Results 231 to 240 of about 678,745 (265)

A direct search quasi-Newton method for nonsmooth unconstrained optimization

ANZIAM Journal, 2017
A direct search quasi-Newton algorithm is presented for local minimization of Lipschitz continuous black-box functions. The method estimates the gradient via central differences using a maximal frame around each iterate. When nonsmoothness prevents progress, a global direction search is used to locate a descent direction.
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Direct search computational methods for maximum likelihood parameter estimation

1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes, 1978
Though the theory of the maximum likelihood method for parameter estimation in dynamic systems is well developed, its application to complex systems has been limited by the unavailability of fast and reliable computational algorithms to maximize the likelihood function. Gradient-based algorithms have been mostly used for this purpose until now.
openaire   +1 more source

Molecular imaging in oncology: Current impact and future directions

Ca-A Cancer Journal for Clinicians, 2022
Steven P Rowe, Martin G Pomper
exaly  

Radiotheranostics in oncology: Making precision medicine possible

Ca-A Cancer Journal for Clinicians, 2023
Eric Aboagye
exaly  

Enhancing global access to cancer medicines

Ca-A Cancer Journal for Clinicians, 2020
Javier Cortes, Giuseppe Curigliano, Nagi S El Saghir   +2 more
exaly  

Chapter 7: Direct Search Methods

2022
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Direct search optimization method

Computer-Aided Design, 1974
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Closure to “Direct Search Optimization Method”

Journal of the Structural Division, 1974
Ying-San Lai, Jan D. Achenbach
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MicroRNAome genome: A treasure for cancer diagnosis and therapy

Ca-A Cancer Journal for Clinicians, 2014
Ioana Berindan-Neagoe, Barbara Pasculli, George A Calin   +2 more
exaly  

Direct Search Methods

2018
openaire   +1 more source