Recent progress in unconstrained nonlinear optimization without derivatives
- A.R. Conn
- K. Scheinberg
- et al.
- 1997
- Mathematical Programming, Series B
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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51 results for Andrew Conn
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
CUTE: Constrained and Unconstrained Testing Environment
- I. Bongartz
- A.R. Conn
- et al.
- 1995
- ACM Transactions on Mathematical Software (TOMS)
Mixed-integer nonlinear and continuous optimization formulations for aircraft conflict avoidance via heading and speed deviations
- Sonia Cafieri
- Andrew R. Conn
- et al.
- 2023
- EJOR
A derivative-free exact penalty algorithm: basic ideas, convergence theory and computational studies
- Caio Merlini Giuliani
- Eduardo Camponogara
- et al.
- 2022
- Computational and Applied Mathematics
A progressive barrier derivative-free trust-region algorithm for constrained optimization
- Charles Audet
- Andrew Conn
- et al.
- 2018
- COAP
Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm
- Nadir Amaioua
- Charles Audet
- et al.
- 2018
- EJOR
Solving air traffic conflict problems via local continuous optimization
- Clément Peyronne
- Andrew Conn
- et al.
- 2015
- EJOR
Lagrangian relaxation based decomposition for well scheduling in shale-gas systems
- Brage Rugstad Knudsen
- Ignacio E. Grossmann
- et al.
- 2014
- Computers & Chemical Engineering
Embedding structural information in simulation-based optimization
- Vidar Gunnerud
- Andrew Conn
- et al.
- 2013
- Computers & Chemical Engineering