propUnc

propUnc(func,xName,xValue,xUnc) evaluates the uncertainty and value of a function near a set of inputs with given uncertainties

版本 1.4.2 (2.6 KB)
10.0 次下载
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2026/8/28

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propUnc(func,xName,xValue,xUnc) takes the function "func" with variables "xName", and returns the uncertainty of the function with variable values "xValue" and uncertainties "xUnc".
propUnc(___,constName,constValue) clears up some notation by defining constants used in the function "func" which don't need different values. If not included, use empty string or cell array.
propUnc(___,method) sets whether or not the output uses the standard, symmetric RMS method using partial derivatives (default), or computes the asymmetric upper and lower bounds of the values ('abs').
[funcUnc, funcEvalX] = propUnc(___) includes the output of the function values for the given inputs.

引用格式

Graham Holt (2026). propUnc (https://ww2.mathworks.cn/matlabcentral/fileexchange/183905-propunc), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.4.2

Permits the absence of constants when defining the method
1.4.1

Includes the "collate" function for cleaner consideration of symmetric uncertainty in the case of absolute error
1.4.0

Includes example use case in description, proper accommodation for using both methods with symmetric and asymmetric uncertainties
1.3.0

Improved readability and accounts for symmetric and asymmetric uncertainty using both methods
1.2.1

Minor changes to comments, accurately reflects first attempt at project
1.2.0

Allows for the input and output of asymmetric uncertainty bounds using the "method" variable. Also added comments for more insights into logic
1.1.0

Includes the ability to compute the absolute, asymmetric upper and lower uncertainty bounds using the "method" variable.
1.0.0