Warning: like the underlying numpy library, the inplace operations
may return values of the wrong type if some of the arguments are
integers, so be sure to create them with floating point inputs.
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div(X,
varX,
Y,
varY)
Division with error propagation |
source code
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mul(X,
varX,
Y,
varY)
Multiplication with error propagation |
source code
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sub(X,
varX,
Y,
varY)
Subtraction with error propagation |
source code
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add(X,
varX,
Y,
varY)
Addition with error propagation |
source code
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exp(X,
varX)
Exponentiation with error propagation |
source code
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log(X,
varX)
Logarithm with error propagation |
source code
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pow(X,
varX,
n)
X**n with error propagation |
source code
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div_inplace(X,
varX,
Y,
varY)
In-place division with error propagation |
source code
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mul_inplace(X,
varX,
Y,
varY)
In-place multiplication with error propagation |
source code
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sub_inplace(X,
varX,
Y,
varY)
In-place subtraction with error propagation |
source code
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add_inplace(X,
varX,
Y,
varY)
In-place addition with error propagation |
source code
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pow_inplace(X,
varX,
n)
In-place X**n with error propagation |
source code
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