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Based on the theory of set-valued analysis, a new suite of numerical methods is developed, producing efficient and reliable solvers for numerous problems in nonlinear analysis.
Use of numerical methods.
Appendix C: Summary of Numerical Methods.
Understanding advantages, disadvantages, and practical limits of numerical methods.
Fundamentals of numerical methods applied to physical systems.
Implementation of numerical methods in MATLAB programming assignments.
Emphasis is on analysis of numerical methods for accuracy, stability, and convergence.
Discussion of numerical methods in the context of machine learning and data analysis problems.
Survey course of numerical methods prominent in modern data analysis and machine learning.
Analysis of numerical methods with respect to stability, accuracy, and error behavior.
Further progress is dependent on advancement of numerical methods capable of meeting these challenges.
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