Results 31 to 40 of about 7,140,468 (314)

Performance Evaluation of Solid-State Laser Gain Module by Measurement of Thermal Effect and Energy Storage

open access: yesPhotonics, 2021
The optimization of solid-state laser cavities requires a deep understanding of the gain module, the most critical laser component. This study proposes a procedure for evaluating the performance of the solid-state laser gain module.
Daewoong Park   +5 more
doaj   +1 more source

Uniqueness, stability and global convergence for a discrete inverse elliptic Robin transmission problem [PDF]

open access: yesNumerische Mathematik, 2019
We derive a simple criterion that ensures uniqueness, Lipschitz stability and global convergence of Newton’s method for the finite dimensional zero-finding problem of a continuously differentiable, pointwise convex and monotonic function.
B. Harrach
semanticscholar   +1 more source

Globalization, Convergence, and History [PDF]

open access: yesThe Journal of Economic History, 1996
There were three epochs of growth experience after the mid-nineteenth century for what is now called the OECD “club”: the late nineteenth century, the middle years between 1914 and 1950, and the late twentieth century. The first and last epochs were ones of overall fast growth, globalization, and convergence.
openaire   +1 more source

Globally Convergent Inexact Newton Methods [PDF]

open access: yesSIAM Journal on Optimization, 1994
Inexact Newton methods are formulated that incorporate features designed to improve convergence from arbitrary starting points. For each method, a basic global convergence result is established to the effect that, under reasonable assumption, if a sequence of iterates has a limit point at which \(F'\) is invertible, then that limit point is a solution ...
Eisenstat, Stanley C., Walker, Homer F.
openaire   +2 more sources

Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration [PDF]

open access: yesOperational Research, 2018
Stochastic gradient Hamiltonian Monte Carlo (SGHMC) is a variant of stochastic gradient with momentum where a controlled and properly scaled Gaussian noise is added to the stochastic gradients to steer the iterates towards a global minimum.
Xuefeng Gao   +2 more
semanticscholar   +1 more source

TransSentLog: Interpretable Anomaly Detection Using Transformer and Sentiment Analysis on Individual Log Event

open access: yesIEEE Access, 2023
Event logs play a crucial role in monitoring the status of IT systems. These logs contain text that describes how a system operates using natural language, which can be associated with sentiment polarity.
Tuan-Anh Pham, Jong-Hoon Lee
doaj   +1 more source

Financial Globalization, Convergence and Growth [PDF]

open access: yesSSRN Electronic Journal, 2008
Using a panel data set covering the period 1970-2004 and 96 countries, we provide empirical evidence that the composition of foreign capital, measured by the ratio FDI over total liabilities, has a positive effect on growth, directly and through convergence. Developing countries benefit relatively more as their initial GDP is smaller. These results are
Delfim Gomes Neto, Francisco José Veiga
openaire   +3 more sources

The global financial crisis and integration in European retail banking [PDF]

open access: yes, 2013
This document is the Accepted Manuscript version of the following article: Aarti Rughoo, and Nicolas Sarantis, 'The global financial crisis and integration in European retail banking', Journal of Banking and Finance, Vol.
Rughoo, Aarti, Sarantis, Nicholas
core   +1 more source

Global Business Cycles: Convergence or Decoupling? [PDF]

open access: yesSSRN Electronic Journal, 2008
We analyze the evolution of the degree of global cyclical interdependence over the period 1960–2008. Using a dynamic factor model, we decompose macroeconomic fluctuations in output, consumption, and investment into a global factor, factors specific to country groups, and country‐specific factors. We find that during 1985–2008, there is some convergence
Ayhan Kose   +2 more
openaire   +6 more sources

Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach [PDF]

open access: yesInternational Conference on Conceptual Structures, 2018
Flower pollination algorithm is a recent metaheuristic algorithm for solving nonlinear global optimization problems. The algorithm has also been extended to solve multiobjective optimization with promising results. In this work, we analyze this algorithm
Xingshi He   +3 more
semanticscholar   +1 more source

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