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Line search
Known as:
Linesearch
, Linesearch method
, Linesearch methods
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In optimization, the line search strategy is one of two basic iterative approaches to find a local minimum of an objective function . The other…
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Related topics
Related topics
31 relations
Backtracking
Backtracking line search
Broyden–Fletcher–Goldfarb–Shanno algorithm
Conjugate gradient method
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
On the computation of the step-size for the CQ-like algorithms for the split feasibility problem
B. Qu
,
Binghua Liu
,
Na Zheng
Applied Mathematics and Computation
2015
Corpus ID: 205425770
Highly Cited
2011
Highly Cited
2011
Handling multi-lean measures with simulation and simulated annealing
R. Al-Aomar
Journal of the Franklin Institute
2011
Corpus ID: 44064198
2010
2010
PLS-based model predictive control relevant identification: PLS-PH algorithm
D. Laurí
,
Miguel A. Martínez
,
J. V. Salcedo
,
J. Sanchís
2010
Corpus ID: 62129551
2004
2004
Structural Labor Supply Models when Budget Constraints are Nonlinear
Bruce D. Meyer
,
B. Heim
2004
Corpus ID: 42784999
Structural labor supply methods are generally needed to separate out income and substitution effects, to calculate deadweight…
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Highly Cited
1999
Highly Cited
1999
Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure-Activity Relationship Studies
C. Waller
,
M. Bradley
Journal of chemical information and computer…
1999
Corpus ID: 206888477
Variable selection is typically a time-consuming and ambiguous procedure in performing quantitative structure−activity…
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1995
1995
Efficacy of modified backpropagation and optimisation methods on a real-world medical problem
D. Alpsan
,
M. Towsey
,
Ö. Özdamar
,
A. Tsoi
,
D. Ghista
Neural Networks
1995
Corpus ID: 21888301
Highly Cited
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
N. Baba
,
Y. Mogami
,
Motokazu Kohzaki
,
Y. Shiraishi
,
Yutaka Yoshida
Neural Networks
1994
Corpus ID: 37941990
Highly Cited
1991
Highly Cited
1991
Minimization of Locally Lipschitzian Functions
J. Pang
,
Shih-Ping Han
,
N. Rangaraj
SIAM Journal on Optimization
1991
Corpus ID: 30468709
This paper presents a globally convergent model algorithm for the minimization of a locally Lipschitzian function. The algorithm…
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Highly Cited
1991
Highly Cited
1991
ON THE TREATMENT OF INEQUALITY CONSTRAINTS ARISING FROM CONTACT CONDITIONS IN FINITE ELEMENT ANALYSIS
A. Eterovic
,
K. Bathe
1991
Corpus ID: 13084070
1984
1984
Adaptive Detection Threshold Optimization for Tracking in Clutter
S. Gelfand
,
T. Fortmann
,
Y. Bar-Shalom
American Control Conference
1984
Corpus ID: 30187265
Adaptive detection threshold optimization for improved downstream tracker performance with a Probabilistic Data Association…
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