Richard H. Byrd - Concepedia

Author

Richard H. Byrd

University of Colorado Boulder

Also Known As

Byrd, R. H., Byrd, R.H., Byrd, Richard H., R H Byrd, R. H. Byrd, R.H. Byrd, Richard H Byrd, Richard H. Byrd

119

Publications

20K

Citations

H-Index

Concepts

All Affiliations

University of Colorado Boulder Northwestern University Management Sciences (United States)University of Colorado System Johns Hopkins University

About

Richard H. Byrd is an author at University of Colorado Boulder specializing in engineering, mathematical programming, and numerical analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	32	41	16.2K
2	Computer Science	19	23	12.3K
3	Computer Engineering	6	6	9.9K
4	Data Science	3	3	1.1K
5	Public Health	1	1	368

Richard H. Byrd

Publications

18.2K

Citations

H-Index

Page 1

	Year	Citations
A Limited Memory Algorithm for Bound Constrained Optimization Richard H. Byrd, Peihuang Lu, Jorge Nocedal, SIAM Journal on Scientific Computing Mathematical ProgrammingNumerical AnalysisEngineeringMachine LearningConstrained Optimization	1995	6K
Algorithm 778: L-BFGS-B Ciyou Zhu, Richard H. Byrd, Peihuang Lu, ACM Transactions on Mathematical Software Mathematical ProgrammingNumerical AnalysisLarge-scale Global OptimizationEngineeringAlgorithmic Library	1997	3.3K
An Interior Point Algorithm for Large-Scale Nonlinear Programming Richard H. Byrd, Mary E. Hribar, Jorge Nocedal SIAM Journal on Optimization	1999	1.7K
A trust region method based on interior point techniques for nonlinear programming Richard H. Byrd, Jean Charles Gilbert, Jorge Nocedal Mathematical Programming Numerical AnalysisConic OptimizationMathematical ProgrammingEngineeringContinuous Optimization	2000	1.6K
Representations of quasi-Newton matrices and their use in limited memory methods Richard H. Byrd, Jorge Nocedal, Robert B. Schnabel Mathematical Programming Numerical AnalysisMathematical ProgrammingEngineeringMatrix FactorizationQuasi-newton Matrices	1994	732
A Stochastic Quasi-Newton Method for Large-Scale Optimization Richard H. Byrd, Samantha Hansen, Jorge Nocedal, SIAM Journal on Optimization Numerical AnalysisMathematical ProgrammingEngineeringMachine LearningCurvature Information	2016	442
Approximate solution of the trust region problem by minimization over two-dimensional subspaces Richard H. Byrd, Robert B. Schnabel, Gerald A. Shultz Mathematical Programming Mathematical ProgrammingNumerical AnalysisApproximate SolutionEngineeringTwo-dimensional Subspaces	1988	414
Sample size selection in optimization methods for machine learning Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Mathematical Programming Model OptimizationHyperparameter EstimationEngineeringMachine LearningSample Size Selection	2012	384
A Stable and Efficient Algorithm for Nonlinear Orthogonal Distance Regression Paul T. Boggs, Richard H. Byrd, Robert B. Schnabel SIAM Journal on Scientific and Statistical Computing Parameter EstimationEngineeringRegression AnalysisData ScienceIndependent Variables	1987	368
A Tool for the Analysis of Quasi-Newton Methods with Application to Unconstrained Minimization Richard H. Byrd, Jorge Nocedal SIAM Journal on Numerical Analysis Numerical AnalysisMathematical ProgrammingQuasi-newton MethodsEngineeringUniformly Convex Problems	1989	364

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