Relevant bibliographies by topics / Constrained recovery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Constrained recovery'

Author: Grafiati
Published: 8 September 2021
Last updated: 29 July 2025

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Journal articles on the topic "Constrained recovery"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Constrained recovery"

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Ghadyani, Hamid R. "Tetrahedral Meshes in Biomedical Applications: Generation, Boundary Recovery and Quality Enhancements." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-dissertations/84.

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Mesh generation is a fundamental precursor to finite element implementations for solution of partial differential equations in engineering and science. This dissertation advances the field in three distinct but coupled areas. A robust and fast three dimensional mesh generator for arbitrarily shaped geometries was developed. It deploys nodes throughout the domain based upon user-specified mesh density requirements. The system is integer and pixel based which eliminates round off errors, substantial memory requirements and cpu intensive calculations. Linked, but fully detachable, to the mesh gen
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Wong, Chung To (Charles). "Applications of constrained non-parametric smoothing methods in computing financial risk." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/20537/1/Chung_To_Wong_Thesis.pdf.

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The aim of this thesis is to improve risk measurement estimation by incorporating extra information in the form of constraint into completely non-parametric smoothing techniques. A similar approach has been applied in empirical likelihood analysis. The method of constraints incorporates bootstrap resampling techniques, in particular, biased bootstrap. This thesis brings together formal estimation methods, empirical information use, and computationally intensive methods. In this thesis, the constraint approach is applied to non-parametric smoothing estimators to improve the estimation or modell
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Wong, Chung To (Charles). "Applications of constrained non-parametric smoothing methods in computing financial risk." Queensland University of Technology, 2008. http://eprints.qut.edu.au/20537/.

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The aim of this thesis is to improve risk measurement estimation by incorporating extra information in the form of constraint into completely non-parametric smoothing techniques. A similar approach has been applied in empirical likelihood analysis. The method of constraints incorporates bootstrap resampling techniques, in particular, biased bootstrap. This thesis brings together formal estimation methods, empirical information use, and computationally intensive methods. In this thesis, the constraint approach is applied to non-parametric smoothing estimators to improve the estimation or modell
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Trede, Dennis. "Inverse problems with sparsity constraints convergence rates and exact recovery." Berlin Logos-Verl, 2010. http://d-nb.info/1002361532/04.

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Lagarde, Jean W. (Jean Wilfrid). "Constraints and their satisfaction in the recovery of local surface structure." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59897.

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This thesis deals with the problem of recovering the local structure of surfaces from discrete range data. It is assumed that this recovery is done mostly in a bottom-up fashion, that is, without the help of a priori knowledge about the viewed surface.<br>Because the problem is ill-posed, we nevertheless need to place constraints on the recovered structure to get a unique solution. In a bottom-up approach, these constraints must come from generic assumptions that apply to all surfaces.<br>Many methods of bottom-up surface reconstruction have been proposed up to now, some of them dealing with i
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Difrancesco, Stephanie. "Intensive language action therapy and recovery in chronic aphasia." Thesis, Anglia Ruskin University, 2013. http://arro.anglia.ac.uk/317215/.

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Intensive Language Action Therapy (ILAT) is a short-term aphasia therapy that emphasises massed-practise of language, where communication is framed through language action games that approximate everyday interactions. Despite increasing interest in ILAT, a comprehensive description of its methods has thus far been missing. Furthermore due to inconsistent results, further exploration of cortical reorganisation of language functions following ILAT is warranted. The underlying principles and practical features of ILAT methods and of language-action games are fully described, including the structu
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Difrancesco, Stephanie. "Intensive language action therapy and recovery in chronic aphasia." Thesis, Anglia Ruskin University, 2013. https://arro.anglia.ac.uk/id/eprint/317215/1/Stephanie%20Difrancesco%20Thesis.pdf.

