A globally convergent lagrangian barrier algorithm for optimization with general inequality constraints and simple bounds
- A.R. Conn
- Nick Gould
- et al.
- 1997
- Mathematics of Computation
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11 results for N.I.M. Gould
CUTE: Constrained and Unconstrained Testing Environment
- I. Bongartz
- A.R. Conn
- et al.
- 1995
- ACM Transactions on Mathematical Software (TOMS)
Global convergence of a trust-region SQP-filter algorithm for general nonlinear programming
- Roger Fletcher
- Nicholas I.M. Gould
- et al.
- 2003
- SIAM Journal on Optimization
A primal-dual trust-region algorithm for non-convex nonlinear programming
- Andrew R. Conn
- Nicholas I. M. Gould
- et al.
- 2000
- Mathematical Programming, Series B
On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds
- A.R. Conn
- N.I.M. Gould
- et al.
- 1997
- COAP
Numerical experiments with the LANCELOT package (Release A) for large-scale nonlinear optimization
- A.R. Conn
- Nick Gould
- et al.
- 1996
- Mathematical Programming, Series B
Convergence properties of minimization algorithms for convex constraints using a structured trust region
- A.R. Conn
- Nick Gould
- et al.
- 1996
- SIAM Journal on Optimization
Convergence properties of an augmented lagrangian algorithm for optimization with a combination of general equality and linear constraints
- A.R. Conn
- N.I.M. Gould
- et al.
- 1996
- SIAM Journal on Optimization
A note on exploiting structure when using slack variables
- A.R. Conn
- Nick Gould
- et al.
- 1994
- Mathematical Programming
A note on using alternative second-order models forthe subproblems arising in barrier function methods forminimization
- A.R. Conn
- Nick Gould
- et al.
- 1994
- Numerische Mathematik