steepest descent optimization method
An efficient algorithm for steepest descent method for unconstrained optimization
... each steepest descent direction converge very ...Barzilai-Borwein method is not monotone, thus it is not easy to be generalized for general nonlinear ...new steepest descent ...
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Limited Memory Steepest Descent Methods for Nonlinear Optimization
... LMSD method for solving unconstrained nonconvex opti- mization ...a steepest descent method, the step computation in each iteration only requires the evaluation of a gradient of the objective ...
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1. First and second order training algorithms for artificial neural networks to detect the cardiac state
... the optimization techniques are discussed in ...the steepest descent ...gradient method can be done by judiciously selecting the initial ...
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Optimal Control of Microgrid Networks Using Gradient Descent and Differential Evolution Methods
... of optimization techniques. In optimization, a problem is typically specified by a set of parameters and an objective function, which is also called a fitness function in the context of evolutionary ...the ...
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New Programming Approach for Steepest Descent Optimization of Rocket Trajectories
... trajectory optimization problem is explained in the following ...Euler‟s method of integration can be used for ...Euler‟s method of integration the integration step size is ...
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Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
... hybrid steepest-descent method for variational inequality problems over the intersection of the fixed point sets of nonexpansive mappings,” in Inherently Parallel Algorithms in Feasibility and ...
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Efficient implementation of a modified and relaxed hybrid steepest descent method for a type of variational inequality
... a method for unifying the treatment of equilibrium problems encountered in areas as diverse as economics, optimal control, game theory, transportation science, and ...mathematical optimization problems, ...
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A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization
... sufficient descent property for any line search, and had an advancement that the directions would approach to the steepest descent directions while the steplength was ...
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Hybrid Steepest-Descent Methods for Solving Variational Inequalities Governed by Boundedly Lipschitzian and Strongly Monotone Operators
... hybrid steepest descent method for the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings,” in Inherently Parallel Algorithms in Feasibility and ...
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Finite Step Relaxed Hybrid Steepest Descent Methods for Variational Inequalities
... hybrid steepest-descent method for the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings,” in Inherently Parallel Algorithms in Feasibility and ...
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A relaxed hybrid steepest descent method for common solutions of generalized mixed equilibrium problems and fixed point problems
... The method of the steepest descent, also known as The Gradient Descent, is the simplest of the gradient ...simple optimization algorithm, this popular method can find the local ...
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A Generalized Hybrid Steepest-Descent Method for Variational Inequalities in Banach Spaces
... hybrid steepest descent method for the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings,” in Inherently Parallel Algorithms in Feasibility and ...
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A Hybrid Method for Monotone Variational Inequalities Involving Pseudocontractions
... hybrid steepest descent method for the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings,” in Inherently Parallel Algorithms in Feasibility and ...
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An Iterative Algorithm for Generalized Mixed Equilibria with Variational Inequalities
... It is considered and studied in [25]. The set of solutions of EP is denoted by EP(Θ ). It is worth to mention that the EP is an unified model of several problems, namely, variational inequality problems, ...
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Synchronal algorithm and cyclic algorithm for fixed point problems and variational inequality problems in hilbert spaces
... Yamada, I: The hybrid steepest-descent method for variational inequality problems over the intersection of the fixed point sets of nonexpansive mappings.. In: Butnariu, D, Censor, Y, Rei[r] ...
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Design of broadband beamformers with low complexity
... For the coefficients of beamformers, it is advantageous to express each one as the sum of signed power-of-two terms. In general, we hope to use less wordlength and less SPT terms to obtain a satisfying performance when ...
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A general composite iterative method for strictly pseudocontractive mappings in Hilbert spaces
... In this paper, motivated and inspired by the above-mentioned results, we will combine Xu’s method (.) with Tian’s method (.) for a k-strictly pseudocontractive mapping T for some ≤ k < and ...
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Steepest descent for generalised and regularised solution of linear operator equations
... The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item.. Where records identify the[r] ...
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Analysis of Effort Constraint Algorithm in Active Noise Control Systems
... Adaptive algorithms are widely used for feed-forward con- trol systems, in which the mean-square error is minimized using the method of steepest descent, with no constraint on the magnitude of the ...
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A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
... sufficient descent condition is very important to the global convergence of the nonlinear conjugate gradient ...gradient method may not be a descent ...gradient method has the sufficient ...
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