Local Convergence of a Primal-Dual Method for Degenerate Nonlinear Programming
Computational Optimization and Applications
Global convergence enhancement of classical linesearch interior point methods for MCPs
Journal of Computational and Applied Mathematics
A Simple Primal-Dual Feasible Interior-Point Method for Nonlinear Programming with Monotone Descent
Computational Optimization and Applications
Computational Optimization and Applications
Nonlinear optimization and parallel computing
Parallel Computing - Special issue: Parallel computing in numerical optimization
Parallel Computing - Special issue: Parallel computing in numerical optimization
Feasible Interior Methods Using Slacks for Nonlinear Optimization
Computational Optimization and Applications
GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization
ACM Transactions on Mathematical Software (TOMS)
Computational Optimization and Applications
Computing Equilibria in General Equilibrium Models via Interior-pointMethods
Computational Economics
MA57---a code for the solution of sparse symmetric definite and indefinite systems
ACM Transactions on Mathematical Software (TOMS)
Optimal shape design in biomimetics based on homogenization and adaptivity
Mathematics and Computers in Simulation
A Nonlinear Programming Based Power Optimization Methodology for Gate Sizing and Voltage Selection
ISVLSI '05 Proceedings of the IEEE Computer Society Annual Symposium on VLSI: New Frontiers in VLSI Design
Process Optimization under Insufficient Experimental Information in the Phase of Service
Automation and Remote Control
A trust-region interior-point method for nonlinear programming
Proceedings of the 2005 conference on Diversity in computing
Interior-Point Algorithms, Penalty Methods and Equilibrium Problems
Computational Optimization and Applications
Large-scale nonlinear optimization in circuit tuning
Future Generation Computer Systems
Computational Optimization and Applications
Mathematics of Operations Research
Some iterative methods for the solution of a symmetric indefinite KKT system
Computational Optimization and Applications
Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria
Computational Optimization and Applications
Computational Optimization and Applications
Steering exact penalty methods for nonlinear programming
Optimization Methods & Software - Dedicated to Professor Michael J.D. Powell on the occasion of his 70th birthday
Path-following methods for shape optimal design of periodic microstructural materials
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
A Parallel Algorithm for NMNF Problems with a Large Number of Capacity Constraints
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Portfolio Selection with Robust Estimation
Operations Research
Applications of one-shot methods in PDEs constrained shape optimization
Mathematics and Computers in Simulation
Large-scale nonlinear optimization in circuit tuning
Future Generation Computer Systems
International Journal of Applied Mathematics and Computer Science
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming
Computational Optimization and Applications
Rate distortion analysis and bit allocation scheme for wavelet lifting-based multiview image coding
EURASIP Journal on Advances in Signal Processing
Free form shape registration using the barrier method
Computer Vision and Image Understanding
Single-ballot risk-limiting audits using convex optimization
EVT/WOTE'10 Proceedings of the 2010 international conference on Electronic voting technology/workshop on trustworthy elections
Multilevel Algorithms for Large-Scale Interior Point Methods
SIAM Journal on Scientific Computing
A Truncated SQP Method Based on Inexact Interior-Point Solutions of Subproblems
SIAM Journal on Optimization
Primal-dual interior-point method for thermodynamic gas-particle partitioning
Computational Optimization and Applications
A Complementarity Framework for Forward Contracting Under Uncertainty
Operations Research
A Primal-Dual Exterior Point Method for Nonlinear Optimization
SIAM Journal on Optimization
An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations
SIAM Journal on Scientific Computing
Recourse-based stochastic nonlinear programming: properties and Benders-SQP algorithms
Computational Optimization and Applications
Optimization-based approach to path planning for closed chain robot systems
International Journal of Applied Mathematics and Computer Science
Numerical treatment of nonlinear Emden---Fowler equation using stochastic technique
Annals of Mathematics and Artificial Intelligence
Shakedown analysis with multidimensional loading spaces
Computational Mechanics
SIAM Journal on Optimization
Entropy search for information-efficient global optimization
The Journal of Machine Learning Research
A landmark-bounded method for large-scale underground mine mapping
Journal of Field Robotics
A particle swarm-BFGS algorithm for nonlinear programming problems
Computers and Operations Research
A regularized graph layout framework for dynamic network visualization
Data Mining and Knowledge Discovery
Approximate KKT points and a proximity measure for termination
Journal of Global Optimization
Manifold learning by preserving distance orders
Pattern Recognition Letters
Parallel deterministic and stochastic global minimization of functions with very many minima
Computational Optimization and Applications
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The design and implementation of a new algorithm for solving large nonlinear programming problems is described. It follows a barrier approach that employs sequential quadratic programming and trust regions to solve the subproblems occurring in the iteration. Both primal and primal-dual versions of the algorithm are developed, and their performance is illustrated in a set of numerical tests.