Content: Constrained and unconstrained optimization problems, optimality conditions, algorithms
Requirements: multi-dimensional differential calculus
Content: Nonlinear superposition operators, fixed point theorems, nonlinear ordinary differential equations and partial differential equations
Requirements: metric spaces, measure theory, multi-dimensional analysis and integration, basics of functional analysis, Sobolev spaces and weak solutions of elliptic partial differential equations.
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