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Journal articles on the topic 'Constrained recovery'

Author: Grafiati

Published: 8 September 2021

Last updated: 29 July 2025

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1

Mungan, Necmettin. "Enhanced Recovery Under Constrained Conditions." Journal of Petroleum Technology 42, no. 08 (1990): 962–64. http://dx.doi.org/10.2118/20991-pa.

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2

Abishera, R., R. Velmurugan, and KV Nagendra Gopal. "Free, partial, and fully constrained recovery analysis of cold-programmed shape memory epoxy/carbon nanotube nanocomposites: Experiments and predictions." Journal of Intelligent Material Systems and Structures 29, no. 10 (2018): 2164–76. http://dx.doi.org/10.1177/1045389x18758187.

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Thermally activated shape memory polymers are typically programmed by initially heating the material above the glass transition temperature ( Tg), deforming to the desired shape, cooling below Tg, and unloading to fix the temporary shape. This process of deforming at high temperatures becomes a time-, labor-, and energy-expensive process while applying to large structures. Alternatively, materials with reversible plasticity shape memory property can be programmed at temperatures well below the glass transition temperature which offers several advantages over conventional programming. Here, the

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3

Mousavi, Seyedahmad, та Jinglai Shen. "Solution uniqueness of convex piecewise affine functions based optimization with applications to constrained ℓ1 minimization". ESAIM: Control, Optimisation and Calculus of Variations 25 (2019): 56. http://dx.doi.org/10.1051/cocv/2018061.

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In this paper, we study the solution uniqueness of an individual feasible vector of a class of convex optimization problems involving convex piecewise affine functions and subject to general polyhedral constraints. This class of problems incorporates many important polyhedral constrained ℓ1 recovery problems arising from sparse optimization, such as basis pursuit, LASSO, and basis pursuit denoising, as well as polyhedral gauge recovery. By leveraging the max-formulation of convex piecewise affine functions and convex analysis tools, we develop dual variables based necessary and sufficient uniq

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4

Ozcelikkale, Ayça, Haldun M. Ozaktas, and Erdal Arikan. "Signal Recovery With Cost-Constrained Measurements." IEEE Transactions on Signal Processing 58, no. 7 (2010): 3607–17. http://dx.doi.org/10.1109/tsp.2010.2046435.

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5

Li, Tengjie, Jian Li, and Xicheng Huang. "Experimental investigation on 4D printed intelligent assembly cushion with adjustable pre-tightening force." Smart Materials and Structures 32, no. 10 (2023): 105001. http://dx.doi.org/10.1088/1361-665x/acf014.

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Abstract In order to design an intelligent assembly cushion with an adjustable pre-tightening force, a reentrant honeycomb structure was printed by additive manufacturing to realize the active and intelligent assembly process of filling gaps. The thermo-mechanical deformation experiments of the reentrant honeycomb structure were conducted at different pre-compressions, constrained displacements, and recovery temperatures. The recovery force and the force recovery ratio under semi-constrained conditions are explored emphatically. The results show that pre-compression, constrained displacement,

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6

Geman, D., and G. Reynolds. "Constrained restoration and the recovery of discontinuities." IEEE Transactions on Pattern Analysis and Machine Intelligence 14, no. 3 (1992): 367–83. http://dx.doi.org/10.1109/34.120331.

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7

Si, H., and K. Gärtner. "3D boundary recovery by constrained Delaunay tetrahedralization." International Journal for Numerical Methods in Engineering 85, no. 11 (2010): 1341–64. http://dx.doi.org/10.1002/nme.3016.

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8

Li, Yan Feng, X. J. Mi, Xiang Qian Yin, and H. F. Xie. "Shape Memory Characteristics of NiTi Alloy Wire under Various Constrained Stresses." Advanced Materials Research 567 (September 2012): 135–40. http://dx.doi.org/10.4028/www.scientific.net/amr.567.135.

