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Nicholas I. M. Gould
Researcher at Rutherford Appleton Laboratory
Publications - 196
Citations - 14276
Nicholas I. M. Gould is an academic researcher from Rutherford Appleton Laboratory. The author has contributed to research in topics: Nonlinear programming & Quadratic programming. The author has an hindex of 50, co-authored 195 publications receiving 12921 citations. Previous affiliations of Nicholas I. M. Gould include Stanford University & Science and Technology Facilities Council.
Papers
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Book
Trust Region Methods
TL;DR: This chapter discusses Trust-Region Mewthods for General Constained Optimization and Systems of Nonlinear Equations and Nonlinear Fitting, and some of the methods used in this chapter dealt with these systems.
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CUTE: constrained and unconstrained testing environment
TL;DR: The scope and functionality of a versatile environment for testing small- and large-scale nonlinear optimization algorithms, and tools to assist in building an interface between this input format and other optimization packages are discussed.
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A globally convergent augmented Lagrangian algorithm for optimization with general constraints and simple bounds
TL;DR: In this paper, the global and local convergence properties of a class of augmented Lagrangian methods for solving nonlinear programming problems are considered. And the stopping rules for the inner minimization algorithm have this in mind.
Book
Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A)
TL;DR: This book, which is concerned with algorithms for solving large-scale non-linear optimization problems, is the only complete source of documentation for the software package Lancelot and will mainly be used as a manual in conjunction with the software Package Lancelot.
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CUTEr and SifDec: A constrained and unconstrained testing environment, revisited
TL;DR: A new version of CUTE, now known as CUTEr, is presented, which includes reorganisation of the environment to allow simultaneous multi-platform installation, new tools for, and interfaces to, optimization packages, and a considerably simplified and entirely automated installation procedure for unix systems.