scholarly journals A new reprojection of the conjugate directions

2019 ◽  
Vol 9 (2) ◽  
pp. 157-171
Author(s):  
József Abaffy ◽  
Keyword(s):  
Conjugate Directions

scholarly journals A Hybrid Control Algorithm for Gradient-Free Optimization using Conjugate Directions

2020 ◽  
Vol 53 (2) ◽  
pp. 5825-5830
Author(s):  
Alessandro Melis ◽  
Ricardo G. Sanfelice ◽  
Lorenzo Marconi
Keyword(s):  
Control Algorithm ◽  
Hybrid Control ◽  
Conjugate Directions

Convergence rate of methods of conjugate directions

Cybernetics ◽  
1978 ◽  
Vol 13 (6) ◽  
pp. 892-902
Author(s):  
Yu. M. Danilin
Keyword(s):  
Convergence Rate ◽  
Conjugate Directions

scholarly journals The Use of Optimization Techniques to Design Controlled Diffusion Compressor Blading

1982 ◽  
Author(s):  
N. L. Sanger
Keyword(s):  
Optimization Procedure ◽  
Inviscid Flow ◽  
General Purpose ◽  
Optimization Techniques ◽  
Conjugate Directions ◽  
Surface Boundary ◽  
Controlled Diffusion ◽  
Constrained Problems ◽  
Blade Section ◽  
Stator Blade

A method is presented for automating compressor blade design using numerical optimization, and is applied to the design of a controlled diffusion stator blade row. A general purpose optimization procedure is employed, which is based on conjugate directions for locally unconstrained problems and on feasible directions for locally constrained problems. Coupled to the optimizer is an analysis package consisting of three analysis programs which calculate blade geometry, inviscid flow, and blade surface boundary layers. The optimization concepts are briefly discussed. Selection of design objective and constraints is described. The procedure for automating the design of a two-dimensional blade section is discussed, and design results are presented.

A New Type of Optimization Method Based on Conjugate Directions

2013 ◽  
Vol 347-350 ◽  
pp. 3029-3034
Author(s):  
Xin Pan
Keyword(s):  
Large Scale ◽  
Line Search ◽  
Optimization Method ◽  
New Method ◽  
Conjugate Directions ◽  
Exact Line Search ◽  
Large Scale Problems ◽  
New Type ◽  
Quadratic Termination

A new type of optimization method based on conjugate directions is proposed in this paper. It can be proved that this type of method has quadratic termination property without exact line search. The new method requires only the storage of 4 vectors such that it is suitable for large scale problems. Numerical experiences show that the new method is effective.

Methods of conjugate directions versus quasi-Newton methods

1972 ◽  
Vol 3-3 (1) ◽  
pp. 101-116 ◽  
Author(s):  
Garth P. McCormick ◽  
Klaus Ritter
Keyword(s):  
Conjugate Directions ◽  
Newton Methods ◽  
Quasi Newton
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