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Black-box Methods for Restoring Monotonicity [article]

Evangelia Gergatsouli, Brendan Lucier, Christos Tzamos
2020 arXiv   pre-print
Finally, we obtain improved query complexity bounds for restoring the weaker property of k-marginal monotonicity.  ...  In this work we develop algorithms that are able to restore monotonicity in the parameters of interest.  ...  In this work we develop tools to restore monotonicity in a black-box way.  ... 
arXiv:2003.09554v1 fatcat:m47k3jem5bebbb2rmgfx6jp2zm

Fast Cut Back Thermal Power Plant Load Rejection and Black Start Field Test Analysis

Kaiwen Zeng, Jinyu Wen, Longpeng Ma, Shijie Cheng, En Lu, Ning Wang
2014 Energies  
For a black start with high voltage and long-distance transmission lines, it is much easier to cause phenomena such as self-excitation and power frequency/operating overvoltage, which may lead to black  ...  Meanwhile, the long time needed to crank up the non-black start units will impact the speed of the restoration.  ...  non-black start units, which will result in a long duration restoration processes.  ... 
doi:10.3390/en7052740 fatcat:hgmxh3bmwbat7delqrv2srwhka

Graphene growth from reduced graphene oxide by chemical vapour deposition: seeded growth accompanied by restoration

Sung-Jin Chang, Moon Seop Hyun, Sung Myung, Min-A Kang, Jung Ho Yoo, Kyoung G. Lee, Bong Gill Choi, Youngji Cho, Gaehang Lee, Tae Jung Park
2016 Scientific Reports  
by the restoration of graphitic structure.  ...  The monotonous enhancement of the structural quality of the graphene with increasing length of the graphene growth from RGO suggests that seeded CVD growth of graphene from RGO on Cu surface is accompanied  ...  For a precise analysis, Raman maps of I D /I G (Fig. 3c) and I 2D /I G (Fig. 3d) of the area near the thick RGO (Fig. 3a,b, yellow box) were measured.  ... 
doi:10.1038/srep22653 pmid:26961409 pmcid:PMC4785362 fatcat:slxjpqhyyrcytgjlkdfa656rhe

Projected Barzilai-Borwein Method with Infeasible Iterates for Nonnegative Least-Squares Image Deblurring

Kathleen Fraser, Dirk V. Arnold, Graham Dellaire
2014 2014 Canadian Conference on Computer and Robot Vision  
We present a non-monotonic gradient descent algorithm with infeasible iterates for the nonnegatively constrained least-squares deblurring of images.  ...  The skewness of the intensity values of the deblurred image is used to establish a criterion for when to enforce the nonnegativity constraints.  ...  Dai and Fletcher [14] study pBB methods with update rules Eqs. (8) and (9) as well as several further variants for large-scale box-constrained quadratic programming.  ... 
doi:10.1109/crv.2014.33 dblp:conf/crv/FraserAD14 fatcat:jo3ka6ubineura4mkmnmo42u5u

Page 4584 of Mathematical Reviews Vol. , Issue 2003f [page]

2003 Mathematical Reviews  
Majava, Determina- tion of regularization parameter in monotone active set method for image restoration (641-648); Lars Miller and Gert Lube, A nonoverlapping domain decomposition method for the non- stationary  ...  Adolph, Development of a black-box solver for nonlinear systems of elliptic and parabolic PDE’s (698-706); Karel Segeth, Adaptive finite element method of lines for nonlinear parabolic equations (707-714  ... 

Compressive Sensing Technique for Mitigating Nonlinear Memory Effects in Radar Receivers

Euan Ward, Shahzad Gishkori, Bernard Mulgrew
2021 IEEE Transactions on Aerospace and Electronic Systems  
As a result, the NCS solution can successfully restore system sensitivity back to the linear case when in-band interference drives the radar receiver into its nonlinear regime.  ...  For the in-band nonlinear scenario, this corresponds to the case where the black-box receiver model, ( 15 ) and ( 16 ), has a nonlinear order of P = 1.  ...  SYSTEM MODEL The Volterra series is a powerful black-box behavioural model capable of modelling complex nonlinear memory ef-fects.  ... 
doi:10.1109/taes.2021.3112116 fatcat:mk66ussdkbhpbinrc7aajqvrvq

Effects of tubing degradation and pump position on extracorporeal circulation performance

Filip Schröter, Torsten Müller, Martin Hartrumpf, Roya Ostovar, Ralf‐Uwe Kühnel, Johannes Maximilian Albes
2020 Artificial Organs  
Further research is necessary to evaluate the exact cause of the reduction of restoring force over time as well as its risks for the patients.  ...  Regardless of the setup, the tubing showed significant loss of restoring force as well as effective flow over time.  ...  P values were corrected for multiple testing according to the Holm-Bonferroni-method.  ... 
doi:10.1111/aor.13847 pmid:33084066 fatcat:5dbi23tydzgenpdob4iglms4ry

Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate

Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir N Shavit
2022 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Uncertainty estimation is an essential step in the evaluation of the robustness for deep learning models in computer vision, especially when applied in risk-sensitive areas.  ...  Surprisingly, even without involving such perturbations in training, our methods produce comparable or even better uncertainty estimation when compared to training-required state-of-the-art methods.  ...  Acknowledgments The authors thank the reviewers/SPC/AC for the constructive comments to improve the paper.  ... 
doi:10.1609/aaai.v36i9.21243 fatcat:q4dapdvqp5betl7khcoixtegyq

Book Review: Lagrange multiplier approach to variational problems and applications

I. P. Gavrilyuk
2010 Mathematics of Computation  
Chapter 10 deals with a Lagrangian treatment of parabolic variational inequalities in unbounded domains (arising, for example, in the Black-Scholes equation) and describes the use of monotone techniques  ...  The next chapter, "Semismooth Newton Methods II: Applications", is devoted to such important classes of applications as image restoration and deconvolution problems regularized by the bounded variation  ... 
doi:10.1090/s0025-5718-09-02328-x fatcat:rhomz4xvd5hzxc44mqvbuig47m

Spatially Adaptive Intensity Bounds for Image Restoration

Kaaren L. May, Tania Stathaki, Aggelos K. Katsaggelos
2003 EURASIP Journal on Advances in Signal Processing  
Based on this method, a new alternating constrained minimisation approach is proposed for blind image restoration.  ...  Guidelines for choosing this parameter are developed in the context of classical (nonblind) image restoration.  ...  Her research interests include image restoration, motion estimation, and nonlinear modelling.  ... 
doi:10.1155/s1110865703308066 fatcat:6bpkud7g6vcotiprnktmer3p6i

Page 6081 of Mathematical Reviews Vol. , Issue 90J [page]

1990 Mathematical Reviews  
Summary: “A quadratic black box is a two-port network with each arc incurring a quadratic cost.  ...  This paper studies the properties of the minimum cost function of a quadratic black box with respect to an external flow input.  ... 

Static properties of quasi-confined hard-sphere fluids

Charlotte F Petersen, Lukas Schrack, Thomas Franosch
2019 Journal of Statistical Mechanics: Theory and Experiment  
A non-monotonic evolution of the static-structure-factor peak and the pressure is observed upon variation of the confining length, similar to a liquid confined between two plates.  ...  ACKNOWLEDGMENTS We thank Martin Oettel for introducing us to the numerics of integral equation theory. CFP is supported by the Austrian Science Fund (FWF): M 2471.  ...  For both methods we observe non-monotonic behavior of the static structure and the pressure with increasing confinement length, similar to the behavior of confined liquids in a slit geometry.  ... 
doi:10.1088/1742-5468/ab3342 fatcat:fepnyjbjvfb2re3kzpc73kknbi

Improving Scans of Black and White photographs by Recovering the Print Maker's Artistic Intent [article]

Daniel M. German
2008 Computational Aesthetics in Graphics  
We then extend this method to restore a print by combining scans of different versions of the same image.  ...  In this paper we propose a method that reverse engineers the aesthetic decisions made by a print maker to produce a print from a negative, namely cropping, contrast selection, and dodging-and-burning.  ...  A region from the scan from [Kot05] (depicted also in Figure 5 ) is used to restore it. us assume that there is no cropping or scaling: DBprint ≡ pro j(paperF(neg), T ) paperF is increasingly monotonic  ... 
doi:10.2312/compaesth/compaesth08/099-106 fatcat:gxkjjs5hsrgmxkim6k44epjtte

An intensity ratio of interlocking loops determines circadian period length

Jie Yan, Guangsen Shi, Zhihui Zhang, Xi Wu, Zhiwei Liu, Lijuan Xing, Zhipeng Qu, Zhen Dong, Ling Yang, Ying Xu
2014 Nucleic Acids Research  
Then we measured the mRNA levels from two loops in 10-mutant mice and observed the similar monotonic relationship.  ...  ACKNOWLEDGMENT We thank Professor Chao Tang (UCSF/PKU) for giving insightful comments on this study. Authors Contributions.  ...  Y.X. and L.Y. are responsible for the infrastructure, project direction and planning. L.Y. designed the mathematical models and Y.X. designed the biological experiments.  ... 
doi:10.1093/nar/gku701 pmid:25122753 pmcid:PMC4176327 fatcat:koifhu2jpveh7os4svsyvne66u

Tikhonov regularization based on generalized Krylov subspace methods

Lothar Reichel, Fiorella Sgallari, Qiang Ye
2012 Applied Numerical Mathematics  
This method simultaneously reduces both the matrix of the linear discrete ill-posed problem and the regularization operator.  ...  We consider Tikhonov regularization of large linear discrete ill-posed problems with a regularization operator of general form and present an iterative scheme based on a generalized Krylov subspace method  ...  We would like to thank Giuseppe Rodriguez for insightful comments and a referee for remarks.  ... 
doi:10.1016/j.apnum.2010.10.002 fatcat:4heprrsh5neh7a6xh3n45skknm
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