Results 121 to 130 of about 13,755 (295)

New CG Method for Large-Scale Unconstrained Optimization Based on Nazareth theorem [PDF]

, 2008
Khalil K. Abbo
openalex   +1 more source

A unipolar head gradient for high‐field MRI without encoding ambiguity

Magnetic Resonance in Medicine, EarlyView.
Abstract Purpose MRI gradients with a conventional, bipolar design generally face a trade‐off among performance, encoding ambiguity, and radiofrequency selectivity used to circumvent said ambiguity. This problem is particularly limiting in cutting‐edge brain imaging performed at field strengths ≥ 7 T and using high‐performance head gradients.
Markus Weiger, Johan Overweg, Franciszek Hennel, Emily Louise Baadsvik, Samuel Bianchi, Oskar Björkqvist, Roger Luechinger, Jens Metzger, Eric Seth Michael, Thomas Schmid, Lauro Singenberger, Urs Sturzenegger, Erik Oskam, Gerrit Vissers, Jos Koonen, Wout Schuth, Jeroen Koeleman, Martino Borgo, Klaas Paul Pruessmann   +18 more
wiley   +1 more source

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

A Flexible Approach for Fat‐Water Separation With Bipolar Readouts and Correction of Gradient‐Induced Phase and Amplitude Effects

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a fat‐water separation approach that corrects bipolar readout gradient‐induced effects without additional scans and is compatible with any fat‐water separation method. Theory and Methods The proposed approach combines joint fat‐water separation of the odd and even echoes of a bipolar multi‐echo gradient echo acquisition with
Jorge Campos Pazmiño, Renée‐Claude Bider, Véronique Fortier, Ives R. Levesque   +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

A new two-step gradient-type method for large-scale unconstrained optimization [PDF]

, 2010
Mahboubeh Farid, Wah June Leong, Malik Abu Hassan   +2 more
openalex   +1 more source

A Novel Autoencoder Variant for Predicting 3D Printing Parameters From Geometric and Consumption Constraints

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In recent years, the field of 3D printing has heavily relied on expert knowledge and complex trial‐and‐error procedures to determine appropriate printing parameters that meet desired consumption specifications. This study introduces a novel method for predicting 10 printing parameters based on 7 geometric features and 3 target consumption ...
Nguyen Dong Phuong, Nguyen Trung Tuyen, S. S. Nanthakumar, Hui Chen, Xiaoying Zhuang   +4 more
wiley   +1 more source

Adaptive cuckoo search algorithm for unconstrained optimization. [PDF]

ScientificWorldJournal, 2014
Ong P.
europepmc   +1 more source

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

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