Method of steepest descent
Modelling of LFM Spectrum as Rectangle using Steepest Descent Method
... the method of steepest descent which is an advanced technique in Fourier ...This method is useful in evaluating the integrals which will be having highly oscillatory integrands; therefore this ...
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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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A Generalized Hybrid Steepest-Descent Method for Variational Inequalities in Banach Spaces
... hybrid steepest-descent method introduced by Yamada 2001 is an algorithmic solution to the variational inequality problem over the fixed point set of nonlinear mapping and applicable to a broad range ...
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The hybrid steepest descent method for solutions of equilibrium problems and other problems in fixed point theory
... hybrid steepest descent method and prove the strong convergence to a common element of the equilibrium problem; the null space of an inverse strongly monotone operator; the set of fixed points of a ...
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Efficient implementation of a modified and relaxed hybrid steepest descent method for a type of variational inequality
... hybrid steepest-descent method for solving VI(F, K) [7,8], but choosing an efficient and implementable nonexpansive mapping is still a difficult ...hybrid steepest-descent method ...
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A relaxed hybrid steepest descent method for common solutions of generalized mixed equilibrium problems and fixed point problems
... hybrid steepest descent method for finding a com- mon element of the set of solutions of generalized mixed equilibrium problems, the set of fixed points of a nonexpansive mapping and the set of ...
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A viscosity hybrid steepest descent method for a system of equilibrium and fixed point problems for an infinite family of strictly pseudo contractive mappings
... hybrid steepest-descent method, in this paper, we introduce an iterative scheme for finding a common element of a system of equilibrium and fixed point problems of an infinite family of strictly ...
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Mann type hybrid steepest descent method for three nonlinear problems
... the setting of the infinite-dimensional Hilbert space. The iterative algorithm is based on Korpelevich’s extragradient method, the viscosity approximation method [], Mann’s it- eration method, and ...
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Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
... We study the strong convergence of a hybrid steepest descent method with variable pa- rameters for the general variational inequality GVI(F ,g ,C). Consequently, as an applica- tion, we obtain some ...
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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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The hybrid steepest descent method for solving variational inequality over triple hierarchical problems
... 3. Yao, JC, Chadli, O: Pseudomonotone complementarity problems and variational inequalities. In: Crouzeix, JP, Haddjissas, N, Schaible, S (eds.) Handbook of Generalized Convexity and Monotonicity, pp. 501-558 (2005) 4. ...
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Optimal Control of Microgrid Networks Using Gradient Descent and Differential Evolution Methods
... gradient method, which is also known as the method of steepest ...the steepest-descent method. It is obvious that steepest-descent algorithms can be applied only to ...
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An Improved Gauss Newtons Method based Back propagation Algorithm for Fast Convergence
... The steepest descent back-propagation (SDBP) is used in several applications despite its asymptotic slow convergence rate ...gradient method. The slow convergence rate of steepest ...
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On the convergence speed of artificial neural networks in the solving of linear systems
... perceptron method based on artificial neural networks which has been applied for solving a non-singular system of lin- ear ...the steepest descent and quasi-Newton methods are employed to adjust ...
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An Iterative Algorithm for Generalized Mixed Equilibria with Variational Inequalities
... hybrid steepest- descent method for finding a common element of the set of solutions of a finite family of generalized mixed equilibrium problems, the set of solutions of a finite family of ...
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Finite Step Relaxed Hybrid Steepest Descent Methods for Variational Inequalities
... hybrid steepest-descent method for this class of variational inequalities was ...this method was established under suitable assumptions imposed on the algorithm ...
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A general composite iterative method for strictly pseudocontractive mappings in Hilbert spaces
... On the another hand, in , by combining Yamada’s hybrid steepest-descent method (.) with Marino and Xu’s method (.), Jung [] considered the following explicit iterative scheme for ...
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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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An Algorithm for Solving Triple Hierarchical Pseudomonotone Variational Inequalities
... hybrid steepest-descent extragradient algo- rithm for solving triple hierarchical pseudomonotone vari- ational inequalities, which will be defined in Section ...tragradient method (see [28]), Mann’s ...
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Strong convergence of relaxed hybrid steepest-descent methods for triple hierarchical constrained optimization
... 2. Yamada, I: The hybrid steepest-descent method for the variational inequality problem over the intersection of fixed- point sets of nonexpansive mappings. In: Butnariu, D, Censor, Y, Reich, S ...
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