Results 141 to 150 of about 111,305 (313)

A modified nonmonotone BFGS algorithm for unconstrained optimization. [PDF]

J Inequal Appl, 2017
Li X, Wang B, Hu W.
europepmc   +1 more source

Memoryless Modified Symmetric Rank-One Method for Large-Scale Unconstrained Optimization [PDF]

, 2009
Modarres
openalex   +1 more source

Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach

Boreas, EarlyView.
Morphometric values of streamlined subglacial bedforms provide valuable information about the relative speed, direction, and maturity of past ice streams. This paper presents a new tool that utilizes a machine learning approach to automatically identify glacially derived streamlined features.
Ellianna Abrahams, Marion McKenzie, Fernando Pérez, Ryan Venturelli   +3 more
wiley   +1 more source

A conjugate gradient algorithm for large-scale unconstrained optimization problems and nonlinear equations. [PDF]

J Inequal Appl, 2018
Yuan G, Hu W.
europepmc   +1 more source

Optimum Design Using Radial Basis Function Network and Adaptive Range Genetic Algorithms. 1st Report. Consideration in Unconstrained Optimization.

, 2001
Masaaki Arakawa, Hirotaka NAKAYAMA, Hiroshi ISHIKAWA   +2 more
openalex   +2 more sources

A Modified Super Convergent Line Series Algorithm for Solving Unconstrained Optimization Problems [PDF]

, 2010
Mfoniso Umoren, Idorenyin Etukudo
openalex   +1 more source

Multiphysics Simulation Methods in Computer Graphics

Computer Graphics Forum, EarlyView.
Abstract Physics simulation is a cornerstone of many computer graphics applications, ranging from video games and virtual reality to visual effects and computational design. The number of techniques for physically‐based modeling and animation has thus skyrocketed over the past few decades, facilitating the simulation of a wide variety of materials and ...
Daniel Holz, Stefan Rhys Jeske, Fabian Löschner, Jan Bender, Yin Yang, Sheldon Andrews   +5 more
wiley   +1 more source

Survey on Modeling of Human‐made Articulated Objects

Computer Graphics Forum, EarlyView.
Abstract 3D modeling of articulated objects is a research problem within computer vision, graphics, and robotics. Its objective is to understand the shape and motion of the articulated components, represent the geometry and mobility of object parts, and create realistic models that reflect articulated objects in the real world.
Jiayi Liu, Manolis Savva, Ali Mahdavi‐Amiri   +2 more
wiley   +1 more source

Adaptive cuckoo search algorithm for unconstrained optimization. [PDF]

ScientificWorldJournal, 2014
Ong P.
europepmc   +1 more source

A rank-one fitting algorithm for unconstrained optimization problems

, 2004
Yifan Xu, Chunli Liu, June Dong
openalex   +1 more source