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Simplicial dijkstra and A
*
algorithms: From graphs to continuous spaces
Dmitry S. Yershov
,
Steven M. Lavalle
Coordinated Science Lab
Information Trust Institute
Siebel School of Computing and Data Science
Research output
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*
algorithms: From graphs to continuous spaces'. Together they form a unique fingerprint.
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Keyphrases
A* Algorithm
33%
Adaptation
33%
Continuous Space
100%
Cost-to-go Function
66%
Dijkstra
100%
Dijkstras Algorithm
33%
Discrete Dynamic Programming
33%
Discrete Version
33%
Distance Traveled
33%
Dynamic Programming Equation
33%
Dynamic Programming Principle
33%
Euclidean Distance
33%
Feedback Planning
33%
Interpolation Method
33%
Nonlinear Systems
33%
Optimal Feedback
66%
Optimal Trajectory
33%
Performance Improvement
33%
Piecewise Linear Approximation
33%
Planning Problem
33%
Polygonal Obstacles
33%
Simplicial
100%
Simplicial Decomposition
33%
Computer Science
Approximation (Algorithm)
50%
Continuous Space
100%
Dijkstras Algorithm
50%
Dynamic Programming
100%
Euclidean Distance
50%
Nonlinear System
50%
Optimal Trajectory
50%
piecewise linear
50%
Mathematics
Approximates
100%
Euclidean Distance
50%
Nonlinear System
50%
Optimal Trajectory
50%
Piecewise-Linear Approximation
50%