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Intensive Language Action Therapy (ILAT) is a short-term aphasia therapy that emphasises massed-practise of language, where communication is framed through language action games that approximate everyday interactions. Despite increasing interest in ILAT, a comprehensive description of its methods has thus far been missing. Furthermore due to inconsistent results, further exploration of cortical reorganisation of language functions following ILAT is warranted. The underlying principles and practical features of ILAT methods and of language-action games are fully described, including the struct
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Boyd, Phillip L. "Recovery of unknown constraint length and encoder polynomials for rate 1/2 linear convolutional encoders." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA375935.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, December 1999.<br>"December 1999". Thesis advisor(s): Clark Robertson, Tri Ha, Ray Ramey. Includes bibliographical references (p. 79). Also available online.
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Xu, Ning. "Accurate variable selection and causal structure recovery in high-dimensional data." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/22920.

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From the perspective of econometrics, an accurate variable selection method greatly enhances the reliability of causal analysis and interpretation of the estimators, espe- cially in a world of ever-expanding data dimensions. While variable selection methods in machine learning and statistics have been developed rapidly and applied widely in different branches of data science in the last decade, they have been more slowly adopted in econometrics. Nevertheless, the machine learning methods, including lasso, forward regression, cross-validation and marginal correlation ranking (also called vari-
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Sartipi, Kamran. "Software Architecture Recovery based on Pattern Matching." Thesis, University of Waterloo, 2003. http://hdl.handle.net/10012/1122.

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Pattern matching approaches in reverse engineering aim to incorporate domain knowledge and system documentation in the software architecture extraction process, hence provide a user/tool collaborative environment for architectural design recovery. This thesis presents a model and an environment for recovering the high level design of legacy software systems based on user defined architectural patterns and graph matching techniques. In the proposed model, a high-level view of a software system in terms of the system components and their interactions is represented as a query, using a de
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Books on the topic "Constrained recovery"

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Woods, Steven G., Alexander E. Quilici, and Qiang Yang. Constraint-Based Design Recovery for Software Reengineering. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5461-5.

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Woods, Steven G. Constraint-based design recovery for software reengineering: Theory and experiments. Kluwer Academic, 1998.

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Woods, Steven G. Constraint-Based Design Recovery for Software Reengineering: Theory and Experiments. Springer US, 1998.

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Frost, R. C. Energy recovery from sewage sludge in the UK: Current prospects and constraints. HMSO, 1993.

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Office, General Accounting. Coast Guard: Challenges for addressing budget constraints : report to Congressional requesters. The Office, 1997.

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Burton, Derek, and Margaret Burton. Conservation and fish function. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785552.003.0016.

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The future for fish is a matter of concern. Individual fish may need specific conditions and are increasingly constrained by habitat changes and destruction, such as the reduction of wetlands. Pollution and temperature change affect fish negatively. It has recently been suggested that extinction rates for freshwater fish are very high. Generally, the wild fishery has no owner, ‘the tragedy of the commons’ may apply with nobody taking adequate responsibility. Increasing awareness is promoting conservation and conservation physiology. This can involve aquaculture, reducing the wild fisheries and
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Pickard, Hanna. Stories of Recovery. Edited by John Z. Sadler, K. W. M. Fulford, and Werdie (C W. ). van Staden. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780198732372.013.45.

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I explore the role of narrative understanding in recovery from post-traumatic stress disorder (PTSD) and personality disorder (PD), and explain why self-autonomy and self-creation, as components of narrative understanding, are central to the recovery process. Drawing on a hypothetical clinical vignette, I show how narrative understanding can impede recovery if it is not harnessed to a patient’s sense of agency for change and hope for the future. I suggest that this risk can be averted by focusing on how narrative is a form of understanding that can surprise us and defy expectations, allowing u
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Quilici, Alexander E., Steven G. Woods, and Qiang Yang. Constraint-Based Design Recovery for Software Reengineering: Theory and Experiments (International Series in Software Engineering). Springer, 1997.

