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README.md
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@@ -69,7 +69,7 @@ which gives:
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2 11 0.000000 plus(plus(mult(x0, x0), cos(x3)), plus(-2.0, cos(x3)))
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```
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One can define custom operators in Julia by passing a string:
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```python
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@@ -86,11 +86,11 @@ are automatically vectorized.
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One can also edit `operators.jl`. See below for more options.
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Here, we assign weights to each row of data
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using inverse uncertainty squared. We also use 10 threads
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instead of the usual 4, which creates more
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(one population per thread).
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```python
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sigma = ...
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2 11 0.000000 plus(plus(mult(x0, x0), cos(x3)), plus(-2.0, cos(x3)))
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```
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### Custom operators
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One can define custom operators in Julia by passing a string:
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```python
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One can also edit `operators.jl`. See below for more options.
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### Weighted data
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Here, we assign weights to each row of data
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using inverse uncertainty squared. We also use 10 threads
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instead of the usual 4, which creates more populations
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(one population per thread).
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```python
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sigma = ...
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