Richard Byrd
Professor Emeritus
Department of Computer Science
University of Colorado

Teaching Interests:

Numerical computatation, algorithms for constrained and unconstrained nonlinear
optimization, linear programming, numerical linear algebra.

Research Interests:

Algorithms for constrained and unconstrained nonlinear optimization, nonlinear
data fitting, optimization in machine learning,
numerical linear algebra.
Current Projects:
Trust region methods for nonlinearly constrained optimization
Active set prediction
Limited memory methods for largescale optimization
Analysis of quasiNewton methods
Recent papers:

"Inexact SQP Methods for Equality Constrained Optimization,"

by R.H. Byrd, F.E. Curtis and J. Nocedal

"A Preconditioned LBFGS Algorithm with Application to Molecular Energy
Minimization,"

by L. Jiang, R.H. Byrd, E. Eskow, and R.B. Schnabel,
Technical Report CUCS98204, Department of Computer Science, Nov. 2004.

"An Algorithm for Nonlinear Optimization Using
Linear Programming and Equality Constrained Subproblems,"

by R. Byrd, N. Gould, J. Nocedal, and R. Waltz (May 2003).

"On the Convergence of Newton Iterations to NonStationary Points,"

(revised March 2002) by R. Byrd, M. Marazzi and J. Nocedal.

"A LargeScale StochasticPerturbation Global Optimization
Method for Molecular Cluster Problems"
(postscript),

by R. Byrd, E. Eskow and R. Schnabel

"Predicting Protein Tertiary Structure Using a Global Optimization Algorithm
with Smoothing" (postscript),

January 1999, by A. Azmi, R. Byrd, E. Eskow, R. Schnabel, S. Crivelli, T. Phillips and T. HeadGordon.

"Retaining Convergence Properties of Trust Region Methods
Without Extra Gradient Evaluations"

August 1998 (postscript), by H. Khalfan, R. Byrd,
and R. Schnabel.

"Global Optimization For Molecular Clusters Using A
New Smoothing Approach"

(postscript), by C.S. Shao, R. Byrd,
E. Eskow, and R. Schnabel.

"Towards a Discrete Newton Method with Memory for Largescale

Optimization"(postscript), by R.H. Byrd, J. Nocedal
and C. Zhu.

"A Trust Region Method Based on Interior Point Techniques
for Nonlinear Programming"

revised 1998, (postscript) by R.H. Byrd,
J.C. Gilbert and J. Nocedal.

"A Stochastic/Perturbation Global Optimization Algorithm
for Distance Geometry

Problems"(postscript), by Z. Zou, R.H. Byrd,
and R.B. Schnabel.

"An Interior Point Algorithm for Large Scale Nonlinear
Programming"

(postscript), by R.H. Byrd, M.E. Hribar and J. Nocedal.
Selected dissertions
X. Lu, "A computational study of the limited memory SR1 method
for unconstrained optimization"
Contact Information:
Office: ECOT 620
Office Hours: By appointment
Email: richard@cs.colorado.edu
Phone: 3034928014
Fax: 3034922844
WWW: http://www.cs.colorado.edu/~richard
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Dept of Computer Science, University of Colorado, Boulder, CO 803090430,
richard.byrd@colorado.edu.