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Recovery of Unknown Constraint Length and Encoder Polynomials for Rate 1/2 Linear Convolutional Encoders. Storming Media, 1999.

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Wolff, Nancy. Correctional Mental Health Research and Program Evaluation. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199360574.003.0070.

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Research in mental health issues in prisoner populations essentially stopped in the mid 1970’s. It is now re-emerging as a critical component of improving mental health care and helping toward recovery for the incarcerated mentally ill. Mental illness, ranging from acute anxiety to schizophrenia, is endemic within prisons and jails. Unlike their free world counterparts, however, incarcerated people have a constitutional right to mental health treatment. Yet, despite the need for and right to mental health treatment, remarkably little reliable and valid evidence is available on the nature and l
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Book chapters on the topic "Constrained recovery"

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Khare, Kedar. "Constrained Optimization Methods for Image Recovery." In Fourier Optics and Computational Imaging. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118900352.ch6.

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Enkhbat, Rentsen, Tatiana V. Gruzdeva, and Jamsranjav Enkhbayr. "D.C. Constrained Optimization Approach for Solving Metal Recovery Processing Problem." In Mathematical Optimization Theory and Operations Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49988-4_7.

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Wang, Huijiao, Zhuoyang Cai, Chuanyu Liao, and Biao Li. "Energy-Constrained UAV Network Topology Recovery Based on Graph Convolutional Networks." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-95-0009-3_7.

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Wasserman, Anelia. "Adapting Mathematics Recovery Individual Assessments for Group Administration in Resource-Constrained Contexts." In Improving Primary Mathematics Education, Teaching and Learning. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-52980-0_6.

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Videnic, Tomaz, Mihael Brojan, and Franc Kosel. "One-Dimensional Model of Constrained Recovery in SMA with Non-Constant Young's Modulus." In ICOMAT. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118803592.ch33.

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Tang, Zhenyu, Yue Cui, and Bo Jiang. "Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66185-8_45.

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Barbieri, Giovanni, Floriana Cerniglia, and Franco Mosconi. "4. Italy, NRRP, and Industrial Policy." In Investing in the Structural Transformation. Open Book Publishers, 2024. https://doi.org/10.11647/obp.0434.05.

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This chapter assesses the National Recovery and Resilience Plan (NRRP) as an industrial policy tool within the Next Generation EU framework, despite limited explicit reference to an industrial strategy. The NRRP emerges during a unique moment for the European Union (EU), characterized by the suspension of the Stability and Growth Pact and the relaxation of state aid restrictions, which have collectively expanded public intervention opportunities. This marks a significant shift from the post-1990s ideological emphasis on competition over state involvement, particularly in Italy, where reduction
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Luo, Tingting, Nianning Luo, Jing Yang, and Bo Huang. "Parameter Optimization Methods of the Hydraulic Regenerative Braking System Based on the Actual Working Condition." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_13.

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AbstractHydraulic regenerative braking system is a kind of complex MIMO (Multiple Input Multiple Output) system which is strongly nonlinear and multivariable, especially affected observably by the working condition. Moreover, it possesses the typical hybrid system characteristics since there are a multitude of nonlinear components internal which should result to continuous dynamic variation and discrete decision process. Hence, the traditional calculating method is difficult to analyze and evaluate the system accurately while operating on the actual working conditions. In order to solve the pa
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Ardah, Khaled, Martin Haardt, Tianyi Liu, Frederic Matter, Marius Pesavento, and Marc E. Pfetsch. "Recovery Under Side Constraints." In Compressed Sensing in Information Processing. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-09745-4_7.

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Manieri, Lucrezia. "Control of Large-Scale MLD Systems via Multi-agent Reformulation and Decentralized Optimization." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80268-3_9.

