Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Zhen Lei, Ting L. Lei

“…We verify that the autograd version of the algorithm is equivalent to the original version with manually derived gradients. By automating the (sub)gradient computation, we significantly lower the cost of developing a Lagrangian algorithm for the <i>p</i>-median. …”
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Gradient Flow Decoding by Tadashi Wadayama, Lantian Wei

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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…The single image super-resolution (SISR) is a classical problem in the field of computer vision, aiming to enhance high-resolution details from low-resolution images. …”
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On-the-fly path planning for the design of compositional gradients in high dimensions by Samuel Price, Zhaoxi Cao, Ian McCue

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Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing by Prashanth Choppara, S. Sudheer Mangalampalli

Subjects: “…Fog computing…”
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Improvement of Whitson algorithm for chemical/gravity equilibrium calculations to compute compositional gradient in petroleum reservoirs by Mohammad Hossein Sedaghat, Ahmad Daliri, Hossein Mohammadi

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COMPUTER TECHNOLOGIES IN LINE STRUCTURE ROUTING by V. I. Struchenkov

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Improved Dai–Liao Conjugate Gradient Methods for Large-Scale Unconstrained Optimization by Basim A. Hassan, Alaa Luqman Ibrahim, abd elhamid mehamdia

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Local ligand concentration gradients induced by the plasma membrane by Ágnes Szabó, Gabriella Tóth, Tímea Szatmári, Gábor Mocsár, István Rebenku, János Szöllősi, Peter Nagy

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Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer by César Feniou, Muhammad Hassan, Baptiste Claudon, Axel Courtat, Olivier Adjoua, Yvon Maday, Jean-Philip Piquemal

“…We introduce an adaptive algorithm using analytic, gradient-free optimization, called Greedy Gradient-free Adaptive VQE (GGA-VQE). …”
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Gradient boosting-based classification of interactome hub genes in periimplantitis with periodontitis – an integrated bioinformatic approach by Pradeep Kumar Yadalam, Sarvagya Sharma, Prabhu Manickam Natarajan, Carlos M. Ardila

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HG-LGBM: A Hybrid Model for Microbiome-Disease Prediction Based on Heterogeneous Networks and Gradient Boosting by Jun Guo, Chunyan Xu, Ying Liu

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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

Subjects: “…Computational efficiency…”
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Simulation Analysis on Water’s Micro Seepage Laws under Different Pressure Gradients Using Computed Tomography Method by Gang Zhou, Lei Qiu, Wenzheng Zhang, Jiao Xue

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A Gradient Enhanced Efficient Global Optimization-Driven Aerodynamic Shape Optimization Framework by Niyazi Şenol, Hasan U. Akay, Şahin Yiğit

“…The study demonstrates that surrogate-based methods, especially those enriched with gradient information, can effectively match or exceed the performance of gradient-based adjoint methods within reasonable computational costs.…”
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INVESTIGATION OF DYNAMICS OF THE TEMPERATURES GRADIENTS CHANGING IN CASTING AND CHILL MOLD AT ITS FILLING WITH THE HELP OF THE COMPUTER SYSTEM “PROLIT-2” by A. N. Chichko, L. V. Markov, V. F. Sobolev, S. G. Lihouzov, O. I. Chichko

“…The calculations on computer modeling of the process of chill mold filling with different number of castings in mold are presented. …”
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An Elegant Multi-Agent Gradient Descent for Effective Optimization in Neural Network Training and Beyond by Mohammad Sakka, Mohammad Reza Bahrami

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Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping by Erik Engelhardt, Johannes Hoffmann, Moritz Boueke, Lukas Elsner, Marius Leye, Norbert Frey, Gerhard Schmidt

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Enhancing classification efficiency in capsule networks through windowed routing: tackling gradient vanishing, dynamic routing, and computational complexity challenges by Gangqi Chen, Zhaoyong Mao, Junge Shen, Dongdong Hou

“…This prevents saturation and mitigates the gradient vanishing problem. In addition, a novel gradient-friendly network structure is developed to facilitate the extraction of complex features with deeper networks. …”
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Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation by Paola Barra, Riccardo Distasi, Chiara Pero, Stefano Ricciardi, Maurizio Tucci

“…The present work stems from a previous Partitioned Iterated Function Systems‐based approach providing state‐of‐the‐art accuracy with high computing cost, and improve it by means of two regression models, namely Gradient Boosting Regressor and Extreme Gradient Boosting Regressor, achieving much faster response and an even lower mean absolute error on the yaw and roll axis, as shown by experiments conducted on the BIWI and AFLW2000 datasets.…”
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