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Euler scheme for approximation of solution of nonlinear ODEs under inexact information.

, , и . CoRR, (2022)

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Pawel Urbanski

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Benchmarking Deep Learning for Time Series: Challenges and Directions., , , , , и . IEEE BigData, стр. 5679-5682. IEEE, (2019)Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme., , и . CoRR, (2021)Optimal pointwise approximation of SDE's from inexact information., и . J. Comput. Appl. Math., (2017)On mathematical aspects of evolution of dislocation density in metallic materials., , , , , , , и . CoRR, (2020)Euler scheme for approximation of solution of nonlinear ODEs under inexact information., , и . CoRR, (2022)Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information., и . CoRR, (2019)On Aggregation of Stages in Multi-criteria Optimization of Chain Structured Processes., , , , и . ICAISC (1), том 9692 из Lecture Notes in Computer Science, стр. 411-419. Springer, (2016)Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information., и . J. Comput. Appl. Math., (2021)Intelligent Predictive Maintenance System., , , и . IntelliSys (1), том 15 из Lecture Notes in Networks and Systems, стр. 794-804. Springer, (2016)Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs., , , , и . Appl. Math. Comput., (2024)