Neculai Andrei

36 papers Journal 32Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Towards Scalable Multi-View Reconstruction of Geometry and Materials.
CoRR
Carolin Schmitt, Bozidar Antic, Neculai Andrei, Joo Ho Lee, Andreas Geiger
2023 J jnl
Towards Scalable Multi-View Reconstruction of Geometry and Materials.
IEEE Trans. Pattern Anal. Mach. Intell.
Carolin Schmitt, Bozidar Antic, Neculai Andrei, Joo Ho Lee, Andreas Geiger
2022 J jnl
A note on memory-less SR1 and memory-less BFGS methods for large-scale unconstrained optimization.
Numer. Algorithms
Neculai Andrei
2022 — conf
Probabilistic Compositional Embeddings for Multimodal Image Retrieval.
CVPR Workshops
Neculai Andrei, Yanbei Chen, Zeynep Akata
2022 J jnl
Probabilistic Compositional Embeddings for Multimodal Image Retrieval.
CoRR
Neculai Andrei, Yanbei Chen, Zeynep Akata
2020 J jnl
A double parameter self-scaling memoryless BFGS method for unconstrained optimization.
Comput. Appl. Math.
Neculai Andrei
2020 J jnl
Diagonal Approximation of the Hessian by Finite Differences for Unconstrained Optimization.
J. Optim. Theory Appl.
Neculai Andrei
2019 J jnl
A diagonal quasi-Newton updating method for unconstrained optimization.
Numer. Algorithms
Neculai Andrei
2018 J jnl
A Dai-Liao conjugate gradient algorithm with clustering of eigenvalues.
Numer. Algorithms
Neculai Andrei
2018 J jnl
A Double-Parameter Scaling Broyden-Fletcher-Goldfarb-Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization.
J. Optim. Theory Appl.
Neculai Andrei
2018 J jnl
A double parameter scaled BFGS method for unconstrained optimization.
J. Comput. Appl. Math.
Neculai Andrei
2018 J jnl
An adaptive scaled BFGS method for unconstrained optimization.
Numer. Algorithms
Neculai Andrei
2017 J jnl
Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update.
J. Comput. Appl. Math.
Neculai Andrei
2017 J jnl
Eigenvalues versus singular values study in conjugate gradient algorithms for large-scale unconstrained optimization.
Optim. Methods Softw.
Neculai Andrei
2016 J jnl
An adaptive conjugate gradient algorithm for large-scale unconstrained optimization.
J. Comput. Appl. Math.
Neculai Andrei
2015 J jnl
A new three-term conjugate gradient algorithm for unconstrained optimization.
Numer. Algorithms
Neculai Andrei
2014 J jnl
An accelerated subspace minimization three-term conjugate gradient algorithm for unconstrained optimization.
Numer. Algorithms
Neculai Andrei
2013 J jnl
A simple three-term conjugate gradient algorithm for unconstrained optimization.
J. Comput. Appl. Math.
Neculai Andrei
2013 J jnl
Another Conjugate Gradient Algorithm with Guaranteed Descent and Conjugacy Conditions for Large-scale Unconstrained Optimization.
J. Optim. Theory Appl.
Neculai Andrei
2013 J jnl
On three-term conjugate gradient algorithms for unconstrained optimization.
Appl. Math. Comput.
Neculai Andrei
2012 J jnl
An accelerated conjugate gradient algorithm with guaranteed descent and conjugacy conditions for unconstrained optimization.
Optim. Methods Softw.
Neculai Andrei
2010 J jnl
Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization.
Numer. Algorithms
Neculai Andrei
2010 J jnl
Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Eur. J. Oper. Res.
Neculai Andrei
2010 J jnl
New accelerated conjugate gradient algorithms as a modification of Dai-Yuan's computational scheme for unconstrained optimization.
J. Comput. Appl. Math.
Neculai Andrei
2009 J jnl
Acceleration of conjugate gradient algorithms for unconstrained optimization.
Appl. Math. Comput.
Neculai Andrei
2009 J jnl
Another nonlinear conjugate gradient algorithm for unconstrained optimization.
Optim. Methods Softw.
Neculai Andrei
2009 — ch.
New Hybrid Conjugate Gradient Algorithms for Unconstrained Optimization.
Encyclopedia of Optimization
Neculai Andrei
2009 — ch.
Performance Profiles of Conjugate-Gradient Algorithms for Unconstrained Optimization.
Encyclopedia of Optimization
Neculai Andrei
2008 J jnl
A Dai-Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstrained optimization.
Appl. Math. Lett.
Neculai Andrei
2008 J jnl
Another hybrid conjugate gradient algorithm for unconstrained optimization.
Numer. Algorithms
Neculai Andrei
2007 J jnl
A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Appl. Math. Lett.
Neculai Andrei
2007 J jnl
Scaled conjugate gradient algorithms for unconstrained optimization.
Comput. Optim. Appl.
Neculai Andrei
2007 J jnl
Scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Optim. Methods Softw.
Neculai Andrei
2006 J jnl
An acceleration of gradient descent algorithm with backtracking for unconstrained optimization.
Numer. Algorithms
Neculai Andrei
1994 J jnl
Introduction.
Comput. Optim. Appl.
Neculai Andrei
1985 — —
Sparse systems: digraph approach of large-scale linear systems theory.
Neculai Andrei
redb/extractors/macho_extractors/__init__.py
← Index redb/extractors/macho_extractors/__init__.py python 
# MachO extractors package

from .macho_features import MachOFeaturesExtractor
from .macho_segments import MachOSegmentExtractor
from .macho_imports import MachOImportExtractor
from .macho_exports import MachOExportExtractor
from .macho_dylibs import MachODylibExtractor
from .macho_signature import MachOSignatureExtractor
from .macho_similarity_hashes import MachOSimilarityHashExtractor
# MachOUniversalExtractor is deprecated - FAT binary relationships are now
# tracked via parent_sha256 column in redb_basic_properties
# from .macho_universal import MachOUniversalExtractor

__all__ = [
    'MachOFeaturesExtractor',
    'MachOSegmentExtractor',
    'MachOImportExtractor',
    'MachOExportExtractor',
    'MachODylibExtractor',
    'MachOSignatureExtractor',
    'MachOSimilarityHashExtractor',
    # 'MachOUniversalExtractor',  # Deprecated
]