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The present research aims to understand the transformation temperatures and recovery strain of NiTi wires during heating and cooling under various constrained stresses. Both constrained stress and annealing temperature have significant effects on the shape memory characteristics. In general, increasing constrained stress causes an increase of the austenitic and martensitic transformation temperatures and a decrease of the recovery strain. This effect can be attributed to that the constrained stress inhibits the austenitic transformation, and thus more volume fraction of the martensite is retai

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9

Pemmadi, Venkata Rao, JInal Patel, and Ashish Nagar. "Enhanced Oil Recovery." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 834–41. http://dx.doi.org/10.22214/ijraset.2023.48875.

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Abstract: Enhanced oil recovery procedures, which are part of improved oil recovery, are used to recover the leftover oil include Steam injection, Polymer flooding, Gas injection and Water injection. Only a small percentage of the total hydrocarbons in the reservoir can be recovered using standard oil recovery technologies. Even if normal recovery procedures are implemented, almost 2 trillion barrels of conventional oil and 5 trillion barrels of heavy oil will remain in reservoirs around the world. Many factors, both economic and technological, influence the strategy chosen and the projected r

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10

Zaman, Forhad, Saber M. Elsayed, Ruhul Saker, and Daryl Essam. "Resource Constrained Project Scheduling With Dynamic Disruption Recovery." IEEE Access 8 (2020): 144866–79. http://dx.doi.org/10.1109/access.2020.3014940.

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11

Videnic, Tomaz, Franc Kosel, Viktor Sajn, and Miha Brojan. "Biaxial Constrained Recovery in Shape Memory Alloy Rings." Journal of Intelligent Material Systems and Structures 19, no. 8 (2007): 861–74. http://dx.doi.org/10.1177/1045389x07082378.

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12

Behmardi, Behrouz, and Raviv Raich. "On Confidence-Constrained Rank Recovery in Topic Models." IEEE Transactions on Signal Processing 60, no. 10 (2012): 5146–62. http://dx.doi.org/10.1109/tsp.2012.2208634.

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13

Kim, Daeun, and Justin P. Haldar. "Greedy algorithms for nonnegativity-constrained simultaneous sparse recovery." Signal Processing 125 (August 2016): 274–89. http://dx.doi.org/10.1016/j.sigpro.2016.01.021.

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14

Abokhodair, Abdulwahab A. "Constrained polynomial fitting for recovery of regional gravity." Geophysical Prospecting 59, no. 4 (2011): 749–59. http://dx.doi.org/10.1111/j.1365-2478.2011.00945.x.

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15

Du, Qiang, and Desheng Wang. "Constrained boundary recovery for three dimensional Delaunay triangulations." International Journal for Numerical Methods in Engineering 61, no. 9 (2004): 1471–500. http://dx.doi.org/10.1002/nme.1120.

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16

Bester, Johannes Petrus, Martin Van Eldik, and Philip van Zyl Venter. "Energy Recovery Maximisation Modelling Subject to Constrained Cooling." Energies 17, no. 1 (2023): 131. http://dx.doi.org/10.3390/en17010131.

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The primary heat rejection cycle, which is critical for the stability and integrity of the metal production process and equipment, involves the transfer of heat from flue gas to a fluid circulated through a gas-cooler. The rate of heat transfer from the flue gas is influenced by several parameters, including the temperature of the cooling fluid. Heat transfer rates that are too high or too low can negatively impact equipment’s life, emphasising the need for a temperature operational envelope in the cooling fluid prior to entering the gas-cooler. Rejected heat is used for power generation, tran

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17

Viezzoli, Andrea, Vladislav Kaminski, and Gianluca Fiandaca. "Modeling induced polarization effects in helicopter time domain electromagnetic data: Synthetic case studies." GEOPHYSICS 82, no. 2 (2017): E31—E50. http://dx.doi.org/10.1190/geo2016-0096.1.

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We have developed a synthetic multiparametric modeling and inversion exercise undertaken to study the robustness of inverting airborne time-domain electromagnetic (TDEM) data to extract Cole-Cole parameters. The following issues were addressed: nonuniqueness, ill posedness, dependency on manual processing and the effect of constraints, and a priori information. We have used a 1D layered earth model approximation and lateral constraints. Synthetic simulations were performed for several models and the corresponding Cole-Cole parameters. The possibility to recover these models by means of lateral

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18

Cui, Li Shan, and Yan Jun Zheng. "Self-Tension of Martensite during Constrained Transformation." Materials Science Forum 475-479 (January 2005): 1937–40. http://dx.doi.org/10.4028/www.scientific.net/msf.475-479.1937.

