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Output-sensitive algorithm
Known as:
Output sensitivity
, Output-sensitivity
In computer science, an output-sensitive algorithm is an algorithm whose running time depends on the size of the output, instead of, or in addition…
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Related topics
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19 relations
Algorithm
Bron–Kerbosch algorithm
Chan's algorithm
Clique problem
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Broader (1)
Analysis of algorithms
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Inverse Parametrization of a Regional Groundwater Flow Model with the Aid of Modelling and GIS: Test and Application of Different Approaches
M. Usman
,
T. Reimann
,
R. Liedl
,
A. Abbas
,
C. Conrad
,
S. Saleem
ISPRS Int. J. Geo Inf.
2018
Corpus ID: 3350211
The use of inverse methods allow efficient model calibration. This study employs PEST to calibrate a large catchment scale…
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2017
2017
On the lower bound of the anisotropic norm of the linear stochastic system
V. Boichenko
,
A. Kurdyukov
Automation and remote control
2017
Corpus ID: 49317693
The anisotropic norm of the linear discrete time invariant system is the measure of the system output sensitivity to a random…
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2009
2009
Interval Uncertainty Reduction and Single-Disciplinary Sensitivity Analysis With Multi-Objective Optimization
Mian Li
,
N. Williams
,
S. Azarm
Design Automation Conference
2009
Corpus ID: 110271782
Sensitivity analysis has received significant attention in engineering design. While sensitivity analysis methods can be global…
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2008
2008
Development of plasmonic substrates for biosensing
A. Brolo
,
J. Ferreira
,
+5 authors
R. Gordon
NanoScience + Engineering
2008
Corpus ID: 137117007
The transmission of normally incident light through arrays of subwavelength holes (nanoholes) in gold thin films is enhanced at…
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2002
2002
Statistical output sensitivity to input and weight perturbations of radial basis function neural networks
W.W.Y. Ng
,
D. Yeung
,
Q. Ran
,
Eric C. C. Tsang
IEEE International Conference on Systems, Man and…
2002
Corpus ID: 32116780
This paper presents a statistical sensitivity measure of the outputs to input and weight perturbations, for an ensemble of Radial…
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2001
2001
A Sensitivity Function Approach to the Design of Rudder Roll Stabilization Controller
C. Tzeng
,
Chung-Yi Wu
,
Yundi Chu
Journal of Marine Science and Technology
2001
Corpus ID: 186201079
This paper is concerned with the design of a rudder roll stabilization (RRS) system by the internal model control (IMC) method…
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1997
1997
Reduced-order functional link neural network for HVAC thermal system identification and modeling
M. Chow
,
J. Teeter
International Conference on Neural Networks
1997
Corpus ID: 61605042
The use of computers for direct digital control highlights the trend toward more effective and efficient HVAC control…
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1993
1993
An Output Sensitive Algorithm for the Computation of Shadow Boundaries
A. J. Stewart
,
Sherif Ghali
Canadian Conference on Computational Geometry
1993
Corpus ID: 18859009
Given a set of polyhedra and a polygon in E3, the –aspect graph is a partition of the faces of the polyhedra into regions such…
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Highly Cited
1982
Highly Cited
1982
Environmental Systems Optimization
E. Bartlett
,
D. Haith
1982
Corpus ID: 89981679
This book is described as a Symposium in Print. It contains five papers on vertical drains which were printed initially in the…
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1979
1979
Charge-coupled device structures for VLSI memories
P. Chatterjee
,
G. Taylor
,
A. Tasch
IEEE Transactions on Electron Devices
1979
Corpus ID: 40477547
High-performance CCD's which can operate at the scaled voltage levels and geometry sizes projected for VLSI memory will require…
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