Lectures related to Secant method

Covers root-finding methods, focusing on the bisection and secant techniques, their implementations, and comparisons of their convergence rates.

Covers coordinate descent, a method for optimizing functions by updating one coordinate at a time.

Discusses the Taylor series and secant method, focusing on their applications in numerical analysis and root-finding techniques.

Explores iterative methods for solving nonlinear equations, discussing convergence properties and implementation details.

Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.

Explores the convergence of fixed point methods and the implications of different convergence rates.

Covers numerical methods for finding roots, including secant, Newton, and fixed point iteration techniques.

Explores bisection and Regula Falsi bracketing methods for finding roots.

Covers the Bisection Method and Newton Method for solving nonlinear equations using interval splitting and tangent lines.

Covers numerical methods for root finding, focusing on the secant and Newton's methods.

Covers exam-like problems on nonlinear equations, ODEs, and numerical methods.

Explores the Conjugate Gradient method for solving linear systems and introduces Quasi-Newton methods and rank 2 updates.

Covers the convergence of Newton's method and its applications in numerical analysis.

Covers optimization without constraints using the gradient method to find the function's minimum.

Explains the Euler progressive scheme, its advantages, disadvantages, and stability in approximating values.

Introduces Quasi-Newton methods for optimization, explaining their advantages over traditional approaches like Gradient Descent and Newton's Method.

Covers the implementation of numerical methods in MATLAB for solving chemical problems.

Covers the bisection method for finding zeros of nonlinear functions.

Explores the Newton method for root finding and its convergence analysis, including the modified Newton method.