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Descent direction
In optimization, a descent direction is a vector that, in the sense below, moves us closer towards a local minimum of our objective function…
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Conjugate gradient method
Gauss–Newton algorithm
Gradient descent
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Mathematical optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
3-D EHD Enhanced Natural Convection over a Horizontal Plate Flow with Optimal Design of a Needle Electrode System
J. Jang
,
C. Chen
Energies
2018
Corpus ID: 115526692
The present study is intended to investigate the effect of electrohydrodynamic (EHD) enhanced heat transfer on natural convection…
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2011
2011
lambda-Perceptron: An adaptive classifier for data streams
N. Pavlidis
,
D. Tasoulis
,
N. Adams
,
D. Hand
Pattern Recognition
2011
Corpus ID: 207321660
2009
2009
Reconstruction of shapes and impedance functions using few far-field measurements
Lin He
,
S. Kindermann
,
M. Sini
Journal of Computational Physics
2009
Corpus ID: 2257669
2009
2009
Linear User Cost Equilibrium: a new algorithm for traffic assignment
G. Gentile
2009
Corpus ID: 59725996
Apparatus for detecting collisions in a printing machine having at least one rotationally driveable rotary body (18; 20) and an…
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2004
2004
The sagitta method for solving linear programs
Ángel Santos-Palomo
European Journal of Operational Research
2004
Corpus ID: 15153031
2002
2002
An L 1 estimation algorithm with degeneracy and linear constraints
Mingren Shi
,
M. A. Lukas
2002
Corpus ID: 29600553
1996
1996
A Fast Descent Method for the Hydro Storage Subproblem in Power Generation
M. P. Nowak
1996
Corpus ID: 5991901
For many years energy optimization has dealt with large scale mixed integer linear programs. The paper concentrates on programs…
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1991
1991
Simulated annealing approach in backpropagation
Silva Amato
,
B. Apolloni
,
Paolo Caporali
,
Ugo Madesani
,
A. Zanaboni
Neurocomputing
1991
Corpus ID: 5402365
1989
1989
A Multistep, Newton-Type Control Strategy for Constrained, Nonlinear Processes
Wei Li
,
L. Biegler
American Control Conference
1989
Corpus ID: 39963258
For linear processes, QDMC has proven to be an effective way of systematically handling both input and output process constraints…
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1987
1987
Relaxation Methods for Linear Programs
P. Tseng
,
D. Bertsekas
Mathematics of Operations Research
1987
Corpus ID: 9219998
In this paper we propose a new method for solving linear programs. This method may be viewed as a generalized coordinate descent…
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