54 research outputs found
Numerical experiments with the LANCELOT package (Release A) for large-scale nonlinear optimization
Get PDFNumerical experiments with the LANCELOT package (Release A) for large-scale nonlinear optimization
Get PDFConvergence properties of an augmented Lagrangian algorithm for optimization with a combination of general equality and linear constraints
Get PDFConvergence properties of an augmented Lagrangian algorithm for optimization with a combination of general equality and linear constraints
Get PDFConvergence properties of minimization algorithms for convex constraints using a structured trust region
Get PDFGlobal Convergence Of The Partitioned BFGS Algorithm For Convex Partially Separable Optimization.
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MEUSE: an origin-destination matrix estimator that exploits structure
Get PDFThis paper proposes an improvement of existing methods of origin-destination matrix estimation by an explicit use of data describing the structure of the matrix. These data can be namely obtained from parking surveys. The new model is applied on both illustrative and real examples, and the results are discussed. Comparisons with the results obtained with SATURN/ME2 and the generalized least-squares method are also presented
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