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Global optimization

Known as: Global minimization, Global optimisation, Local minimization 
Global optimization is a branch of applied mathematics and numerical analysis that deals with the global optimization of a function or a set of… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Minimum error rate training is a crucial component to many state-of-the-art NLP applications, such as machine translation and… 
2005
2005
  • A. Jantsch
  • 2005
  • Corpus ID: 1648940
Axel Jantsch Royal Institute of Technology 4. 
2004
2004
This paper presents a new approach to the problem of building a global map from laser range data, utilizing shape based object… 
2003
2003
In this paper, we examine the spectrum of choices between organisational centralisation and decentralisation in the presence of… 
2000
2000
Knowledge provided by GIS data can alleviate many problems associated with object recognition from aerial imagery. However, as… 
1998
1998
We discuss a novel strategy for training neural networks using sequential Monte Carlo algorithms and propose a new hybrid… 
1997
1997
A key problem in the recovery of scene descriptions from multiple views is the fusion of information from different vantage… 
1991
1991
A family of numerical methods is developed for the numerical solution of a linear third-order dispersive partial differential… 
1986
1986
The disconnected components of certain trajectory nets containing all critical points of a differentiable functionf can be… 
1979
1979
We develop several algorithms that obtain the global optimum to the indefinite quadratic programming problem. A generalized…