Search Results - Generalized projective gradient descent algorithm*

Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization.

Authors: Qiao, Jinghui Qiao, Jiayu Gao, Peng et al.

Source: Information Sciences. Feb2025, Vol. 690, pN.PAG-N.PAG. 1p.

Subject Terms: PROBABILITY density function, FUZZY systems, MEMBERSHIP functions (Fuzzy logic), MAGNETIC separation, IRON ores

Optimality Conditions and Gradient Descent Newton Pursuit for 0/1-Loss and Sparsity Constrained Optimization.

Authors: Wang, Dongrui Zhang, Hui Zhang, Penghe et al.

Source: Asia-Pacific Journal of Operational Research; Oct2024, Vol. 41 Issue 5, p1-34, 34p

Subject Terms: COMPRESSED sensing, GLOBAL optimization, ALGORITHMS

Nesterov Accelerated Gradient Descent for Optimizing Fast Harmonic Mean Linear Discriminant Analysis.

Authors: Sreedharan, Sritha Nadarajan, Ranjith

Source: Ingénierie des Systèmes d'Information; Feb2024, Vol. 29 Issue 1, p355-367, 13p

Subject Terms: FISHER discriminant analysis, TIME complexity, TAYLOR'S series, MATRIX multiplications, CONVEX functions

Geographic Terms: BARCELONA (Spain)

Projected Gradient Descent Method for Tropical Principal Component Analysis over Tree Space.

Authors: Yoshida, Ruriko

Source: Mathematics (2227-7390); Jun2025, Vol. 13 Issue 11, p1776, 12p

Subject Terms: MARKOV chain Monte Carlo, NON-Euclidean geometry, PRINCIPAL components analysis, APICOMPLEXA, GEOMETRY

Convergence Analysis and Application for Multi‐Layer Neural Network Based on Fractional‐Order Gradient Descent Learning.

Authors: Zhao, Shuai Fan, Qinwei Dong, Qingmei

Source: Advanced Theory & Simulations; Feb2024, Vol. 7 Issue 2, p1-12, 12p

Subject Terms: FEEDFORWARD neural networks, ERROR functions, FRACTIONAL calculus, SYSTEM identification

Quantum algorithms for the generalized eigenvalue problem.

Authors: Liang, Jin-Min Shen, Shu-Qian Li, Ming et al.

Source: Quantum Information Processing; Jan2022, Vol. 21 Issue 1, p1-22, 22p

Subject Terms: RAYLEIGH quotient, EIGENVALUES, RANDOM noise theory, ALGORITHMS, MACHINE learning, MATRIX pencils, EIGENVECTORS

Stochastic Orthogonal Regularization for deep projective priors

Authors: Joundi, Ali Traonmilin, Yann Newson, Alasdair

Subject Terms: FOS: Computer and information sciences, Optimization and Control (math.OC), Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Electrical Engineering and Systems Science - Image and Video Processing, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2505.13078

Stochastic projective splitting.

Authors: Johnstone, Patrick R. Eckstein, Jonathan Flynn, Thomas et al.

Source: Computational Optimization & Applications; Mar2024, Vol. 87 Issue 2, p397-437, 41p

Subject Terms: MONOTONE operators, LOGISTIC regression analysis, MACHINE learning

Second-order Stencil Descent for Interior-point Hyperelasticity.

Authors: Lan, Lei Li, Minchen Jiang, Chenfanfu et al.

Source: ACM Transactions on Graphics; Aug2023, Vol. 42 Issue 4, p1-16, 16p

Subject Terms: INTERIOR-point methods, DOMAIN decomposition methods, NEWTON-Raphson method, STENCIL work, QUASIMOLECULES, LINEAR systems

Fast Gradient Method for Low-Rank Matrix Estimation.

Authors: Li, Hongyi Peng, Zhen Pan, Chengwei et al.

Source: Journal of Scientific Computing; Aug2023, Vol. 96 Issue 2, p1-35, 35p

A Human–Robot Skill Transfer Strategy with Task-Constrained Optimization and Real-Time Whole-Body Adaptation.

Authors: Ding, Guanwen Zang, Xizhe Zhang, Xuehe et al.

Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 6, p3171, 36p

Subject Terms: ROBOT motion, CONSTRAINED optimization, DYNAMICAL systems, ADAPTIVE control systems, RANGE of motion of joints

Unmixing of large-scale hyperspectral data based on projected mini-batch gradient descent.

Authors: Li, Jing Li, Xiaorun Zhao, Liaoying

Source: International Journal of Wavelets, Multiresolution & Information Processing; Nov2017, Vol. 15 Issue 6, p-1, 15p

Subject Terms: HYPERSPECTRAL imaging systems, NONNEGATIVE matrices, FACTORIZATION, COMPUTATIONAL complexity, PIXELS, PROBLEM solving

Pan-Logical Probabilistic Algorithms Based on Convolutional Neural Networks.

Authors: Liu, Fangrong

Source: Computational Intelligence & Neuroscience; 8/10/2022, p1-11, 11p

Subject Terms: CONVOLUTIONAL neural networks, MATHEMATICAL logic, ALGORITHMS

Highly resistant gradient descent algorithm for computing intrinsic mean shape on similarity shape spaces.

Authors: Fotouhi, H. Golalizadeh, M.

Source: Statistical Papers; May2015, Vol. 56 Issue 2, p391-410, 20p

Subject Terms: ALGORITHMS, STOCHASTIC convergence, SIMULATION methods & models, PYTHAGOREAN theorem, MATHEMATICAL optimization

A Generalized Projective Reconstruction Theorem and Depth Constraints for Projective Factorization.

Authors: Nasihatkon, Behrooz Hartley, Richard Trumpf, Jochen

Source: International Journal of Computer Vision; Nov2015, Vol. 115 Issue 2, p87-114, 28p, 10 Black and White Photographs, 1 Diagram, 2 Charts, 3 Graphs

Subject Terms: ALGORITHMS, MATHEMATICS theorems, MATHEMATICS, CAMERAS, IMAGING systems

A backward SDE method for uncertainty quantification in deep learning.

Authors: Archibald, Richard Bao, Feng Cao, Yanzhao et al.

Source: Discrete & Continuous Dynamical Systems - Series S; Oct2022, Vol. 15 Issue 10, p2807-2835, 29p

Subject Terms: DEEP learning, STOCHASTIC control theory, STOCHASTIC analysis, STOCHASTIC convergence, MACHINE learning, STOCHASTIC differential equations, PREDICATE calculus

ON THE CONVERGENCE OF GRADIENT DESCENT FOR FINDING THE RIEMANNIAN CENTER OF MASS.

Authors: AFSARI, BIJAN TRON, ROBERTO VIDAL, RENÉ

Source: SIAM Journal on Control & Optimization; 2013, Vol. 51 Issue 3, p2230-2260, 31p

Subject Terms: CENTER of mass, RIEMANNIAN manifolds, STOCHASTIC convergence, ALGORITHMS, TOPOLOGY

Energy-adaptive Riemannian optimization on the Stiefel manifold.

Authors: Altmann, Robert Peterseim, Daniel Stykel, Tatjana

Source: ESAIM: Mathematical Modelling & Numerical Analysis (ESAIM: M2AN); Sep/Oct2022, Vol. 56 Issue 5, p1629-1653, 25p

Subject Terms: COMPUTATIONAL physics, GROSS-Pitaevskii equations, NONLINEAR equations, COMPUTATIONAL chemistry, THRESHOLD energy, CONJUGATE gradient methods

Application of Orthogonal Polynomial in Orthogonal Projection of Algebraic Surface.

Authors: Wang, Xudong Li, Xiaowu Lyu, Yuxia

Source: Axioms (2075-1680); Oct2022, Vol. 11 Issue 10, pN.PAG-N.PAG, 22p

Subject Terms: ALGEBRAIC surfaces, NEWTON-Raphson method, ORTHOGRAPHIC projection, ORTHOGONAL polynomials, COMPUTER-aided design

Wasserstein Proximal Algorithms for the Schrödinger Bridge Problem: Density Control With Nonlinear Drift.

Authors: Caluya, Kenneth F. Halder, Abhishek

Source: IEEE Transactions on Automatic Control; Mar2022, Vol. 67 Issue 3, p1163-1178, 16p

Subject Terms: STOCHASTIC control theory, PROBABILITY density function, INITIAL value problems, PARTIAL differential equations, VECTOR fields, DIFFERENTIAL evolution