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In a constrained martensitic transformation of shape memory alloys, a fraction of martensite is always retained in the materials. Experimental results showed that the remaining martensite could be plastically deformed by the generated recovery stresses. The self-tension process elevated the reverse transformation temperatures of the remaining martensite, and the external constraint conditions had no significant effect on the self-tension process of the remaining martensite.

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19

Basit, Abdul, Gildas L’Hostis, and Bernard Durand. "Thermo-Mechanical Testing of Epoxy Shape Memory Polymer Composites." Advanced Materials Research 570 (September 2012): 15–23. http://dx.doi.org/10.4028/www.scientific.net/amr.570.15.

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In this work the two epoxy composites the controlled behavior of composite material (CBCM) and the thermally activated symmetrical composite (SYMM) have been tested for their shape memory property. These composites have been heated above their glass transition temperature (Tg) and deformed to the same displacement. The activated position has been taken as the reference point for displacement measurements during the fixing cycle. During the recovery, two types of tests have been conducted: Unconstrained recovery test and constrained recovery test. It has been found that the recovery of CBCM pla

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20

Kuske, Jan, and Stefania Petra. "Performance Bounds For Co-/Sparse Box Constrained Signal Recovery." Analele Universitatii "Ovidius" Constanta - Seria Matematica 27, no. 1 (2019): 79–106. http://dx.doi.org/10.2478/auom-2019-0005.

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Abstract The recovery of structured signals from a few linear measurements is a central point in both compressed sensing (CS) and discrete tomography. In CS the signal structure is described by means of a low complexity model e.g. co-/sparsity. The CS theory shows that any signal/image can be undersampled at a rate dependent on its intrinsic complexity. Moreover, in such undersampling regimes, the signal can be recovered by sparsity promoting convex regularization like ℓ1- or total variation (TV-) minimization. Precise relations between many low complexity measures and the sufficient number of

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21

Belyakov, Matthew, Pedro H. Bernardinelli, and Michael E. Brown. "Limits on the Detection of Planet Nine in the Dark Energy Survey." Astronomical Journal 163, no. 5 (2022): 216. http://dx.doi.org/10.3847/1538-3881/ac5c56.

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Abstract Studies of the clustering of the most distant Kuiper Belt objects in the outer solar system have hinted at the possible existence of a planet beyond Neptune referred to as Planet Nine (P9). Recent efforts have constrained the parameter space of the orbital elements of P9, allowing for the creation of a synthetic catalog of hypothetical P9s. By examining the potential recovery of such a catalog within numerous sky surveys, it is possible to further constrain the parameter space for P9, providing direction for a more targeted search. We examine the ability of the full six years of the D

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22

Najiya, K. Z., Munnu Sonkar, and C. S. Sastry. "Local Recovery Bounds for Prior Support Constrained Compressed Sensing." Mathematical Notes 111, no. 1-2 (2022): 93–102. http://dx.doi.org/10.1134/s0001434622010102.

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23

Bisaz, Reto, Benjamin Bessières, Janelle M. Miranda, Alessio Travaglia, and Cristina M. Alberini. "Recovery of memory from infantile amnesia is developmentally constrained." Learning & Memory 28, no. 9 (2021): 300–306. http://dx.doi.org/10.1101/lm.052621.120.

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Episodic memories formed during infancy are rapidly forgotten, a phenomenon associated with infantile amnesia, the inability of adults to recall early-life memories. In both rats and mice, infantile memories, although not expressed, are actually stored long term in a latent form. These latent memories can be reinstated later in life by certain behavioral reminders or by artificial reactivations of neuronal ensembles activated at training. Whether the recovery of infantile memories is limited by developmental age, maternal presence, or contingency of stimuli presentation remains to be determine

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24

Zammit, Brian, and David Zammit-Mangion. "On-Board Energy Recovery Assistance for Time-Constrained Descents." Journal of Aircraft 55, no. 3 (2018): 918–28. http://dx.doi.org/10.2514/1.c034281.

