[PDF] Top 20 Global Convergence of an Extended Descent Algorithm without Line Search for Unconstrained Optimization
Has 10000 "Global Convergence of an Extended Descent Algorithm without Line Search for Unconstrained Optimization" found on our website. Below are the top 20 most common "Global Convergence of an Extended Descent Algorithm without Line Search for Unconstrained Optimization".
Global Convergence of an Extended Descent Algorithm without Line Search for Unconstrained Optimization
... How to cite this paper: Chen, C.L., Luo, L.L., Han, C.H. and Chen, Y. (2018) Global Convergence of an Extended Descent Algo- rithm without Line Search for Uncon- strained ... See full document
8
Global convergence of a modified conjugate gradient method
... solve unconstrained optimization problems is proposed which satisfies the sufficient descent condition in the case of the strong Wolfe line search, and its global convergence ... See full document
12
On the Global Convergence of the PERRY SHANNO Method for Nonconvex Unconstrained Optimization Problems
... the global convergence of the Perry-Shanno’s memoryless quasi-Newton (PSMQN) method with a new inexact line search when applied to nonconvex unconstrained minimization ...particularly ... See full document
6
A Non Monotone Trust Region Method with Non Monotone Wolfe Type Line Search Strategy for Unconstrained Optimization
... non-monotone line search strategy for unconstrained optimization ...our algorithm utilizes non-monotone Wolfe line search to get the next point if a trial step is not ...a ... See full document
6
A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
... sufficient descent condition is very important to the global convergence of the nonlinear conjugate gradient ...a descent direction. In this paper, we propose a new Armijo-type line ... See full document
14
A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization
... holds without any line searches, and the algorithm satisfys Property ...MN algorithm has higher precision and less number of times of ...VMN algorithm, it also have the sufficient de- ... See full document
5
A Conjugate Gradient Method for Unconstrained Optimization Problems
... for unconstrained optimization ...sufficient descent property under the strong Wolfe-Powell SWP line search rule relaxing the parameter σ < ...the global convergence with ... See full document
14
A Non-Monotone Conic Trust Region Method With Line Search For Unconstrained Optimization
... Wolfe-type line search [11] to propose our new ...with line search based on conic model in Section ...new algorithm and the global convergence property are given in ... See full document
7
A Line Search Algorithm for Unconstrained Optimization
... the global convergence of the algorithm by nonlinear conjugate gradient method, and it may be crucial for conjugate gradient methods ...(SWP) line search rules which is to find the step ... See full document
7
A Modified FR Conjugate Gradient Method with Strong Wolfe Line Search
... solving unconstrained optimization problems. The sufficient descent property of the MFR method is satisfied without any line ...if line search is ...of global ... See full document
7
Adaptive cuckoo search algorithm for unconstrained optimization
... benchmark optimization functions, the superiority of the ACSA over the standard CSA is validated, in terms of the convergence ...proposed algorithm preserves the uniqueness and the fascinating ... See full document
9
Three modified Polak Ribière Polyak conjugate gradient methods with sufficient descent property
... the global convergence of the above three methods is established under some Armijo type line search or strong Wolfe line ...Armijo line search maybe approaches zero, and ... See full document
14
A conjugate gradient algorithm for large scale unconstrained optimization problems and nonlinear equations
... large-scale unconstrained optimization problems and nonlinear equations, we propose a new three-term conjugate gradient algorithm under the Yuan–Wei–Lu line search ...steepest ... See full document
19
An efficient algorithm for steepest descent method for unconstrained optimization
... Exact line searches along each steepest descent direction converge very ...superlinear convergence and performs quite ...fast convergence and possesses monotone property is proposed by ... See full document
14
3. A New Conjugate Gradient for Nonlinear Unconstrained Optimization
... nonlinear unconstrained optimization. The given method satisfies descent condition under strong Wolfe line search andglobal convergence property for uniformly ... See full document
13
A nonmonotone hybrid conjugate gradient method for unconstrained optimization
... the global convergence of the algorithm is proved in Section ...The line convergence rate of the algorithm is shown in Section ... See full document
13
Minimization of Unconstrained Nonpolynomial Large-Scale Optimization Problems Using Conjugate Gradient Method Via Exact Line Search
... powerful algorithm for solving large-scale nonlinear optimization ...the convergence is not guarantee because it requires large computing storage ... See full document
5
Sensor Distribution Optimization Based on Heuristic Algorithms for Structural Health Monitoring
... heuristic algorithm for optimization, it is necessary to have an in-depth understanding of the principles of the ...local optimization and speed up the optimization efficiency, the combination ... See full document
6
Differential Artificial Bee Colony Algorithm for Global Numerical Optimization
... EDABC algorithm have been compared with the results presented by ...Swarm Optimization (PSO), Genetic Algorithm (GA) and Cheng Yu-hu ...other algorithm on Rosenbrock, Rastrigin and ...the ... See full document
8
Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization
... be extended to a wider class of feature vectors than that is assumed in our present derivation in which the weakness of the correlations is assumed, as seen in ... See full document
30
Related subjects