Εξώφυλλο

On the Modifications of a Broyden's Single Parameter Rank-Two Quasi-Newton Method for Unconstrained Minimization

The thesis concerns mainly in finding the numerical solution of non-linear unconstrained problems. We consider a well-known class of optimization methods called the quasi-Newton methods, or variable metric methods. In particular, a class of quasi-Newton method named Broyden's single parameter r...

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Κύριος συγγραφέας:	Leong, Wah June
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	1999
Διαθέσιμο Online:	http://ethesis.upm.edu.my/id/eprint/4158/1/FSAS_1999_7_F.pdf
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Παρόμοια τεκμήρια

On the Modifications of a Broyden's Single Parameter Rank-Two Quasi-Newton Method for Unconstrained Minimization
ανά: Leong, Wah June
Έκδοση: (1999)

On the modifications of a broyden's single parameter rank-two quasi-Newton method for unconstrained minimization /
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Modified Quasi-Newton Methods For Large-Scale Unconstrained Optimization
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Modified quasi-newton methods for large-scale unconstrained optimization /
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Preconditioning subspace quasi-newton method for large scale unconstrained optimization /
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Quasi-Newton type method via weak secant equations for unconstrained optimization
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Quasi-Newton type method via weak secant equations for unconstrained optimization /
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Preconditioning limited memory quasi-Newton methods for large scale unconstrained optimization /
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New quasi-Newton methods via higher order tensor models.
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Preconditioned subspace quasi-newton method for large scale optimization
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Symmetric rank-one method and its modifications for unconstrained optimization
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Symmetric rank-one method and its modifications for unconstrained optimization
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Symmetric rank-one method and its modifications for unconstrained optimization /
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Scaled memoryless symmetric rank one method for large-scale unconstrained optimization
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Diagonal hessian approximation for limited memory quasi-newton via variational principle
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A restarting approach on symmetric rank one update for unconstrained optimization
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Multi-steps symmetric rank-one update for unconstrained optimization
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Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
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Modified quasi-Newton type methods using gradient flow system for solving unconstrained optimization
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Modified quasi-Newton type methods using gradient flow system for solving unconstrained optimization /
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Positive-definite memoryless symmetric rank one method for large-scale unconstrained optimization
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Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
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A Switching Criterion in Hybrid Quasi-Newton BFGS - Steepest Descent Direction
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A matrix-free quasi-Newton method for solving large-scale nonlinear systems.
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A Class of Diagonally Preconditioned Limited Memory Quasi-Newton Methods for Large-Scale Unconstrained Optimization
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A Class of Diagonally Preconditioned Limited Memory Quasi-Newton Methods for Large-Scale Unconstrained Optimization
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A class of diagonally preconditioned limited memory quasi-Newton methods for large-scale unconstrained optimization /
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A symmetric rank-one method based on extra updating techniques for unconstrained optimization.
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