Results 71 to 80 of about 625 (264)
Journal of Numerical Analysis and Approximation Theory, 2023 Book review for: Gabriele Ciaramella, Martin J. Gander, Iterative Methods and Preconditioners for Systems of Linear Equations, SIAM, Philadelphia, 2022, X + 275 pp., ISBN 978-1-611976-89-2 (paperback), ISBN 978-1-61197-690-8 (ebook).
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Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
The Preconditioned SOR Iterative Method for Positive Definite Matrices
Journal of Applied Mathematics, 2013 We present several iterations for preconditioners introduced by Tarazaga and Cuellar (2009), and study the convergence of the method for solving a linear system whose coefficient matrix is positive definite matrices, and we also find that they complete ...
Yu-Qin Bai, Yan-Ping Xiao, Wei-Yuan Ma
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A Numerical Study of Scalable Cardiac Electro-Mechanical Solvers on HPC Architectures
Frontiers in Physiology, 2018 We introduce and study some scalable domain decomposition preconditioners for cardiac electro-mechanical 3D simulations on parallel HPC (High Performance Computing) architectures.
Piero Colli Franzone +2 more
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Generalized Structure Preserving Preconditioners for Frame-Based Image Deblurring
Mathematics, 2020 We are interested in fast and stable iterative regularization methods for image deblurring problems with space invariant blur. The associated coefficient matrix has a Block Toeplitz Toeplitz Blocks (BTTB) like structure plus a small rank correction ...
Davide Bianchi, Alessandro Buccini
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Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Preconditioned Dirichlet-Dirichlet Methods for Optimal Control of Elliptic PDE
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2018 The discretization of optimal control of elliptic partial differential equations problems yields optimality conditions in the form of large sparse linear systems with block structure. Correspondingly, when the solution method is a Dirichlet-Dirichlet non-
Loghin Daniel
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A Whole‐Head Finite Element Model for Electrical Neuromodulation via Visual Brain‐Machine Interfaces
Advanced Science, EarlyView.A multimodal, personalized head model is presented that integrates the entire visual pathway with surrounding tissues to simulate electrical stimulation of the optic nerve. In vivo validation in humans and goats, plus systematic component‐elimination analysis, demonstrates the high accuracy of the comprehensive model.
Shengjian Lu +12 more
wiley +1 more source
Performance of relaxed iterative methods for image deblurring problems
Journal of Algorithms & Computational Technology, 2019 In this paper, we consider performance of relaxation iterative methods for four types of image deblurring problems with different regularization terms.
Jae H Yun
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Advanced Science, EarlyView.This study establishes [68Ga]Ga‐DOTA‐AP9 as a first‐in‐human CD147‐targeted PET tracer with favorable safety and specific tumor uptake. Tracer accumulation correlates with CD147 expression in patients, enabling noninvasive quantification of CD147‐positive malignancies.
Xiaokun Ma +10 more
wiley +1 more source