Stephen G. Nash

Numerical Methods & Scientific Computing · 1984–2008

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Numerical Methods & Scientific Computing — 9 citations into it; #81 of 266 by trust here, #163 by citations
• Optimization & Training — 8 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Stephen G. Nash trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Beresford N. Parlett
2. Jorge Nocedal
3. Roger Fletcher

Who trusts Stephen G. Nash overall

1. Toshiyuki Ohtsuka
2. Jorge Nocedal
3. Paul Stapor
4. Benjamin Letham
5. N. Gould
6. James Martens
7. Stephen J. Wright
8. Sergey E. Koposov
9. Fabian Fröhlich
10. P. A. Letham

Papers from Stephen G. Nash's perspective

Ordered by how strongly the researchers Stephen G. Nash trusts endorse each paper. Same corpus, a different order for every researcher.

1. Presolving in linear programming
2. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
3. Linear Programming and Network Flows
4. Genetic Algorithms in Search Optimization and Machine Learning
5. Algorithms for minimization without derivatives
6. A New Approach to Variable Metric Algorithms
7. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
8. Randomized Methods for Linear Constraints: Convergence Rates and Conditioning (Mathematics of Operations Research)
9. Matrix computations
10. Representations of quasi-Newton matrices and their use in limited memory methods

Their papers

• Linear and Nonlinear Optimization (2008) — 561 citations
• Newton-Type Minimization via the Lanczos Method (1984)