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25

Bendotti, Pascale, and Pierre Fouilhoux. "Feasibility recovery for the Unit-capacity Constrained Permutation Problem." Discrete Optimization 22 (November 2016): 66–86. http://dx.doi.org/10.1016/j.disopt.2015.09.004.

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26

Chaux, Caroline, Jean-Christophe Pesquet, and Nelly Pustelnik. "Nested Iterative Algorithms for Convex Constrained Image Recovery Problems." SIAM Journal on Imaging Sciences 2, no. 2 (2009): 730–62. http://dx.doi.org/10.1137/080727749.

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27

Afonso, Manya V., José M. Bioucas-Dias, and Mário A. T. Figueiredo. "Fast Image Recovery Using Variable Splitting and Constrained Optimization." IEEE Transactions on Image Processing 19, no. 9 (2010): 2345–56. http://dx.doi.org/10.1109/tip.2010.2047910.

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28

Issaoun, S., M. D. Johnson, L. Blackburn, M. Mościbrodzka, A. Chael, and H. Falcke. "VLBI imaging of black holes via second moment regularization." Astronomy & Astrophysics 629 (September 2019): A32. http://dx.doi.org/10.1051/0004-6361/201936156.

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The imaging fidelity of the Event Horizon Telescope (EHT) is currently determined by its sparse baseline coverage. In particular, EHT coverage is dominated by long baselines, and is highly sensitive to atmospheric conditions and loss of sites between experiments. The limited short/mid-range baselines especially affect the imaging process, hindering the recovery of more extended features in the image. We present an algorithmic contingency for the absence of well-constrained short baselines in the imaging of compact sources, such as the supermassive black holes observed with the EHT. This techni

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29

Maloney, Laurence T. "Surface color perception in constrained environments." Behavioral and Brain Sciences 26, no. 1 (2003): 38–39. http://dx.doi.org/10.1017/s0140525x03400010.

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AbstractByrne & Hilbert propose that color can be identified with explicit properties of physical surfaces. I argue that this claim must be qualified to take into account constraints needed to make recovery of surface color information possible. When these constraints are satisfied, then a biological visual system can establish a correspondence between perceived surface color and specific surface properties.

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30

Spalvieri, Arnaldo, and Luca Barletta. "Optimal Filtering in Pilot-Aided Carrier Recovery." Research Letters in Communications 2009 (2009): 1–5. http://dx.doi.org/10.1155/2009/645615.

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The paper deals with carrier recovery based on pilot symbols in single-carrier systems. Wiener's method is used to determine the optimal unconstrained filter in estimation of phase noise assuming that a sequence of equally spaced pilot symbols is available. Our analysis allows to capture two effects that are not considered in the existing literature: the impact of aliasing due to sampling of the phase noise sequence at the pilot rate and the cyclostationary nature of the estimate hence of its performance. Experimental results are derived also for the case, where the filter is constrained to th

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31

Azis, Iwan J. "Indonesia's Slow Recovery After Meltdown." Asian Economic Papers 7, no. 1 (2008): 79–103. http://dx.doi.org/10.1162/asep.2008.7.1.79.

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Although signs have emerged that some of the forces that caused the 1997–98 Asian financial crisis have begun to diminish and progress has been made in macroeconomic affairs, 10 years after the meltdown Indonesia's recovery is still among the slowest in Asian crisis countries. During the last few years, the relatively rapid growth of the financial sector (inadequately restructured) reflects the presence of excess liquidity and the sector's vulnerability. The slow growth of investment explains the economy-wide effects on the real sector and the stagnancy or deterioration of some social indicato

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32

Evler, Jan, Ehsan Asadi, Henning Preis, and Hartmut Fricke. "Airline ground operations: Schedule recovery optimization approach with constrained resources." Transportation Research Part C: Emerging Technologies 128 (July 2021): 103129. http://dx.doi.org/10.1016/j.trc.2021.103129.

