Academic literature on the topic 'Pathwise optimization'

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Journal articles on the topic "Pathwise optimization"

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Friedman, Jerome, Trevor Hastie, Holger Höfling, and Robert Tibshirani. "Pathwise coordinate optimization." Annals of Applied Statistics 1, no. 2 (December 2007): 302–32. http://dx.doi.org/10.1214/07-aoas131.

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Desai, Vijay V., Vivek F. Farias, and Ciamac C. Moallemi. "Pathwise Optimization for Optimal Stopping Problems." Management Science 58, no. 12 (December 2012): 2292–308. http://dx.doi.org/10.1287/mnsc.1120.1551.

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Rogers, L. C. G. "Pathwise Stochastic Optimal Control." SIAM Journal on Control and Optimization 46, no. 3 (January 2007): 1116–32. http://dx.doi.org/10.1137/050642885.

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Pra, Paolo Dai, Giovanni B. Di Masi, and Barbara Trivellato. "Pathwise Optimality in Stochastic Control." SIAM Journal on Control and Optimization 39, no. 5 (January 2000): 1540–57. http://dx.doi.org/10.1137/s0363012998334778.

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Zhao, Tuo, Han Liu, and Tong Zhang. "Pathwise coordinate optimization for sparse learning: Algorithm and theory." Annals of Statistics 46, no. 1 (February 2018): 180–218. http://dx.doi.org/10.1214/17-aos1547.

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Davis, M. H. A., and M. P. Spathopoulos. "Pathwise Nonlinear Filtering for Nondegenerate Diffusions with Noise Correlation." SIAM Journal on Control and Optimization 25, no. 2 (March 1987): 260–78. http://dx.doi.org/10.1137/0325016.

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Jin, Xing, Dan Luo, and Xudong Zeng. "Dynamic Asset Allocation with Uncertain Jump Risks: A Pathwise Optimization Approach." Mathematics of Operations Research 43, no. 2 (May 2018): 347–76. http://dx.doi.org/10.1287/moor.2017.0854.

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Lin, Bingqing, Zhen Pang, and Jiming Jiang. "Fixed and Random Effects Selection by REML and Pathwise Coordinate Optimization." Journal of Computational and Graphical Statistics 22, no. 2 (April 2013): 341–55. http://dx.doi.org/10.1080/10618600.2012.681219.

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Prieto-Rumeau, Tomás, and Onésimo Hernández-Lerma. "Ergodic Control of Continuous-Time Markov Chains with Pathwise Constraints." SIAM Journal on Control and Optimization 47, no. 4 (January 2008): 1888–908. http://dx.doi.org/10.1137/060668857.

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Ai, Zidong. "Stabilization and optimization of linear systems via pathwise state-feedback impulsive control." Journal of the Franklin Institute 354, no. 3 (February 2017): 1637–57. http://dx.doi.org/10.1016/j.jfranklin.2016.12.005.

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Book chapters on the topic "Pathwise optimization"

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Ferreyra, G., and P. Sundar. "Pathwise Comparison of Arithmetric Brownian Motions and Log-normal Processes." In Stochastic Analysis, Control, Optimization and Applications, 541–46. Boston, MA: Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1784-8_32.

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Crisan, Dan, Alexander Lobbe, and Salvador Ortiz-Latorre. "Pathwise Approximations for the Solution of the Non-Linear Filtering Problem." In Stochastic Analysis, Filtering, and Stochastic Optimization, 79–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98519-6_4.

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"A Pathwise Algorithm for Covariance Selection." In Optimization for Machine Learning. The MIT Press, 2011. http://dx.doi.org/10.7551/mitpress/8996.003.0020.

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Conference papers on the topic "Pathwise optimization"

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Rakita, Daniel, Bilge Mutlu, and Michael Gleicher. "STAMPEDE: A Discrete-Optimization Method for Solving Pathwise-Inverse Kinematics." In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8793617.

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Li, Jiming, and Yuntao Qian. "Regularized Multinomial Regression Method for Hyperspectral Data Classification via Pathwise Coordinate Optimization." In 2009 Digital Image Computing: Techniques and Applications. IEEE, 2009. http://dx.doi.org/10.1109/dicta.2009.89.

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Ai, Zidong, and Zhendong Sun. "Stabilization and optimization of linear systems via pathwise state-feedback impulsive control." In 2016 35th Chinese Control Conference (CCC). IEEE, 2016. http://dx.doi.org/10.1109/chicc.2016.7553300.

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Li, Jiming, Yuntao Qian, and Sen Jia. "Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5654271.

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Kirk, Tanner, Richard Malak, and Raymundo Arroyave. "Computational Design of Compositionally Graded Alloys for Property Monotonicity." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22235.

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Abstract:
Abstract Compositionally graded alloys can realize multiple conflicting properties in the same part, but the formation of secondary phases can often lead to cracks or deleterious properties. In prior work, a computational methodology was presented that can design compositional gradients to avoid these phases at any temperature in high dimensions [1]. The methodology also optimizes paths for a specified cost function, but prior work only considered minimizing path length or maximizing obstacle clearance. In this work, a new cost function is presented to produce compositional paths with optimal property gradients. Specifically, monotonicity is presented as the optimal quality of a pathwise property gradient because monotonic property gradients can be transformed to nearly any form on the part by controlling deposition rate. The proposed cost function uses a metric for non-monotonicity to find the shortest path with monotonic properties and is shown to be compatible with optimal path planners. A synthetic case study examines the effect of a cost function parameter on the trade-off between length and monotonicity. The cost function is also demonstrated in the Fe-Co-Cr system to find a compositional path with monotonic gradients in Coefficient of Thermal Expansion (CTE). The deposition of the path on a hypothetical part is then planned subject to a maximum deposition rate and CTE gradient. Future work is proposed to extend the framework to optimize multiple properties at once and to incorporate Multi-Material Topology Optimization (MMTO) techniques into a complete design methodology for functionally graded metal parts.
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