Academic literature on the topic 'Predictor corrector'

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Journal articles on the topic "Predictor corrector"

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Wang, Tao, Hongbo Zhang, and Guojian Tang. "Predictor-corrector guidance for entry vehicle based on fuzzy logic." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 2 (2017): 472–82. http://dx.doi.org/10.1177/0954410017737574.

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With the development of aerospace industry, the guidance system of an entry vehicle will be more robust, reliable and autonomous in the future. Based on fuzzy logic, the paper designs a predictor-corrector guidance law. The trajectory prediction is realized by numerical integration. The correction system is based on two fuzzy controllers, which correct the longitudinal motion and lateral motion synergistically. The error of flight range is eliminated by correcting the magnitude of bank angle. The altitude error is eliminated by correcting the attack angle. The lateral error is eliminated by re
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Zhong, Baojiang, Kai-Kuang Ma, and Zhifang Lu. "Predictor-corrector image interpolation." Journal of Visual Communication and Image Representation 61 (May 2019): 50–60. http://dx.doi.org/10.1016/j.jvcir.2019.03.018.

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van der Houwen, P. J., B. P. Sommeijer, and J. J. B. de Swart. "Parallel predictor-corrector methods." Journal of Computational and Applied Mathematics 66, no. 1-2 (1996): 53–71. http://dx.doi.org/10.1016/0377-0427(95)00158-1.

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Butcher, John C., and Pavla Sehnalová. "Predictor–corrector Obreshkov pairs." Computing 95, no. 5 (2013): 355–71. http://dx.doi.org/10.1007/s00607-012-0258-0.

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Shang, Dequan, and Xiaobin Guo. "Adams Predictor-Corrector Systems for Solving Fuzzy Differential Equations." Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/312328.

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A predictor-corrector algorithm and an improved predictor-corrector (IPC) algorithm based on Adams method are proposed to solve first-order differential equations with fuzzy initial condition. These algorithms are generated by updating the Adams predictor-corrector method and their convergence is also analyzed. Finally, the proposed methods are illustrated by solving an example.
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JOSHI, MARK, and ALEXANDER WIGUNA. "ACCELERATING PATHWISE GREEKS IN THE LIBOR MARKET MODEL." International Journal of Theoretical and Applied Finance 15, no. 02 (2012): 1250012. http://dx.doi.org/10.1142/s0219024912500124.

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In the framework of the displaced-diffusion LIBOR market model, we derive the pathwise adjoint method for the iterative predictor-corrector and one of the Glasserman–Zhao drift approximations in the spot measure. This allows us to compute fast deltas and vegas under these schemes. We compare the discretisation bias obtained when computing Greeks with these methods to those obtained under the log-Euler and predictor-corrector approximations by performing tests with interest rate caplets and cancellable receiver swaps. The two predictor-corrector type methods were the most accurate by far. In pa
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Dong, Ning, Jicheng Jin, and Bo Yu. "Convergence Rates of a Class of Predictor-Corrector Iterations for the Nonsymmetric Algebraic Riccati Equation Arising in Transport Theory." Advances in Applied Mathematics and Mechanics 9, no. 4 (2017): 944–63. http://dx.doi.org/10.4208/aamm.2015.m1277.

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AbstractIn this paper, we analyse the convergence rates of several different predictor-corrector iterations for computing the minimal positive solution of the nonsymmetric algebraic Riccati equation arising in transport theory. We have shown theoretically that the new predictor-corrector iteration given in [Numer. Linear Algebra Appl., 21 (2014), pp. 761–780] will converge no faster than the simple predictor-corrector iteration and the nonlinear block Jacobi predictor-corrector iteration. Moreover the last two have the same asymptotic convergence rate with the nonlinear block Gauss-Seidel iter
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Yang, Chao, Duo Li, Tao Zhu, and Shoune Xiao. "Assessment of numerical integration algorithms for nonlinear vibration of railway vehicles." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 231, no. 6 (2016): 729–39. http://dx.doi.org/10.1177/0954409716640825.

