Solving Equations: Newton's Method

Related lectures (29)

Page 2 of 3

Covers optimization methods without constraints, including gradient and line search in the quadratic case.

Covers the integration of limit expansions and continuous functions by pieces.

Covers the semester project on numerics, focusing on adaptive algorithms and multistep methods.

Covers Euler and Crank-Nicolson methods for solving differential equations.

Explores limits of recursive sequences, convergence, boundedness, and algebraic operations related to limits at infinity.

Explores unconfined flow analysis in geomechanics, emphasizing iterative solution methods and boundary condition considerations.

Covers projected gradient descent with a focus on quadratic penalty and optimality conditions.

Explores the Newton method for systems and fixed point iterations, discussing convergence and properties.

Covers non-convex optimization techniques and their applications in machine learning.

Covers implicit schemes in numerical analysis for solving partial differential equations.