Examples
Examples
Try the starting example
- Closed polygon interior angles (degrees)
- 90.01,89.98,90.02,90
- Relative observation weights
- 1,1,1,1
- Angular misclosure (degrees)
- 0.01
- Adjusted interior angles (degrees)
- [90.0075,89.9775,90.0175,89.9975]
- Per-angle corrections (degrees)
- [-0.0025,-0.0025,-0.0025,-0.0025]
Try another scenario
- Closed polygon interior angles (degrees)
- 91.01,89.98,90.02,90.0
- Relative observation weights
- 1,1,1,1
- Angular misclosure (degrees)
- 1.01
- Adjusted interior angles (degrees)
- [90.7575,89.7275,89.7675,89.7475]
- Per-angle corrections (degrees)
- [-0.2525,-0.2525,-0.2525,-0.2525]
Calculation method
Calculation method
Angular misclosure (degrees)
Expected sum=(n-2)180; minimize weighted correction squares gives correction∝1/weight.
Adjusted interior angles (degrees)
Expected sum=(n-2)180; minimize weighted correction squares gives correction∝1/weight.
Per-angle corrections (degrees)
Expected sum=(n-2)180; minimize weighted correction squares gives correction∝1/weight.
Symbols and units
- a
- Closed polygon interior angles (degrees)
- b
- Relative observation weights
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Simple planar closed polygon; observation weights interpreted as inverse variance. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Simple planar closed polygon; observation weights interpreted as inverse variance.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.