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The primary purpose of this paper was to choose appropriate time integration methods for the simulation of nonlinear railway vehicle systems. The nonlinear elements existing in railway vehicle systems were summarized, and the relevant mathematical expressions were provided. A newly developed integration method, which is the corrected explicit method of double time steps, was implemented in five typical nonlinear examples of nonlinear railway vehicle systems. The Newmark method, the Wilson-θ method, the Runge–Kutta method, the predictor-corrector Adams method, the Zhai method, and the precise i
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Kayode, S. J., F. O. Obarhua, and F. C. Ogedengbe. "Development and Implementation of Four-Step Predictor-Corrector Method with an Improvement Strategy for Fourth-Order Ordinary Differential Equations with Applications." Scholars Journal of Physics, Mathematics and Statistics 12, no. 04 (2025): 114–29. https://doi.org/10.36347/sjpms.2025.v12i04.005.

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This article focuses on the development, theoretical analysis, and implementation of a four-level predictor-corrector method with an improved strategy for solving fourth-order ordinary differential equations using initial conditions. When developing the method, Chebyshev polynomials of the first kind were adopted as the basis functions for solving the IVP. Chebyshev polynomials of the first kind were interpolated at some selected grid and off-grid points, and the fourth derivative of the approximate solution was collocated at all grid and off-grid points. The methods was derived and implemente
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Subhashini and B. Srividhya. "Comparison of Several Numerical Algorithms with the use of Predictor and Corrector for solving ode." International Journal of Trend in Scientific Research and Development 3, no. 6 (2019): 1057–60. https://doi.org/10.5281/zenodo.3589313.

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In this paper, we introduce various numerical methods for the solutions of ordinary differential equations and its application. We consider the Taylor series, Runge Kutta, Euler's methods problem to solve the Adam's Predictor, Corrector and Milne's Predictor, Corrector to get the exact solution and the approximate solution. Subhashini | Srividhya. B "Comparison of Several Numerical Algorithms with the use of Predictor and Corrector for solving ode" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issu
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Dissertations / Theses on the topic "Predictor corrector"

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Cowling, Adam Lloyd. "Pitch-Control Predictor-Corrector and Neural Network Ascent Guidance." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/32330.

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A pitch-control predictor-corrector ascent guidance algorithm has been developed and evaluated for a rocket-based upper stage of a two-stage-to-orbit launch vehicle. Detailed descriptions of the predictor-corrector algorithm and a neural network loop modification are given. The mission requirement is insertion into a stable 50 x 100 nmi orbit at 375,000 ft altitude, coasting toward apogee at a positive inertial flight path angle. Three degree-of-freedom trajectory analysis is performed using the Program to Optimize Simulated Trajectories (POST2). Results of Monte Carlo simulations includin
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Yang, Liming. "Parallel block predictor-corrector methods for the numerical solution of ODE's." Thesis, University of Ottawa (Canada), 1993. http://hdl.handle.net/10393/6802.

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Stability and efficiency (i.e. derivative function evaluations per processor) are the two main considerations in deriving good numerical methods for ODE's. The underlying challenge is to increase the stability region while maintaining or even improving efficiency. To achieve this, some extensions of predictor-corrector based methods, which apply a fixed number of corrector iterations, are considered. This thesis studies two particular members of a family of methods called the Parallel Block Predictor-Corrector Family, which are based on these extensions. These two members are called PBPC/2 and
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Rydberg, David. "GPU Predictor-Corrector Interior Point Method for Large-Scale Linear Programming." Thesis, KTH, Numerisk analys, NA, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168672.

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This master’s thesis concerns the implementation of a GPUaccelerated version of Mehrotra’s predictor-corrector interior point algorithm for large-scale linear programming (LP). The implementations are tested on LP problems arising in the financial industry, where there is high demand for faster LP solvers. The algorithm was implemented in C++, MATLAB and CUDA, using double precision for numerical stability. A performance comparison showed that the algorithm can be accelerated from 2x to 6x using an Nvidia GTX Titan Black GPU compared to using only an Intel Xeon E5-2630v2 CPU. The amount of mem
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Spratlin, Kenneth Milton. "An adaptive numeric predictor-corrector guidance algorithm for atmospheric entry vehicles." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/31006.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1987.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND AERONAUTICS.<br>Bibliography: p. 211-213.<br>by Kenneth Milton Spratlin.<br>M.S.
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Chen, Min. "An investigation of the parallel predictor-corrector class of methods for the solution of ode's." Thesis, University of Ottawa (Canada), 1989. http://hdl.handle.net/10393/5993.

