Konsep Metode Bagi Dua (Bisection Method)

Dedik Tutorial
26 Sept 202121:19

Summary

TLDRThis video explains the Bisection Method, a numerical technique for finding the roots of continuous functions. The method operates by repeatedly halving an interval where the function values at the endpoints have opposite signs, ensuring a root lies between them. Through iterative steps, the interval is refined until the solution meets a predefined tolerance level. The process is demonstrated with a sample problem, showcasing how the method works and how to implement it using computational tools like Matlab. The video provides a clear, practical guide to understanding and applying the Bisection Method for numerical solutions.

Takeaways

  • 😀 The Bisection Method is a numerical technique used to find the root of a continuous function, where the function crosses the x-axis (f(x) = 0).
  • 😀 The method works by repeatedly narrowing down an interval [a, b], where f(a) and f(b) have opposite signs, indicating the presence of a root within the interval.
  • 😀 The process starts by dividing the interval into two parts and selecting the midpoint as a potential solution (X). The interval is then adjusted based on the sign of the function at the midpoint.
  • 😀 The method continues iterating, halving the interval each time, until the difference between the midpoint and the previous value is smaller than the specified tolerance (e.g., 0.01).
  • 😀 The Bisection Method requires that the function be continuous, and the signs of the function values at the endpoints of the interval must be different (f(a) * f(b) < 0).
  • 😀 If the function values at the midpoint are positive, the interval is shifted to the left; if negative, the interval is shifted to the right.
  • 😀 The goal is to get a value of X such that the function value f(X) is as close as possible to zero, within the specified tolerance limit.
  • 😀 The method is simple, reliable, and guarantees convergence if the initial interval contains a root, but it may require many iterations to achieve a high level of precision.
  • 😀 A practical example was given, where the Bisection Method was applied to the function x^3 - 7x^2 + 14x - 6, with a tolerance of 0.01, to find the root within the interval [0, 1].
  • 😀 The Bisection Method can be implemented programmatically, with step-by-step calculations of function values and iterative narrowing of intervals, often using software like MATLAB.
The video is abnormal, and we are working hard to fix it.
Please replace the link and try again.

Outlines

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Mindmap

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Keywords

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Highlights

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Transcripts

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now
Rate This

5.0 / 5 (0 votes)

Related Tags
Bisection MethodNumerical SolutionsMatlabRoot FindingMathematicsAlgorithmProgrammingContinuous FunctionsTolerancesIterative ProcessEngineering