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Lecture
Bisection, Stop Criteria
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Related lectures (30)
Bisection Method: Nonlinear Equations
Covers the bisection method for finding zeros of nonlinear functions.
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.
Bracketing Methods: Bisection and Regula Falsi
Explores bisection and Regula Falsi bracketing methods for finding roots.
Nonlinear Equations: Bisection Method
Introduces root finding using the bisection method for nonlinear equations, illustrated with a three-tanks system example.
Bisection Method: Example
Focuses on using the bisection method to approximate function roots with precision.
Bisection Method: Proposition and Demonstration
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Covers the bisection method proposition and its demonstration for finding roots.
Bisection Method, Newton Method
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Covers the Bisection Method and Newton Method for solving nonlinear equations using interval splitting and tangent lines.
Non-linear Equations: Dichotomy Method
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Explores non-linear equations using the dichotomy method for finding zeros with tolerance.
Root Finding Methods: Bisection and Secant Techniques
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Covers root-finding methods, focusing on the bisection and secant techniques, their implementations, and comparisons of their convergence rates.
Taylor Series and Secant Method: Numerical Analysis Techniques
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Discusses the Taylor series and secant method, focusing on their applications in numerical analysis and root-finding techniques.
Numerical Methods: Bisection and Multidimensional Arrays
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Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.
Bisection Method: Iterative Search for Zeros
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Covers the bisection method for finding zeros of continuous functions through iterative narrowing of intervals.
Numerical Analysis: Nonlinear Equations
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Covers algorithms for solving mathematical problems approximately using a computer, including nonlinear equations and numerical approximation methods.
Numerical Analysis: Nonlinear Equations
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Explores the numerical analysis of nonlinear equations, focusing on convergence criteria and methods like bisection and fixed-point iteration.
Root Finding Methods: Secant, Newton, and Fixed Point Iteration
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Covers numerical methods for finding roots, including secant, Newton, and fixed point iteration techniques.
Bisection Method: Approximating Zeros of Functions
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Covers the bisection method for approximating zeros of functions, discussing advantages, disadvantages, and an alternative approach for faster convergence.
Bisection Method: Solving Non-linear Equations
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Explores the bisection method for solving non-linear equations with a focus on error control and MATLAB implementation.
Non-linear Equations: Bisection Method
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Explores solving non-linear equations using the bisection method iteratively.
Nonlinear Equations: Bisection Method
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Covers the bisection method for solving nonlinear equations with continuous functions and root finding examples in diode circuits.
Bisection Method: Zero Finding
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Covers the bisection method for finding zeros of continuous functions.
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