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Haroz, Carla (Carla Shariz) 1974. "A predictor-corrector guidance algorithm design for a low L/D autonomous re-entry vehicle." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/31085.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, February 1999.<br>Includes bibliographical references (p. 171).<br>The Precision Landing Reusable Launch Vehicle (PL-RLV) is a low L/D, 2-stage craft with a mission plan that calls for low cost, speedy retrieval, and quick turn-around-times for successive flights. A guidance scheme that best adheres to these goals and captures the vehicle's capability is desired. During re-entry, the PL-RLV's second stage, the Precision Landing Vehicle 2 (PLV-2), will perform a reversal maneuver. This thesis concentrat
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Haasler, Isabel. "A predictor corrector method for a Finite ElementMethod for the variable density Navier-Stokes equations." Thesis, KTH, Numerisk analys, NA, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214837.

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Constructing Finite Element Methods for the incompressible Navier-Stokes equations that are computationally feasible requires the use of pressure segregation methods such as the predictor corrector scheme. From an algebraic point of view these methods correspond to a preconditioned Richardson iteration on the pressure Schur complement. In this work the theory is extended to a variable density model. We suggest a modified preconditioner and investigate its performance experimentally.<br>Konstruktion av Finita Elementmetoder för de inkompressibla Navier-Stokes ekvationer som är beräkningsmässigt
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Schindlbeck, Christopher [Verfasser]. "A Predictor-Corrector Framework for the Robot-Assisted and Automated Assembly of Optical Systems / Christopher Schindlbeck." Garbsen : TEWISS - Technik und Wissen GmbH, 2019. http://d-nb.info/120113515X/34.

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Lörcher, Frieder. "Predictor-corrector discontinuous galerkin schemes for the numerical solution of the compressible navier-stokes equations in complex domains." München Verl. Dr. Hut, 2009. http://d-nb.info/993731309/04.

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Suñagua, Salgado Porfirio 1963. "Uma nova abordagem para encontrar uma base do precondicionador separador para sistemas lineares no método de pontos interiores." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306744.

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Orientador: Aurelio Ribeiro Leite de Oliveira<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica<br>Made available in DSpace on 2018-08-24T06:40:02Z (GMT). No. of bitstreams: 1 SunaguaSalgado_Porfirio_D.pdf: 2121161 bytes, checksum: 6d961fd2da8ded7cbc0733d9f190497a (MD5) Previous issue date: 2014<br>Resumo: Uma abordagem do método preditor-corretor de Mehrotra para resolver problemas de programação linear de grande porte, que utiliza uma classe do precondicionador separador, para resolver sistemas lineares envolvidos por mét
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Books on the topic "Predictor corrector"

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C, Banks David, and Institute for Computer Applications in Science and Engineering., eds. A predictor-corrector scheme for vortex identification. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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C, Banks David, and Institute for Computer Applications in Science and Engineering., eds. A predictor-corrector scheme for vortex identification. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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C, Banks David, and Institute for Computer Applications in Science and Engineering., eds. A predictor-corrector scheme for vortex identification. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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A, Singer Bart, and Institute for Computer Applications in Science and Engineering., eds. A predictor-corrector technique for visualizing unsteady flow. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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Enenkel, Robert Frederick. Implementation of parallel predictor-corrector Runge-Kutta methods. University of Toronto, Dept. of Computer Science, 1988.

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A, Singer Bart, and Institute for Computer Applications in Science and Engineering., eds. A predictor-corrector technique for visualizing unsteady flow. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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A, Singer Bart, and Institute for Computer Applications in Science and Engineering., eds. A predictor-corrector technique for visualizing unsteady flow. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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United States. National Aeronautics and Space Administration., ed. An adaptive numeric predictor-corrector guidance algorithm for atmospheric entry vehicles. The Charles Stark Draper Laboratories, Inc., 1987.

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Center, Langley Research, ed. On the coupling of CDISC design method with FPX rotor code. National Aeronautics and Space Administration, Langley Research Center, 2000.

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Center, Langley Research, ed. On the coupling of CDISC design method with FPX rotor code. National Aeronautics and Space Administration, Langley Research Center, 2000.

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Book chapters on the topic "Predictor corrector"

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Bonnans, J. Frédéric, J. Charles Gilbert, Claude Lemaréchal, and Claudia A. Sagastizábal. "Predictor-Corrector Algorithms." In Universitext. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05078-1_19.

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Sun, Kehui, Shaobo He, and Huihai Wang. "Predictor–Corrector Algorithm." In Solution and Characteristic Analysis of Fractional-Order Chaotic Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3273-1_3.

