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	EE375 Lecture 13c: Numerical Optimization (Michael Dietze) View
	EE375 Lecture 13b: Numerical optimization by hand (Michael Dietze) View
	EE375 Lecture 13a: Intro to Numerical Maximum Likelihood (Michael Dietze) View
	EE375 Lecture 13d: Numerical Maximum Likelihood in R (Michael Dietze) View
	EE375 Lecture 24b: Constrained Optimization options (Michael Dietze) View
	EE375 Lecture 25c: Bayes applications (Michael Dietze) View
	EE375 Lesson 12c: Maximum Likelihood, Multiple Observations (Michael Dietze) View
	EE375 Lecture 15a: Uncertainty u0026 Sensitivity (Michael Dietze) View
	EE375 Lecture 22e: Gaussian Plume Application (Michael Dietze) View
	[W2-4] convergence rate of smooth convex functions (Se Young Yun) View