical Approach to Protein Structure Prediction

Silvia A. Crivelli; Elizabeth Eskow; Brett W. Bader; Vincent Lamberti; Richard H. Byrd; Robert B. Schnabel; Teresa Head-Gordon

, where


Journal of Global Optimization | 2000

Global Optimization For Molecular Clusters Using A New Smoothing Approach

Chung-Shang Shao; Richard H. Byrd; Elizabeth Eskow; Robert B. Schnabel

E = 0


ACM Transactions on Mathematical Software | 1991

Algorithm 695: software for a new modified Cholesky factorization

Elizabeth Eskow; Robert B. Schnabel

if A is safely positive-definite, and E is a diagonal matrix chosen to make


parallel computing | 1989

Mathematical Modeling of a Parallel Global Optimization Algorithm

Elizabeth Eskow; Robert B. Schnabel

A + E


Archive | 1994

A New Stochastic/Perturbation Method for Large-Scale Global Optimization and its Application to Water Cluster Problems

Richard H. Byrd; Thomas Derby; Elizabeth Eskow; Klaas P. B. Oldenkamp; Robert B. Schnabel

positive-definite otherwise. The factorization costs only a small multiple of


ACM Transactions on Mathematical Software | 1994

Algorithm 738: a software package for unconstrained optimization using tensor methods

Ta-Tung Chow; Elizabeth Eskow; Robert B. Schnabel

n^2


european conference on parallel processing | 1999

A Hierarchical Approach for Parallelization of a Global Optimization Method for Protein Structure Prediction

Silvia N. Crivelli; Teresa Head-Gordon; Richard H. Byrd; Elizabeth Eskow; Robert B. Schnabel

operations more than the standard Cholesky factorization. A new algorithm that has these same properties, but for which the theoretical bound on


Mathematical Programming | 2004

An optimization approach to the problem of protein structure prediction

Elizabeth Eskow; Brett W. Bader; Richard H. Byrd; Silvia N. Crivelli; Teresa Head-Gordon; Vincent Lamberti; Robert B. Schnabel

||E||_\infty

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Robert B. Schnabel

University of Colorado Boulder

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Richard H. Byrd

University of Colorado Boulder

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Robert B Schnabel

National Institute of Standards and Technology

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Silvia A. Crivelli

Lawrence Berkeley National Laboratory

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Klaas P. B. Oldenkamp

University of Colorado Boulder

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Silvia N. Crivelli

Lawrence Berkeley National Laboratory

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Ta-Tung Chow

University of Colorado Boulder

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Vincent Lamberti

University of Colorado Boulder

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