P. Tucker

2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom P. Tucker trusts

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

1. Yuhai Wu (in Artificial Intelligence)

Papers from P. Tucker's perspective

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

1. A rigorous framework for optimization of expensive functions by surrogates
2. Large sample properties of simulations using latin hypercube sampling
3. Nonlinear programming without a penalty function (Mathematical programming)
4. A Pattern Search Filter Method for Nonlinear Programming without Derivatives (SIAM Journal on Optimization)
5. Numerical methods for unconstrained optimization and nonlinear equations
6. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
7. Algorithmic construction of optimal symmetric Latin hypercube designs
8. Smoothing noisy data with spline functions
9. Statistical Learning Theory
10. Solutions of ill-posed problems

Their papers

• Surrogate-based Analysis and Optimization (2005)