Keyword: gradient methods

Found 68 papers in total
Sensitivity analysis of traffic equilibria
Sensitivity analysis of traffic equilibria
2004,
The contribution of this paper is a complete analysis of the sensitivity of elastic...
A robust boosting method for mislabeled data
A robust boosting method for mislabeled data
2004,
We propose a new, robust boosting method by using a sigmoidal function as a loss...
Optimizing and assigning price levels for air traffic management
Optimizing and assigning price levels for air traffic management
2002,
Pricing policies could encourage airline companies to modify departure times and...
Superlinear convergence of factorized structured quasi-Newton methods for nonlinear optimization
Superlinear convergence of factorized structured quasi-Newton methods for nonlinear optimization
2000,
This paper considers factorized structured quasi-Newton methods for solving nonlinear...
Learning equilibrium play: A myopic approach
Learning equilibrium play: A myopic approach
1999,
We model repeated play of noncooperative stage games in terms of approximate gradient...
An evolutionary heuristic for quadratic 0–1 programming
An evolutionary heuristic for quadratic 0–1 programming
1999,
In this paper we present a heuristic algorithm for the well-known Unconstrained...
A new class of semismooth Newton-type methods for nonlinear complementarity problems
A new class of semismooth Newton-type methods for nonlinear complementarity problems
1998,
We introduce a new, one-parametric class of NCP-functions. This class subsumes the...
Qualitative company performance evaluation: Linear discriminant analysis and neural network models
Qualitative company performance evaluation: Linear discriminant analysis and neural network models
1999,
In this paper, we present a classification model to evaluate the performance of...
Gradient projection and local region search for multiobjective optimisation
Gradient projection and local region search for multiobjective optimisation
1999,
This paper presents a new method for multiobjective optimisation based on gradient...
Parallel computational issues for box constrained quadratic programming
Parallel computational issues for box constrained quadratic programming
1997,
This paper deals with the solution of Box-Constrained Quadratic Programming problems...
Variational like-inequalities in Banach spaces
Variational like-inequalities in Banach spaces
1998,
In this paper we consider the existence of the solution of a variational-like...
Local convergence of the symmetric rank-one iteration
Local convergence of the symmetric rank-one iteration
1998,
We consider conditions under which the SR1 iteration is locally convergent. We apply...
Convergence properties of feasible descent methods for solving variational inequalities in Banach spaces
Convergence properties of feasible descent methods for solving variational inequalities in Banach spaces
1998,
This work is concerned with the analysis of convergence properties of feasible descent...
A globally convergent sequential quadratic programming algorithm for mathematical programs with linear complementarity constraints
A globally convergent sequential quadratic programming algorithm for mathematical programs with linear complementarity constraints
1998,
This paper presents a sequential quadratic programming algorithm for computing a...
Computing gradients in large-scale optimization using automatic differentiation
Computing gradients in large-scale optimization using automatic differentiation
1997,
The accurate and efficient computation of gradients for partially separable functions...
Incorporating the major consensus concurrency control mechanism into the database allocation problem
Incorporating the major consensus concurrency control mechanism into the database allocation problem
1995,
The problem of database allocation incorporating a specific concurrency control...
Learning time of linear associative memory
Learning time of linear associative memory
1997,
Neural networks can be used as associative memories which can learn problems of...
Asynchronous gradient algorithms for a class of convex separable network flow problems
Asynchronous gradient algorithms for a class of convex separable network flow problems
1996,
We consider the single commodity strictly convex network flow problem. The dual of...
Constraint aggregation principle in convex optimization
Constraint aggregation principle in convex optimization
1997,
A general constraint aggregation technique is proposed for convex optimization...
Fuzzy multiple attributes and multiple hierarchical decision making
Fuzzy multiple attributes and multiple hierarchical decision making
1996,
A procedure is proposed to solve the multiple attributes and multiple hierarchical...
Simulated annealing simulated
Simulated annealing simulated
1997,
The performance of simulated annealing methods for finding a global minimum point of a...
Optimality and duality in nonlinear programming involving semilocally preinvex and related functions
Optimality and duality in nonlinear programming involving semilocally preinvex and related functions
1996,
For a nondifferentiable nonlinear programming problem, Fritz John and...
A block-parallel conjugate gradient method for separable quadratic programming problems
A block-parallel conjugate gradient method for separable quadratic programming problems
1996,
For a large-scale quadratic programming problem with a separable objective function, a...
Optimization of the transient and steady-state behavior of discrete event systems
Optimization of the transient and steady-state behavior of discrete event systems
1996,
The paper presents a general framework for applying simulation to optimize the...
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