Results 281 to 290 of about 225,788 (313)
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On the Global Convergence of the Complex HZ Method
SIAM Journal on Matrix Analysis and Applications, 2019The paper considers a Jacobi method for solving the generalized eigenvalue problem Ax = lambda Bx, where A and B are complex Hermitian matrices and B is positive definite. The method is a proper generalization of the standard Jacobi method for the Hermitian matrix A to the matrix pair (A, B).
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Globally Convergent Algorithms for Unconstrained Optimization
Computational Optimization and Applications, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Globalization and Policy Convergence
International Studies Review, 2001An implicit assumption of most policy analysts and some academics is that globalization leads to a convergence of traditionally national policies governing environmental regulation, consumer health and safety, the regulation of labor, and the ability to tax capital.
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Globalization and Economic Convergence
Competition & Change, 1997Convergence among national economies is viewed by a growing number of observers as an inevitable result of increasing global integration of product and financial markets. Yet there is reason to doubt that globalization has yet brought about, or will in the future bring about, the degree of convergence assumed by some.
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Globalization and Policy Convergence
Public Management: An International Journal of Research and Theory, 1999This article examines the use of the system of mutual recognition, harmonization and qualified majority voting in the European Union (EU) and Australia as a means to the greater understanding of the impact of globalization in relation to policy convergence.
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2010
Proving convergence of the various optimization algorithms is a delicate exercise. In general, it is helpful to consider local and global convergence patterns separately. The local convergence rate of an algorithm provides a useful benchmark for comparing it to other algorithms. On this basis, Newton’s method wins hands down. However, the tradeoffs are
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Proving convergence of the various optimization algorithms is a delicate exercise. In general, it is helpful to consider local and global convergence patterns separately. The local convergence rate of an algorithm provides a useful benchmark for comparing it to other algorithms. On this basis, Newton’s method wins hands down. However, the tradeoffs are
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2011
In this final chapter, we prove convergence results for general metric graphs and the associated graph-like manifolds. In particular, we show resolvent convergence, convergence of the discrete and essential spectrum and of resonances.
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In this final chapter, we prove convergence results for general metric graphs and the associated graph-like manifolds. In particular, we show resolvent convergence, convergence of the discrete and essential spectrum and of resonances.
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Production- and consumption-based convergence analyses of global CO2 emissions
Journal of Cleaner Production, 2020Jian Zuo, Zhen Wang
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A modified BFGS method and its global convergence in nonconvex minimization
Journal of Computational and Applied Mathematics, 2001Dong-Hui Li, Masao Fukushima
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Domains of global convergence for Newton’s method from auxiliary points
Applied Mathematics Letters, 2018J A Ezquerro, M A Hernández-Verón
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