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Abstract Motivated by the challenges emerging in the energy sector, this brief presents a comprehensive framework for the optimal operation of large-scale Mixed Logical Dynamical (MLD) systems modeling engineering systems characterized by interleaved physical, logical, and digital components and subject to operational constraints. When the performance index is linear, the problem translates into a Mixed Integer Linear Program (MILP) that is NP-hard and becomes prohibitive as the size of the system increases. In the case of multi-agent systems that are constraint-coupled, decentralized schemes
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Conference papers on the topic "Constrained recovery"

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Hege, E. Keith. "Psf calibration in astronomical imaging - physical constraints for a noisy problem." In Signal Recovery and Synthesis. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/srs.1998.stua.1.

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Physically constrained iterative deconvolution attempts to realize the solution of an ill-posed problem, the iterative estimation of both the object function and the corresponding set of image point- spread-functions given a set of noisy realizations of images obtained with less than perfect optical imaging systems. Conjugate gradient-driven iterative estimation is used with physical constraints to guide the result to a physically consistent solution. The Art of using physically constrained iterative deconvolution in astronomical imaging, with and without adaptive optics, is discussed.
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Hege, E. K., M. Cheselka, M. Lloyd-Hart, et al. "Astronomical Results using Physically-Constrained Iterative Deconvolution." In Signal Recovery and Synthesis. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/srs.1998.stub.3.

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Iterative physical deconvolution is used for point spread function (psf) calibration of a wide range of astronomical imagery obtained in visible (CCD) through near- and mid-infrared (NICMOS and MIRAC) wavelengths. Psf complications, ranging from those of uncorrected speckle images at large telescopes to those of contemporary high-performance adaptive optics, are accomodated by this algorithm which makes use of a priori physical information about the imaging system. Examples of diffraction-limited and “super-resolved” results are presented for a variety of different astronomical objects.
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Fienup, J. R., and J. E. Van Buhler. "Support-Constrained Motion-Artifact Correction for Magnetic Resonance Imaging." In Signal Recovery and Synthesis. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/srs.1995.rtua4.

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Motion during the collection of a magnetic resonance imaging (MRI) data set causes phase errors which result in a smearing or ghosting of the image. In this paper we present a new algorithm for correcting translational motion errors. It follows the same philosophy as the gradient search approaches that we invented to determine the aberrations of the Hubble Space Telescope [1] and to correct phase errors for synthetic-aperture radar [2].
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Christou, Julian C., E. Keith Hege, Stuart M. Jefferies, and Matt Cheselka. "Space Object Identification using a Physically Constrained Iterative Deconvolution Algorithm." In Signal Recovery and Synthesis. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/srs.1998.stub.2.

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A physically constrained iterative deconvolution algorithm is applied to both simulated and real artificial satellite (space object) observations obtained with adaptive optical systems. The problems associated with obtaining good point spread function information is discussed and the algorithm applied also permits reconstruction of not only the object but also the corresponding point spread functions.
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Mammone, R. J., and R. J. Rothacker. "Two dimensional image restoration using Linear Programming." In Signal Recovery and Synthesis. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/srs.1986.wa3.

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In this paper we address the issues involved in implementing the Linear Programming (LP) method of image restoration in two dimensions. A modified pivot strategy is introduced in order to reduce the number of iterations. This approach is necessary due to the number of arithmetic operations required per iteration for two dimensional data. We shall also discuss the effects of additive noise, such as that due to quantization. The effects of noise on the performance of restorations with both separable and nonseparable degradations will be presented. The performance of the LP approach has previousl
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Malaret, Erick, and Clare D. McGillem. "A New Technique for Constrained Image Restoration by Compensating the PSF." In Signal Recovery and Synthesis. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/srs.1986.wa4.

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The idea behind the method of constrained image restoration by compensating the point spread function (PSF) is to obtain a restoration filter such that when it is convolved with the PSF the resulting function, called the composite point spread function (CPSF), satisfies appropriate optimization criteria. Ideally it would be desirable to obtain a CPSF that is a delta function; i.e., the restoration filter would be the inverse filter. However this is not possible due to the instability and serious noise amplification of such filters. Stable filters using this approach can be obtained by minimizi
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Chester, Shawn A., Vikas Srivastava, Claudio V. Di Leo, and Lallit Anand. "A Large-Deformation Theory for Thermally-Actuated Shape-Memory Polymers and its Application." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37383.

