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Newton root iteration · Number whose root is sought A=15; Positive starting guess b=7.5

Perform exactly n=4 updates. Find x₄, its equation residual x₄²−A, and its absolute error relative to √A. Givens: Number whose root is sought A=15; Positive starting guess b=7.5.

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01 · Make a prediction

Your practice question

Seek the positive root of x²=15 using Newton's method with starting estimate x₀=7.5. Perform exactly n=4 updates. Find x₄, its equation residual x₄²−A, and its absolute error relative to √A.

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02 · Explore the model

See the mathematical relationship move.

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Watch the relationship

Paused
Newton root iteration · Number whose root is sought A=15; Positive starting guess b=7.5. Iteration: 0. Root estimate: 7.5. Residual x²−A: 41.25. Absolute root error: 3.627A positive-root iteration07.503.57root estimateiteration n → · labeled axes rescale to this model
A≥1 and the initial guess is positive, so division by zero is avoided and the positive root is selected. The displayed iterates use the analytic Newton formula. This safe example does not establish convergence from arbitrary starts for arbitrary functions.

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Make it your experiment

Change one value. Notice what follows.

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Iteration
0
Root estimate
7.5
Residual x²−A
41.25
Absolute root error
3.627

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From experiment to screen.

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The mathematical idea

Newton's method linearizes a nonlinear equation at the current estimate. For x²=A and a positive guess, the update averages x with A/x. The residual and the error in the root are related but not identical, so both are tracked rather than treating either one as the other. Seek the positive root of x²=15 using Newton's method with starting estimate x₀=7.5. Perform exactly n=4 updates. The requested state occurs at 60% playback; use the exact target stated in the question for your calculation.

xₙ₊₁=(xₙ+A/xₙ)/2; target √A

03 · Reflect and transfer

Explain what changes and why.

Why can a small residual and a small root error have different numerical sizes even for this safely convergent example?

This is a distinct guided scenario using a reusable mathematical model. Similar-looking diagrams can represent different given values and conclusions; they are not different mathematical theories.