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Line search

Known as: Linesearch, Linesearch method, Linesearch methods 
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
BacktrackingBacktracking line searchBroyden–Fletcher–Goldfarb–Shanno algorithmConjugate gradient method

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Adaptive Gradient-Based Methods for Adaptive Power Allocation in OFDM-Based Cognitive Radio Networks
A gradient-based method is designed for power allocation in orthogonal-frequency-division-multiplexing (OFDM) -based cognitive… 
Highly Cited
2011
Highly Cited
2011
Handling multi-lean measures with simulation and simulated annealing
Highly Cited
2011
Highly Cited
2011
Recipes on hard thresholding methods
We present and analyze a new set of sparse recovery algorithms within the class of hard thresholding methods. We provide optimal… 
2010
2010
PLS-based model predictive control relevant identification: PLS-PH algorithm
Highly Cited
2009
Highly Cited
2009
Error analysis and optimal design of a class of translational parallel kinematic machine using particle swarm optimization
SUMMARY In this paper, the optimization of architectural parameters for a class of translational parallel kinematic machine (PKM… 
2004
2004
Structural Labor Supply Models when Budget Constraints are Nonlinear
 Structural labor supply methods are generally needed to separate out income and substitution effects, to calculate deadweight… 
1995
1995
Efficacy of modified backpropagation and optimisation methods on a real-world medical problem
Highly Cited
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
Highly Cited
1991
Highly Cited
1991
Minimization of Locally Lipschitzian Functions
This paper presents a globally convergent model algorithm for the minimization of a locally Lipschitzian function. The algorithm… 
1984
1984
Adaptive Detection Threshold Optimization for Tracking in Clutter
Adaptive detection threshold optimization for improved downstream tracker performance with a Probabilistic Data Association… 
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