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The most common shape-memory polymers are those in which the shape-recovery is thermally-induced. A body made from such a material may be subjected to large deformations at an elevated temperature above its glass transition temperature &amp;Vthgr;g. Cooling the deformed body to a temperature below &amp;Vthgr;g under active kinematical constraints fixes the deformed shape of the body. The original shape of the body may be recovered if the material is heated back to a temperature above &amp;Vthgr;g without the kinematical constraints. This phenomenon is known as the shape-memory effect. If the s
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Matson, Charles L., and Alim Haji. "Noise reduction in support-constrained multi-frame blind- deconvolution restorations as a function of the number of data frames and the support constraint sizes." In Signal Recovery and Synthesis. OSA, 2007. http://dx.doi.org/10.1364/srs.2007.smb2.

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Kawata, S., O. Nakamura, and S. Minami. "Spatially Constrained 3-D Reconstruction from Limited-Angle Projections in Optical Microscope Tomography." In Signal Recovery and Synthesis. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/srs.1986.thd4.

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In earlier work, we invented a principle of optical microscope tomography and developed a prototype system to achieve tomographic microscope imaging of three-dimensional specimens [1,2]. In this paper we describe the principle of optical microscope tomography and the algorithm to reconstruct the 3-D distribution of the sample from the obtained images. Since the system is angularly band-limited, we have to constrain the inverse equation of the system by some a priori information to lead to a unique solution. We use the information of the knowledge of the spatial outer boundary of the object to
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Mukherjee, S., and R. T. Johns. "Relative Permeability Modeling for CO2 Storage Using Physically Constrained Artificial Neural Networks." In SPE Improved Oil Recovery Conference. SPE, 2024. http://dx.doi.org/10.2118/218160-ms.

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Abstract Injection of CO2 into saline formations is regarded as a promising tool to reduce atmospheric emissions. Although often overlooked, one of the key parameters that governs the flow and transport of the plumes is relative permeability. Relative permeability curves are generally measured sparingly, assumed fixed once measured, and/or altered significantly as a history match parameter to fit injection and production data even though relative permeability has a physical significance and is dynamic within a reservoir. We use limited field data to develop an artificial neural network (ANN) m
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Reports on the topic "Constrained recovery"

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Asiri, Fiasal, Jaya Tedla, and Kumar Gular. Modified constrained-induced movement therapy on upper extremity functions in post stroke survivors at various recovery stages and rehabilitation settings. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.10.0007.

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Millán, Jaime. Power Sector Reform in Latin America: Accomplishments, Failures and Challenges. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0008887.

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In this technical paper, the author addresses pertinent issues that affect reform in the power sector and the status of current efforts. The objective of the paper is such: 1) It explains the difficulties in achieving a separation of the roles of the State in an environment in which it continues to play an important role as entrepreneur, and the difficulties of providing adequate regulation in an institutional and resource-constrained environment; 2) It discusses the stranded costs arising from the impossibility of following the correct sequence of reforms and the constraints imposed by this f
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Nazneen, Sohela, Raihan Ahamed, Syeda Salina Aziz, et al. Being New Poor in Bangladesh: Coping Strategies, Constraints, and Trajectories. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ids.2024.012.

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Recent studies of the Covid-19 pandemic have found that millions in Bangladesh fell into poverty during this time, and they were unable to recover to their pre-pandemic economic position. This study draws on qualitative panel data collected from 39 new-poor households in Khulna, coping with pandemic-induced shocks and attempting to come out of poverty. How are the new poor attempting to recover: what strategies are they using and what constraints do they face? What are the implications for governance of their efforts? Based on their pre-pandemic economic conditions, we divide these new-poor ho
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Price, Roz. Informality and Marginalised Groups in Crisis Response. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/core.2023.002.

