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Piecewise linear continuation

Known as: Piecewise linear 
Simplicial continuation, or piecewise linear continuation (Allgower and Georg), is a one-parameter continuation method which is well suited to small… Expand
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Related topics

Related topics

5 relations
Convex setInterpolationList of numerical analysis topicsNumerical continuation

Broader (1)

Numerical analysis

Papers overview

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Highly Cited
2015
Highly Cited
2015
Learning Entity and Relation Embeddings for Knowledge Graph Completion
Knowledge graph completion aims to perform link prediction between entities. In this paper, we consider the approach of knowledge… Expand
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Highly Cited
2010
Highly Cited
2010
Nearly unbiased variable selection under minimax concave penalty
We propose MC+, a fast, continuous, nearly unbiased and accurate method of penalized variable selection in high-dimensional… Expand
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Highly Cited
2002
Highly Cited
2002
The explicit linear quadratic regulator for constrained systems
We present a technique to compute the explicit state-feedback solution to both the finite and infinite horizon linear quadratic… Expand
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Highly Cited
2001
Highly Cited
2001
Derivative Dynamic Time Warping
Time series are a ubiquitous form of data occurring in virtually every scientific discipline. A common task with time series data… Expand
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Highly Cited
1999
Highly Cited
1999
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and… Expand
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Highly Cited
1998
Highly Cited
1998
Reconstructing Volume Tracking
A new algorithm for the volume tracking of interfaces in two dimensions is presented. The algorithm is based upon a well-defined… Expand
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Highly Cited
1992
Highly Cited
1992
Surface reconstruction from unorganized points
This thesis describes a general method for automatic reconstruction of accurate, concise, piecewise smooth surfaces from… Expand
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Highly Cited
1992
Highly Cited
1992
Learning With Continuous Classes
Some empirical learning tasks are concerned with predicting values rather than the more familiar categories. This paper describes… Expand
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Highly Cited
1991
Highly Cited
1991
Multi-stage stochastic optimization applied to energy planning
This paper presents a methodology for the solution of multistage stochastic optimization problems, based on the approximation of… Expand
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Highly Cited
1973
Highly Cited
1973
Textural Features for Image Classification
Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image… Expand
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