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Pazira, Hassan. "Improved Predictor-Corrector Algorithm." In Computational Intelligence Methods for Bioinformatics and Biostatistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34585-3_9.

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Allgower, Eugene L., and Kurt Georg. "Predictor-Corrector Methods Using Updating." In Numerical Continuation Methods. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-61257-2_7.

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Kordulla, W. "Using an Unfactored Implicit Predictor-Corrector Method." In Numerical Simulation of Compressible Navier-Stokes Flows. Vieweg+Teubner Verlag, 1987. http://dx.doi.org/10.1007/978-3-322-87873-1_10.

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Grigat, Ernst, and Gottfried Sachs. "Predictor-Corrector Continuation Method for Optimal Control Problems." In Variational Calculus, Optimal Control and Applications. Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8802-8_22.

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Nesky, Amy, and Quentin F. Stout. "Training Neural Networks Using Predictor-Corrector Gradient Descent." In Artificial Neural Networks and Machine Learning – ICANN 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01424-7_7.

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Kozlinskaya, T., and V. Kovenya. "The Predictor–Corrector Method for Solving of Magnetohydrodynamic Problems." In Hyperbolic Problems: Theory, Numerics, Applications. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75712-2_62.

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van der Houwen, P. J., and B. P. Sommeijer. "Smoothed Predictor-Corrector Methods for Solving Partial Differential Equations." In Numerical Mathematics Singapore 1988. Birkhäuser Basel, 1988. http://dx.doi.org/10.1007/978-3-0348-6303-2_17.

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Campoli, L., P. Quemar, A. Bonfiglioli, and M. Ricchiuto. "Shock-Fitting and Predictor-Corrector Explicit ALE Residual Distribution." In Shock Wave and High Pressure Phenomena. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68427-7_5.

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Conference papers on the topic "Predictor corrector"

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Tang, Bo, Youmin Gong, Jie Mei, Yanning Guo, Guangfu Ma, and Weiren Wu. "An Improved DeepONet Framework to Reduce Computational Demand in Predictor-Corrector Guidance." In IAF Astrodynamics Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078368-0048.

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Liu, Tianchen, Kushal Chakrabarti, and Nikhil Chopra. "Variant Predictor-Corrector Method for Linear Predictive Control Using Modified Uzawa Algorithm." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10885911.

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Sato, Takahiro. "A Coupled Analysis of Nonlinear Vibration Energy Harvester Based on Predictor-Corrector Approach." In 2024 27th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2024. https://doi.org/10.23919/icems60997.2024.10921465.

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Luo, Zhixian, Yanmin Jin, and Xiaohua Tong. "A constant bank angle-based two-stage predictor-corrector method for Mars atmospheric entry." In Second International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), edited by Bin Zou and Yaoping Cui. SPIE, 2024. http://dx.doi.org/10.1117/12.3048865.

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Paul, Subho, Krishna Murari, Narayana Prasad Padhy, and Sukumar Kamalasadan. "Predictor-Corrector Accelerated ADMM Method for the SOCP-Relaxed AC-DC Optimal Power Flow." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688609.

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McMahon, Jay W., Davide Amato, Donald Kuettel, and Melis J. Grace. "Stochastic Predictor-Corrector Guidance." In AIAA SCITECH 2022 Forum. American Institute of Aeronautics and Astronautics, 2022. http://dx.doi.org/10.2514/6.2022-1771.

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Lu, Ping, and Songbai Xue. "Constrained Predictor-Corrector Entry Guidance." In AIAA Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-5767.

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Han, Jingzhuang, Lingyu Yang, Zenghui Zhang, and Gongzhang Shen. "Predictor-corrector guidance based on optimization." In 2011 International Conference on Electronics, Communications and Control. IEEE, 2011. http://dx.doi.org/10.1109/icecc.2011.6066572.

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KORDULLA, W. "Using an unfactored predictor-corrector method." In 25th AIAA Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-423.

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Brugnano, Luigi, Gianmarco Gurioli, and Felice Iavernaro. "Predictor-corrector implementation of EQUIP methods." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5043769.

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Reports on the topic "Predictor corrector"

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Rider, William J., Edward Love, and Guglielmo Scovazzi. Algorithmic properties of the midpoint predictor-corrector time integrator. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/983698.

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Tapia, R. A., Yin Zhang, M. Saltzman, and A. Weiser. The Mehrotra Predictor-Corrector Interior-Point Method as a Perturbed Composite Newton Method. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada453102.