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33

Dharanipragada, S., and K. S. Arun. "A quadratically convergent algorithm for convex-set constrained signal recovery." IEEE Transactions on Signal Processing 44, no. 2 (1996): 248–66. http://dx.doi.org/10.1109/78.485922.

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34

Kosel, F., and T. Videnic. "Generalized Plasticity and Uniaxial Constrained Recovery in Shape Memory Alloys." Mechanics of Advanced Materials and Structures 14, no. 1 (2007): 3–12. http://dx.doi.org/10.1080/15376490600864307.

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35

Zhou, Zhiyong, and Jun Yu. "Sparse recovery based on q-ratio constrained minimal singular values." Signal Processing 155 (February 2019): 247–58. http://dx.doi.org/10.1016/j.sigpro.2018.10.002.

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36

Tan, Cheen-Hau, JunHui Hou, and Lap-Pui Chau. "Motion capture data recovery using skeleton constrained singular value thresholding." Visual Computer 31, no. 11 (2014): 1521–32. http://dx.doi.org/10.1007/s00371-014-1031-5.

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37

Jaber, M. Y., and W. P. Neumann. "Modelling worker fatigue and recovery in dual-resource constrained systems." Computers & Industrial Engineering 59, no. 1 (2010): 75–84. http://dx.doi.org/10.1016/j.cie.2010.03.001.

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38

Combettes, P. L., and Jian Luo. "An adaptive level set method for nondifferentiable constrained image recovery." IEEE Transactions on Image Processing 11, no. 11 (2002): 1295–304. http://dx.doi.org/10.1109/tip.2002.804527.

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39

Zhang, Hui, and Lizhi Cheng. "On the Constrained Minimal Singular Values for Sparse Signal Recovery." IEEE Signal Processing Letters 19, no. 8 (2012): 499–502. http://dx.doi.org/10.1109/lsp.2012.2203802.

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40

Ural, Hasan, and Keqin Zhu. "Distributed delay constrained multicast routing algorithm with efficient fault recovery." Networks 47, no. 1 (2005): 37–51. http://dx.doi.org/10.1002/net.20090.

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41

Lakhera, Nishant, Christopher M. Yakacki, Thao D. Nguyen, and Carl P. Frick. "Partially constrained recovery of (meth)acrylate shape-memory polymer networks." Journal of Applied Polymer Science 126, no. 1 (2012): 72–82. http://dx.doi.org/10.1002/app.36612.

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42

Zhang, Zheng, and Hui Min Ma. "Optimal Study of the Reverse Logistics Network for Municipal Solid Wastes." Applied Mechanics and Materials 519-520 (February 2014): 1405–11. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1405.

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A reverse logistics network for municipal solid wastes is designed. A fuzzy chance constrained programming model that the uncertain recovery quantity described by fuzzy parameter is put forward. The model is solved by transforming it to a deterministic mix integer linear programming model after making the fuzzy constraints clear. A numerical example is provided to demonstrate the feasibility of the model. And this paper analyzes the influence of different confidence level to the model.

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43

Choe, Chol-Guk, Myong-Gil Rim, and Ji-Song Ryang. "Sparse recovery with general frame via general-dual-based analysis Dantzig selector." Asian-European Journal of Mathematics 12, no. 07 (2019): 2050143. http://dx.doi.org/10.1142/s1793557120501430.

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This paper considers recovery of signals that are sparse or approximately sparse in terms of a general frame from undersampled data corrupted with additive noise. We show that the properly constrained [Formula: see text]-analysis, called general-dual-based analysis Dantzig selector, stably recovers a signal which is nearly sparse in terms of a general dual frame provided that the measurement matrix satisfies a restricted isometry property adapted to the general frame. As a special case, we consider the Gaussian noise.

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44

Xu, Hang, Song Li, and Junhong Lin. "Low rank matrix recovery with adversarial sparse noise*." Inverse Problems 38, no. 3 (2022): 035001. http://dx.doi.org/10.1088/1361-6420/ac44dc.

