Applied Optimization - Advances in Nonlinear Programming
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Published By Springer US

9781461333371, 9781461333357

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Combining Trust Region and Line Search Techniques

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_7 ◽

1998 ◽

pp. 153-175 ◽

Cited By ~ 67

Author(s):

Jorge Nocedal ◽

Ya-xiang Yuan

Keyword(s):

Line Search ◽

Trust Region ◽

Search Techniques ◽

Line Search Techniques

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Newton-type Methods for Variational Inequalities

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_5 ◽

1998 ◽

pp. 105-118 ◽

Cited By ~ 1

Author(s):

Jiye Han ◽

Defeng Sun

Keyword(s):

Variational Inequalities

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SQ2P, Sequential Quadratic Constrained Quadratic Programming

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_8 ◽

1998 ◽

pp. 177-204 ◽

Cited By ~ 6

Author(s):

Serge Kruk ◽

Henry Wolkowicz

Keyword(s):

Quadratic Programming

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Structure and Efficient Hessian Calculation

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_3 ◽

1998 ◽

pp. 57-72 ◽

Cited By ~ 1

Author(s):

Thomas F. Coleman ◽

Arun Verma

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Algorithms Guaranteeing Iterative Points within Nonnegative Orthant in Complementarity Problems

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_16 ◽

1998 ◽

pp. 311-324

Author(s):

Hou-Duo Qi

Keyword(s):

Complementarity Problems ◽

Nonnegative Orthant

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A Primal-dual Interior Method for Nonconvex Nonlinear Programming

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_2 ◽

1998 ◽

pp. 31-56 ◽

Cited By ~ 29

Author(s):

David M. Gay ◽

Michael L. Overton ◽

Margaret H. Wright

Keyword(s):

Nonlinear Programming ◽

Interior Method ◽

Primal Dual

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A Further Study on a Penalty Function of Bertsekas

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_18 ◽

1998 ◽

pp. 345-351

Author(s):

Liwei Zhang ◽

Huanwen Tang

Keyword(s):

Penalty Function

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Superlinear Convergence of a Symmetric Primal-Dual Path Following Algorithm for SDP

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_14 ◽

1998 ◽

pp. 283-297

Author(s):

Zhi-Quan Luo ◽

Jos F. Sturm ◽

Shuzhong Zhang

Keyword(s):

Superlinear Convergence ◽

Path Following ◽

Primal Dual ◽

Path Following Algorithm

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Robust Methods for an Inverse Heat Conduction Problem

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_13 ◽

1998 ◽

pp. 273-281

Author(s):

Richard Lee

Keyword(s):

Heat Conduction ◽

Heat Conduction Problem ◽

Inverse Heat Conduction Problem ◽

Inverse Heat Conduction ◽

Robust Methods

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Using Huber Method to Solve Nonlinear L 1-Norm Problem

Applied Optimization - Advances in Nonlinear Programming ◽

10.1007/978-1-4613-3335-7_12 ◽

1998 ◽

pp. 263-271 ◽

Cited By ~ 1

Author(s):

Li Gao

Keyword(s):

Huber Method

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Applied Optimization - Advances in Nonlinear ProgrammingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

Combining Trust Region and Line Search Techniques

Newton-type Methods for Variational Inequalities

SQ2P, Sequential Quadratic Constrained Quadratic Programming

Structure and Efficient Hessian Calculation

Algorithms Guaranteeing Iterative Points within Nonnegative Orthant in Complementarity Problems

A Primal-dual Interior Method for Nonconvex Nonlinear Programming

A Further Study on a Penalty Function of Bertsekas

Superlinear Convergence of a Symmetric Primal-Dual Path Following Algorithm for SDP

Robust Methods for an Inverse Heat Conduction Problem

Using Huber Method to Solve Nonlinear L 1-Norm Problem

Applied Optimization - Advances in Nonlinear Programming
Latest Publications