
Bayes Theorem Calculator
Update a prior probability using two supplied likelihoods.
Open toolExtrapolate two estimates using a supplied refinement ratio and leading error order. Provide Coarse estimate A(h), Fine estimate A(h/r), Refinement ratio r to compute results directly in your browser. r must exceed 1 and p must be positive. Extrapolated value = fine + (fine−coarse)/(r^p−1). The method assumes the supplied estimates follow the stated leading-error model; overflow or numerically collapsed denominators are rejected. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
Enter the inputs, then select Calculate.
Result will appear here
The Richardson Extrapolation Calculator evaluates Coarse estimate A(h), Fine estimate A(h/r), Refinement ratio r in client-side JavaScript using the deterministic rule below and updates the output panel immediately without uploading data to a server.
Extrapolate two estimates using a supplied refinement ratio and leading error order.
r must exceed 1 and p must be positive. Extrapolated value = fine + (fine−coarse)/(r^p−1). The method assumes the supplied estimates follow the stated leading-error model; overflow or numerically collapsed denominators are rejected. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
Review the input parameters, allowed value ranges, and worked reference cases for the Richardson Extrapolation Calculator below before running your calculation.
| Parameter / Scenario | Default / Sample Value | Rule or Allowed Range | Output / Usage Note |
|---|---|---|---|
| Input: Coarse estimate A(h) | 1.2 | Range: -1000000000.0 to 1000000000.0 | Required workspace parameter |
| Input: Fine estimate A(h/r) | 1.1 | Range: -1000000000.0 to 1000000000.0 | Required workspace parameter |
| Input: Refinement ratio r | 2 | Range: 1.000000001 to 1000 | Required workspace parameter |
| Input: Leading error order p | 2 | Range: 1e-06 to 100 | Required workspace parameter |
| Worked Case 1: Baseline run (Coarse estimate A(h) = 1.2) | Preloaded / test values | Extrapolate two estimates using a supplied refinement ratio and leading error order | Coarse estimate A(h) = 1.2; Fine estimate A(h/r) = 1.1; Refinement ratio r = 2; Leading error order p = 2. Output: Extrapolated value: 1.06666666667; Correction from fine estimate: -0.0333333333333; Fine minus coarse: -0.1. |
| Worked Case 2: Comparison scenario (Comparison coarse estimate a(h) check) | Preloaded / test values | Extrapolate two estimates using a supplied refinement ratio and leading error order | Coarse estimate A(h) = 2; Fine estimate A(h/r) = 1.5; Refinement ratio r = 2; Leading error order p = 1. Output: Extrapolated value: 1; Correction from fine estimate: -0.5; Fine minus coarse: -0.5. |
Follow these three steps to configure Coarse estimate A(h), Fine estimate A(h/r), Refinement ratio r, verify unit and boundary rules, and export your Richardson Extrapolation Calculator output.
Start with coarse estimate a(h). Allowed range: -1000000000.0 to 1000000000.0.
r must exceed 1 and p must be positive. Extrapolated value = fine + (fine−coarse)/(r^p−1). The method assumes the supplied estimates follow the stated leading-error model; overflow or numerically collapsed denominators are rejected. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
Select Calculate, check the labelled result, then use Copy result or Download result.txt.
These concrete scenarios illustrate how the Richardson Extrapolation Calculator processes baseline inputs, comparison checks, and boundary constraints.
Coarse estimate A(h) = 1.2; Fine estimate A(h/r) = 1.1; Refinement ratio r = 2; Leading error order p = 2. Output: Extrapolated value: 1.06666666667; Correction from fine estimate: -0.0333333333333; Fine minus coarse: -0.1.
Coarse estimate A(h) = 2; Fine estimate A(h/r) = 1.5; Refinement ratio r = 2; Leading error order p = 1. Output: Extrapolated value: 1; Correction from fine estimate: -0.5; Fine minus coarse: -0.5.
When solving for 'richardson extrapolation calculator', verify that Coarse estimate A(h), Fine estimate A(h/r), Refinement ratio r use consistent units and stay within the documented scope: r must exceed 1 and p must be positive. Extrapolated value = fine + (fine−coarse)/(r^p−1). The method assumes the supplied estimates follow the stated leading-error model; overflow or numerically collapsed denominators are rejected. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
The output panel reports the exact result derived from Coarse estimate A(h), Fine estimate A(h/r), Refinement ratio r alongside any unit or formatting notes.
Every calculation follows the rule: Extrapolate two estimates using a supplied refinement ratio and leading error order. Because JavaScript uses IEEE 754 double-precision floating-point arithmetic, numeric outputs display up to 12 significant digits where applicable.
Always cross-check the displayed result against the scope note (r must exceed 1 and p must be positive. Extrapolated value = fine + (fine−coarse)/(r^p−1). The method assumes the supplied estimates follow the stated leading-error model; overflow or numerically collapsed denominators are rejected. Numeric output uses up to 12 significant digits; floating-point rounding can occur) before applying the value to production specifications, financial models, or lab records.
Review these boundary constraints and validation rules before relying on the Richardson Extrapolation Calculator output.
Operational scope: r must exceed 1 and p must be positive. Extrapolated value = fine + (fine−coarse)/(r^p−1). The method assumes the supplied estimates follow the stated leading-error model; overflow or numerically collapsed denominators are rejected. Numeric output uses up to 12 significant digits; floating-point rounding can occur. Inputs that violate minimum/maximum bounds or required format rules are rejected with a clear diagnostic prompt.
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Open toolAnswers about using Richardson Extrapolation Calculator and understanding its results.
The Richardson Extrapolation Calculator applies the rule: Extrapolate two estimates using a supplied refinement ratio and leading error order. Enter Coarse estimate A(h), Fine estimate A(h/r), Refinement ratio r into the workspace and the tool computes the exact output in your browser.
Yes. Provide Coarse estimate A(h), Fine estimate A(h/r), Refinement ratio r using the documented units and format shown in the quick reference table above. Preloaded default values let you test the workflow immediately.
r must exceed 1 and p must be positive. Extrapolated value = fine + (fine−coarse)/(r^p−1). The method assumes the supplied estimates follow the stated leading-error model; overflow or numerically collapsed denominators are rejected. Numeric output uses up to 12 significant digits; floating-point rounding can occur. Confirm that your inputs fall within the allowed ranges before exporting the result.
Yes. All calculations for the Richardson Extrapolation Calculator execute 100% locally in your browser's JavaScript runtime. No inputs or results are uploaded to any external server.
Choose another tool for your next calculation, conversion, or text task.