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Optimal Control Theory: Basics
Covers the fundamentals of optimal control theory, focusing on defining OCPs, existence of solutions, performance criteria, physical constraints, and the principle of optimality.
Directional Derivatives: Definition and Applications
Explains the concept of directional derivatives and their applications in differentiating functions.
Descent methods and line search: First Wolfe condition
Introduces the First Wolfe condition to ensure a proportional decrease in the objective function relative to the step length.
Gradient: Scalar Field
Explores gradient in scalar fields, directional derivatives, and level sets.
Tangent Planes and Derivatives
Explores directional derivatives, tangent planes, and normal vectors in surfaces.
Surjectivity of Derivative Application
Covers the surjectivity of the derivative application for continuous functions on closed intervals.
Exact Fields, Direct Methods, Sobolev Spaces
Covers Hilbert's theorem, direct methods, and Sobolev spaces, including classical and modern methods.
Fundamental Solutions
Explores fundamental solutions in partial differential equations, highlighting their significance in mathematical applications.
Advanced Analysis II: Hessians and Directional Derivatives
Explores Hessians, directional derivatives, and function continuity in advanced analysis.
Objective function, Differentiability, the first order
Covers directional derivative, differentiability, and gradient matrices, emphasizing the first order.