Quasi-Newton
Matrix Transformations and Quasi Newton Methods
... In this paper, we are interested in the study of infinite linear systems represented by the matrix equation AX = B, where A is an infinite matrix with infinitely many rows and infinitely many columns, B and X are ...
17
The Design of Circular Microstrip Patch Antenna by Using Quasi Newton Algorithm of ANN
... The NN structure for the analysis of CMSA is shown in Figure 2. The Quasi-Newton algorithm has been con- sidered for ANN modeling. The QN-ANN model con- sists of three layers i.e. input layer, hidden layer ...
6
LP SVR Model Selection Using an Inexact Globalized Quasi Newton Strategy
... An algorithm for LP-SVR model selection has been dis- cussed in this paper. We propose a quasi-Newton method for function minimization, that uses a globalization strategy and an inexact computation of first ...
10
On Application of a New Quasi-Newton Algorithm for Solving Optimal Control Problems
... ( )|| (1.4) where $ > 0 , is the penalty parameter and $|| ( ) − ( ) + ( )|| is the penalty term. We assume that $ is a suitably chosen parameter to ensure good constraint satisfaction for each of the problems under ...
5
Quasi-Newton methods for atmospheric chemistry simulations: implementation in UKCA UM vn10.8
... Our adaptation of the QN method uses an “inverse update” approximation (Kvaalen, 1991) instead of the more com- monly used “forward updates” (Broyden, 1965). We demon- strate that the approach improves the convergence ...
20
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
... These methods try to find a descent quasi-Newton direction at every iteration, and invoke a line search to minimize the one-dimensional convex function along that direction. We note that the line search ...
56
A Quasi-Newton Population Migration Algorithm for Solving Systems of Nonlinear Equations
... iterative algorithm. However, local search property of these algorithms will be efficient only when the initial values are near the optimal values. Therefore, a new method was proposed combined Population Migration ...
7
Determining optimal policies for sugarcane harvesting in Thailand using bi objective and quasi Newton optimization methods
... and quasi-Newton optimization models (fifth column) are greater than the actual profits for both fresh and fired sugarcane in all four regions in crop years 2012/13 and ...the quasi-Newton method ...
15
Improved Wireless Sensor Location Algorithm Based on Combined Particle Swarm-Quasi-Newton with Threshold N
... As seen from Figs. 6 and 7, that DV-Hop improved based on the combined particle swarm-quasi-Newton algorithm minimizes the position errors in relation to the other two algorithms, but somewhat less, maybe a ...
11
7. A Modification of Quasi-Newton (DFP) Method for Solving Unconstrained Optimization Problems
... (1.14) The remaining sections of the paper are arranged as follows. In section 2 the New proposed method, in section 3, Derivative of New5 Algorithm of Quasi–Newton (DFP) and algorithm. In section 4 ...
11
A quasi-Newton optimal method for the global linearisation of the output feedback pole assignment
... Note here, that (12) represents the main objective function, where as t increases guarantees that the angle from the degenerate point will increase too, and hence the actual distance from that point, with maximum angle ...
8
A stochastic quasi Newton method for molecular simulations
... stochastic Quasi-Newton (S-QN) method applies an automated scaling for different length/time scales in the system, by including curvature or correlation information in the space- dependent mobility, while ...
166
Quasi-Newton Methods for the Acceleration of Multi-Physics Codes
... on quasi-Newton methods. These quasi-Newton methods can easily be “strapped onto” the original iteration loop without the need to modify the underlying code and with little extra computational ...
9
A quasi Newton algorithm for large scale nonlinear equations
... Inspired by the above observations, we make a study of inexact quasi-Newton methods with a new nonmonotone technique for solving smooth nonlinear equations. In the kth iteration of our algorithm, the ...
16
Extra multistep BFGS updates in quasi Newton methods
... The note starts with a brief account of some of the successful multistep algorithms that will be used in the numerical comparisons in the last section of this note. Then the new implicit updated algorithms are derived. ...
8
Coupling of Partitioned Physics Codes with Quasi-Newton Methods
... In this paper we analyze the performance of ten acceleration techniques that can be applied to accelerate the convergence of a non-linear Gauss-Seidel iteration, on three different multi- physics problems. The methods ...
6
Stochastic quasi-Newton molecular simulations
... Leiden Institute of Chemistry, Leiden University, P.O. Box 9502, 2300 RA Leiden, The Netherlands 共 Received 23 December 2009; revised manuscript received 22 April 2010; published 24 August 2010 兲 We report a new and ...
19
Quasi-Newton Method: A New Direction
... a quasi-Newton method: constructing a low-rank estimate of the Hessian, and thus a fast estimate of its ...So quasi-Newton methods are not “just” standard Gaussian regression on ...
23
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
... This quasi-Newton stochastic method is statistically efficient but is penalized in practice by the cost of storing and manipulating the metric ...a quasi-Newton stochastic method whose cost by ...
18
An extension of the quasi-Newton method for minimizing locally Lipschitz functions
... In this paper, the generalized quasi-Newton algorithm is presented for mini- mizing locally Lipschitz functions. Same as the iterative optimization meth- ods, first we introduced a descent direction for the ...
17