Results 1 to 10 of about 19,819 (147)
Comparison Between Steepest Descent Method and Conjugate Gradient Method by Using Matlab
Journal of Studies in Science and Engineering, 2021 The Steepest descent method and the Conjugate gradient method to minimize nonlinear functions have been studied in this work. Algorithms are presented and implemented in Matlab software for both methods.
Dana Taha Mohammed Salih +1 more
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A new conjugate gradient method for acceleration of gradient descent algorithms
Moroccan Journal of Pure and Applied Analysis, 2021 An accelerated of the steepest descent method for solving unconstrained optimization problems is presented. which propose a fundamentally different conjugate gradient method, in which the well-known parameter βk is computed by an new formula.
Rahali Noureddine +2 more
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Hessian with Mini-Batches for Electrical Demand Prediction
Applied Sciences, 2020 The steepest descent method is frequently used for neural network tuning. Mini-batches are commonly used to get better tuning of the steepest descent in the neural network.
Israel Elias +9 more
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Accelerated Conjugate Gradient for Second-Order Blind Signal Separation
Acoustics, 2022 This paper proposes a new adaptive algorithm for the second-order blind signal separation (BSS) problem with convolutive mixtures by utilising a combination of an accelerated gradient and a conjugate gradient method.
Hai Huyen Dam, Sven Nordholm
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Using Frames in Steepest Descent-Based Iteration Method for Solving Operator Equations [PDF]
Sahand Communications in Mathematical Analysis, 2021 In this paper, by using the concept of frames, two iterative methods are constructed to solve the operator equation $ Lu=f $ where $ L:H\rightarrow H $ is a bounded, invertible and self-adjoint linear operator on a separable Hilbert space $ H $.
Hassan Jamali, Mohsen Kolahdouz
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Energy Reports, 2023 This paper addresses the position-estimation deviation issue of the sensorless drive method and a new algorithm for estimating position correction of surface-mounted permanent magnet synchronous motor (SPMSM) is proposed.
Yiming Wang +5 more
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METODE NUMERIK STEPEST DESCENT DENGAN DIRECTION DAN NORMRERATA ARITMATIKA
Aksioma: Jurnal Program Studi Pendidikan Matematika, 2017 This research is investigating ofSteepest Descent numerical method with direction and norm arithmetic mean. This research is begin with try to understand what Steepest Descent Numerical is and its algorithm.
Rukmono Budi Utomo
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The Steepest Descent Method Using the Empirical Mode Gradient Decomposition
Proceedings of the International Conference on Applied Innovations in IT, 2020 The aim of the article is to study the possibility of improving gradient optimization methods. The leading approach to the chosen concept is based on the possibility of a featured description of the gradient that sets the direction of the search for a ...
Vasiliy Esaulov, Roman Sinetsky
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Mathematics, 2018 In this paper, three-step Taylor expansion, which is equivalent to third-order Taylor expansion, is used as a mathematical base of the new descent method. At each iteration of this method, three steps are performed.
Mina Torabi, Mohammad-Mehdi Hosseini
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Journal of Mathematical and Fundamental Sciences, 2013 The problem of output regulation of affine nonlinear systems with the relative degree not well defined by modified steepest descent control is studied.
Janson Naiborhu
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