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Lecture
Bisection Method: Nonlinear Equations
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Numerical Analysis: Nonlinear Equations
Explores the numerical analysis of nonlinear equations, focusing on convergence criteria and methods like bisection and fixed-point iteration.
Numerical Methods: Bisection and Multidimensional Arrays
Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.
Bisection Method: Zero Finding
Covers the bisection method for finding zeros of continuous functions.
Bisection Method: Proposition and Demonstration
Covers the bisection method proposition and its demonstration for finding roots.
Numerical Analysis: Nonlinear Equations
Covers algorithms for solving mathematical problems approximately using a computer, including nonlinear equations and numerical approximation methods.
Nonlinear Equations: Methods and Applications
Covers methods for solving nonlinear equations, including bisection and Newton-Raphson methods, with a focus on convergence and error criteria.
Nonlinear Equations: Bisection Method
Introduces root finding using the bisection method for nonlinear equations, illustrated with a three-tanks system example.
Newton Method: Data Interpolation
Covers the Newton method for finding zeros of functions using data interpolation.
Nonlinear Equation Resolution: Introduction to Bisection Method
Introduces the bisection method for resolving nonlinear equations using numerical techniques and Python programming.
Bisection, Stop Criteria
Explains the bisection method for nonlinear equations and how to determine stop criteria.