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The Covid-19 pandemic had ripple effects that extend beyond the domain of health risks into economic, social, and political domains. These effects were not evenly distributed and exacerbated existing societal inequalities and marginalisation (UNDRR and UNU-EHS 2022: 11). Informal and migrant workers, and those living in informal settlements, were disproportionately affected by the health and secondary impacts of the pandemic, which further impacted their livelihoods and ability to meet basic needs, and constrained their ability to recover given the coping mechanisms they had to adopt (Chen et
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Beal, Samuel, and Matthew Bigl. Particle size characteristics of energetic materials distributed from low-order functioning mortar munitions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49189.

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Particles of explosive filler distributed from low-order (LO) munition functioning are susceptible to dissolution and potential mobilization into groundwater and surface water. We command-initiated three mortar munitions as LO in triplicate using a fuze simulator and recovered particles from an ice surface to constrain LO particle characteristics. Total explosive mass recovery (19–55%) and spatial distribution (0-&gt;20 m) varied significantly both between munitions and between replicate LOs of the same munition. The median particle size (0.27–3.99 mm) varied with total mass recovery. In gener
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Bédard, K., A. Marsh, M. Hillier, and Y. Music. 3D geological model of the Western Canadian Sedimentary Basin in Saskatchewan, Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331747.

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The Western Canadian Sedimentary Basin (WCSB) covers a large part of southern Saskatchewan and hosts many resources such as critical mineral deposits (i.e. potash, helium and lithium) as well as oil and gas reservoirs and is also targeted for deep CO2 storage projects. There is also growing interest in the groundwater resources, the geothermal potential and hydrogen recovery potential. These applications require knowledge of the subsurface geology such as formation thickness and depth, relationships with adjacent formations or unconformities and ultimately, distribution of physical properties
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Becker, Matthew W. Recover Act. Verification of Geothermal Tracer Methods in Highly Constrained Field Experiments. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1131417.

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Ahairwe, Pamella Eunice. The EIB Group Climate Bank Roadmap 2021-2025: What does it mean for developing countries? European Centre for Development Policy Management, 2021. http://dx.doi.org/10.55317/casc013.

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The decade ahead is a critical one for long-term global sustainability. It presents an indispensable opportunity for the world to stimulate a recovery from COVID-19 while addressing the climate crisis. For developing countries with limited fiscal space, which has been constrained further by the pandemic, addressing the climate catastrophe requires ample external financial support. Mandated by the European Commission, the European Investment Bank (EIB) provides finance to developing countries to help them address climate change, while fostering the EU’s external objectives. It has launched ambi
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Ferguson, Thomas, and Servaas Storm. Myth and Reality in the Great Inflation Debate: Supply Shocks and Wealth Effects in a Multipolar World Economy. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp196.

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This paper critically evaluates debates over the causes of U.S. inflation. We first show that claims that the Biden stimulus was the major cause of inflation are mistaken: the key data series – stimulus spending and inflation – move dramatically out of phase. While the first ebbs quickly, the second persistently surges. We then look at alternative explanations of the price rises. We assess four supply side factors: imports, energy prices, rises in corporate profit margins, and COVID. We argue that discussions of COVID’s impact have thus far only tangentially acknowledged the pandemic’s far-rea
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Mooney, Henry, David Rosenblatt, Cloe Ortiz de Mendívil, et al. Caribbean Quarterly Bulletin: Volume 10: Issue 2, August 2021. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003573.

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For more than a year, the Caribbean economics team at the Inter-American Development Bank (IDB) has focused on the potential implications of the COVID-19 pandemic for lives and livelihoods across the region. The pandemic is still with us, but there is hope that the cycles of lockdowns and containment measures will eventually come to an end as vaccination programs progress, even if unevenly, across the region. However, the availability of vaccine supply remains a concern, and the pandemic continues to pose a constraint for the recovery of key sectors such as tourism and local services sectors.
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