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Covers the correction of the simple curve definition and the importance of orientation in mathematical analysis.
Covers the expansion of function values and calls, and the relationship between functions and methods.
Explores higher-order functions and lambda expressions in Python, showcasing their practical applications and concise syntax.
Covers advanced Matlab programming topics such as cell arrays, 3D surfaces, and interpolation.
Explores locally Lipschitz functions, discussing differentiability, unique solutions, and function reduction.
Covers the basics of functional programming in Scala, including evaluation strategies, conditionals, and value definitions, with a focus on computing square roots with Newton's method.
Explores type inference in statically typed languages, using algorithms to assign types to program expressions accurately.