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Abstract Many problems in data science can be treated as recovering a low-rank matrix from a small number of random linear measurements, possibly corrupted with adversarial noise and dense noise. Recently, a bunch of theories on variants of models have been developed for different noises, but with fewer theories on the adversarial noise. In this paper, we study low-rank matrix recovery problem from linear measurements perturbed by ℓ 1-bounded noise and sparse noise that can arbitrarily change an adversarially chosen ω-fraction of the measurement vector. For Gaussian measurements with nearly op

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45

Gong, Meitao. "Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm." Advances in Multimedia 2021 (September 20, 2021): 1–6. http://dx.doi.org/10.1155/2021/6337431.

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According to the basic principle of piecewise linear classifier and its application in the field of infrared chemical remote sensing monitoring, the characteristics of unilateral piecewise linear classifier applied to the infrared spectrum identification of chemical agents are studied. With the characteristic of separate transmission, the characteristic recovery with the total observed deviation is used for the model. The relaxation factors are used to replace the constrained conditions that cannot be optimized into constrained separate line segment calculation conditions. Experiments show tha

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46

Gamardella, Francesco, Angels Serra, Xavier Ramis, and Silvia De la Flor. "Actuator Behaviour of Tailored Poly(thiourethane) Shape Memory Thermosets." Polymers 13, no. 10 (2021): 1571. http://dx.doi.org/10.3390/polym13101571.

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In this work, a new family of poly(thiourethane) shape memory thermosetting actuators was developed and characterized. These materials can be easily prepared from mixtures of two different aliphatic diisocyanates and a trithiol in the presence of a latent catalyst, allowing an easy manipulation of the formulation. Rheological studies of the curing process confirm the latent character of the formulations. The glass transition temperatures and the mechanical properties can be modified by varying the proportion of diisocyanates (hexamethylene diisocyanate, HDI, and isophorone diisocyanate, IPDI)

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47

Volk, Brent L., Dimitris C. Lagoudas, and Duncan J. Maitland. "Characterizing and modeling the free recovery and constrained recovery behavior of a polyurethane shape memory polymer." Smart Materials and Structures 20, no. 9 (2011): 094004. http://dx.doi.org/10.1088/0964-1726/20/9/094004.

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48

Geng, Pengbo, Peng Li, and Wengu Chen. "An improved bound of cumulative coherence for signal recovery." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 02 (2019): 1950053. http://dx.doi.org/10.1142/s021969131950053x.

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This paper considers the recovery condition of signals from undersampled data corrupted with additive noise in the framework of cumulative coherence. We establish some sufficient conditions which can guarantee the stable recovery from quadratically constrained basis pursuit (QCBP), Dantzig selector (DS) and Lasso estimator.

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49

Yang, Lei, Zheng-Hai Huang, and Yu-Fan Li. "A Splitting Augmented Lagrangian Method for Low Multilinear-Rank Tensor Recovery." Asia-Pacific Journal of Operational Research 32, no. 01 (2015): 1540008. http://dx.doi.org/10.1142/s0217595915400084.

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This paper studies a recovery task of finding a low multilinear-rank tensor that fulfills some linear constraints in the general settings, which has many applications in computer vision and graphics. This problem is named as the low multilinear-rank tensor recovery problem. The variable splitting technique and convex relaxation technique are used to transform this problem into a tractable constrained optimization problem. Considering the favorable structure of the problem, we develop a splitting augmented Lagrangian method (SALM) to solve the resulting problem. The proposed algorithm is easily

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50

Gomes, Nelson, and Nuno Gonçalves. "Innovation and the Financial Performance of Firms during the Great Recession and Recovery Period." Notas Económicas, no. 55 (December 7, 2022): 113–28. http://dx.doi.org/10.14195/2183-203x_55_5.

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This study analyzes the relationship between innovation and financial constraints. To this end, a database extracted from the Community Innovation Survey (CIS) and the System of Business Accounts (SCIE) was used. The sample consisted of 24,679 active companies operating in Portugal in the manufacturing and service industry between 2008 and 2016. A Recursive Bivariate Probit Model (RPBM) was used for making estimates. When analyzing the relationship between innovation and financial constraints, the results reveal a negative relationship between the two, confirming that firms that are financiall

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