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Klausmeier. L51483 Evaluation of EPA Method 20 Ambient Correction Procedure. Pipeline Research Council International, Inc. (PRCI), 1985. http://dx.doi.org/10.55274/r0010652.

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Addresses the effects of the current EPA Method 20 correction factors on predicted NOx levels vs. actual observed NOx emissions based upon data from some 800 engine field test data sets. The report demonstrates that correction procedure to the 85 degrees F / 75 grains of water per pound of dry air standard introduces considerable over-prediction and presents a case for the elimination of the procedure or at a minimum a modification to permit regional correction factors. The data sets are displayed in Appendix of some 200 p.
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Walker, J. L., C. M. Rose, S. C. Armstrong, and J. C. Burton. Correct use of cone penetrometer sensors to predict subsurface conditions. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/642676.

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Bobba, Matteo, and Decio Coviello. Weak instruments and weak identification in estimating the effects of education on democracy. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0010847.

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Is there any relation between education and democracy? Once we correct for weak instruments and identify education as "weakly exogenous" we find new evidence that education systematically predicts democracy. Our results are robust across model specification, instrumentation strategies, and samples.
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O'Neill, Clare, Andy Saulter, Christopher Stokes, and Breogán Gómez. Application of bias correction to the Met Office operational storm surge forecast. Met Office, 2025. https://doi.org/10.62998/tymo5223.

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The Met Office runs an operational storm surge forecast system for the UK based on a 7 km configuration of NEMO forced by wind and air pressure from Met Office global atmosphere forecasts. The water level forecast comprises the surge residual from the model added to the harmonic tide prediction derived from observations. A new automated bias correction has been added to the system to improve forecast performance. The correction has 3 components: a mean sea level correction to account for different mean sea levels in the forced and unforced model runs, a monthly correction to account for the at
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Glass, Samuel V., Samuel L. Zelinka, Charles R. Boardman, and Emil Engelund Thybring. Promoting advances in understanding water vapor sorption in wood: relegating popular models and misconceptions. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541615744.

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Water vapor sorption is a fundamental characteristic of wood as a building material. Apart from empirical prediction, models are often used to interpret the time-dependent process of water vapor uptake (sorption kinetics) and equilibrium states of water in wood (sorption isotherms). This paper summarizes our recent investigations into measurement methods and popular models that are widely used for interpreting these physical phenomena. Commonly used criteria for determining equilibrium moisture content with the dynamic vapor sorption technique yield much larger errors than previously thought.
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Lunsford, Kurt G. Business Cycles and Low-Frequency Fluctuations in the US Unemployment Rate. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202319.

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I show that business cycles can generate most of the low-frequency movements in the unemployment rate. First, I provide evidence that the unemployment rate is stationary, while its flows have unit roots. Then, I model the log unemployment rate as the error correction term of log labor flows in a vector error correction model (VECM) with intercepts that change over the business cycle. Feeding historical expansions and recessions into the VECM generates large low-frequency movements in the unemployment rate. Frequent recessions from the late 1960s to the early 1980s interrupt labor market recove
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Yu, Y. S. Capabilities, limitations and the use of the GEOROC computer package. Natural Resources Canada/CMSS/Information Management, 1987. http://dx.doi.org/10.4095/325534.

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Computer codes have been used by various researchers in modelling viscoelastic formations, with a good degree of success. Serata used a complex rheological model, REM (Rheological Element Model) code, to simulate mine openings [2]. Others, in the U.S. Nuclear Waste Isolation Programme, have evaluated the capability of various codes for the design of nuclear waste repository [3]. Because of the proprietary nature of the above codes, they are not available to mine operators in Canada. Consequently, in 1984, CANMET initiated a research project to develop a numerical modelling package for use in t
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Koduru, Smitha, and Jason Skow. PR-244-153719-R01 Quantification of ILI Sizing Uncertainties and Improving Correction Factors. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011518.

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Operators routinely perform verification digs to assess whether an inline inspection (ILI) tool meets the performance specified by the ILI vendors. Characterizing the actual ILI tool performance using available field and ILI data is a difficult problem due to uncertainties associated with measurements and geometric classification of features. The focus of this project is to use existing ILI and excavation data to develop better approaches for assessing ILI tool performance. For corrosion features, operators are primarily interested in quantifying magnetic flux leakage (MFL) ILI tool sizing err
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