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Refinado por: assunto: Métodos Numéricos remover
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1
The physical origins of low-mass spin bias
The physical origins of low-mass spin bias
Material Type:
Artigo 		Adicionar ao Meu Espaço

The physical origins of low-mass spin bias

Beatriz Tucci Schiewaldt Antonio D. Montero Dorta; L. Raul Abramo; Gabriela Sato-Polito; María Celeste Artale

Monthly Notices of the Royal Astronomical Society Oxford: Oxford University Press (OUP), 2021 v. 500, n 3, p. 2777-2785, janeiro de 2021

Oxford 2021

Item não circula. Consulte sua biblioteca.(Acessar)

2
Performance analysis of path planning techniques based on potential fields
Performance analysis of path planning techniques based on potential fields
Material Type:
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Performance analysis of path planning techniques based on potential fields

Marcelo Oliveira da Silva Willian Constâncio da Silva; Roseli Aparecida Francelin Romero; Latin American Robotics Symposium and Intelligent Robotics Meeting - LARS (2010 São Bernando do Campo, Brazil)

Proceedings Los Alamitos : IEEE, 2010

Los Alamitos IEEE 2010

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3005466 )(Acessar)

3
Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction
Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction
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Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction

Elias Salomão Helou Marcelo Victor Wüst Zibetti; Gabor T Herman

Sensing and Imaging New York : Springer v. 21, p. 1-31, 2020

New York 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3006617 )(Acessar)

4
On the best achievable quality of limit points of augmented Lagrangian schemes
On the best achievable quality of limit points of augmented Lagrangian schemes
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On the best achievable quality of limit points of augmented Lagrangian schemes

Roberto Andreani Gabriel Haeser; Leonardo Mito; Alberto Ramos; Leornardo Delarmelina Secchin

Numerical Algorithms New York v. 90, n. 2, p. 851-877, 2022

New York 2022

Localização: IME - Inst. Matemática e Estatística    (PROD-3054164 )(Acessar)

5
Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients
Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients
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Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients

Ernesto Julian Goldberg Birgin José Mário Martínez

Computational Optimization and Applications Dordrecht v. 81, p. 689–715, 2022

Dordrecht 2022

Localização: IME - Inst. Matemática e Estatística    (PROD-3072679 )(Acessar)

6
Block coordinate descent for smooth nonconvex constrained minimization
Block coordinate descent for smooth nonconvex constrained minimization
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Block coordinate descent for smooth nonconvex constrained minimization

Ernesto Julian Goldberg Birgin José Mário Martínez

Computational Optimization and Applications Dordrecht v. 83, p. 1-27, 2022

Dordrecht 2022

Localização: IME - Inst. Matemática e Estatística    (PROD-3119209 )(Acessar)

7
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees
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On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees

Roberto Andreani Gabriel Haeser; María Laura Schuverdt; Leornardo Delarmelina Secchin; Paulo José Silva e Silva

Mathematical Programming Computation Heidelberg v. 14, n. 1, p. 121-146, 2022

Heidelberg 2022

Localização: IME - Inst. Matemática e Estatística    (PROD-3044191 )(Acessar)

8
Numerical and experimental investigation of the stability of a drop in a single-axis acoustic levitator
Numerical and experimental investigation of the stability of a drop in a single-axis acoustic levitator
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Numerical and experimental investigation of the stability of a drop in a single-axis acoustic levitator

Marco Aurélio Brizzotti Andrade Asier Marzo

Physics of Fluids Maryland: AIP Publishing, 2019 v. 31, n. 11, nov. 2019, p. 117101(01-12)

Maryland 2019

Item não circula. Consulte sua biblioteca.(Acessar)

9
On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization
On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization
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On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization

V. S. Amaral Roberto Andreani; Ernesto Julian Goldberg Birgin; Diaulas Murize Santana Vieira Marcondes; José Mário Martínez

Journal of Global Optimization Dordrecht v. 84, p. 527-561, 2022

Dordrecht 2022

Localização: IME - Inst. Matemática e Estatística    (PROD-3119115 )(Acessar)

10
Nonmonotone projected gradient methods based on barrier and Euclidean distances
Nonmonotone projected gradient methods based on barrier and Euclidean distances
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Nonmonotone projected gradient methods based on barrier and Euclidean distances

Alfred Auslender Paulo J. S Silva; Marc Teboulle

Computational Optimization and Applications New York v. 38, n. 3, p. 305-327, 2007

New York 2007

Localização: IME - Inst. Matemática e Estatística    (PROD-3185244 )(Acessar)

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Deste Autor:

  1. Andreani, R
  2. Birgin, E
  3. Martínez, J
  4. Andrade, M
  5. Haeser, G

Neste Assunto:

  1. Métodos Numéricos
  2. Métodos Numéricos
  3. Numerical Methods
  4. Numeric Methods
  5. Programação Matemática

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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