query: Expensive precalculated data only relevant to one function
positive_passages.docid: 26589
positive_passages.text: Simulating a 'local static' variable in python
negative_passages.docid: 130025
negative_passages.text: Why is numpy.array so slow?
negative_passages.docid: 95041
negative_passages.text: What are some common issues with fitting functions to data?
negative_passages.docid: 155429
negative_passages.text: Filling global arrays in parallel calculations
negative_passages.docid: 57565
negative_passages.text: Scaling data that are on different orders of magnitude for plotting
negative_passages.docid: 114701
negative_passages.text: Determining best fitting curve fitting function out of linear, exponential, and logarithmic functions
negative_passages.docid: 61772
negative_passages.text: Performance tuning in Mathematica?
negative_passages.docid: 74650
negative_passages.text: Monitoring progress of long calculations
negative_passages.docid: 137815
negative_passages.text: Additive but not $\sigma$-additive function
negative_passages.docid: 137476
negative_passages.text: Is Fortran easier to optimize than C for heavy calculations?
negative_passages.docid: 123397
negative_passages.text: Does the logarithm function grow slower than any polynomial?
negative_passages.docid: 59274
negative_passages.text: Why do cost functions use the square error?
negative_passages.docid: 57225
negative_passages.text: How to make my iterated function calculate more quickly?
negative_passages.docid: 10823
negative_passages.text: Is floating point arbitrary precision available?
negative_passages.docid: 112937
negative_passages.text: pgfplot: Customize the axis wide scientific notation multiplier
negative_passages.docid: 114693
negative_passages.text: TrackingFunction not working properly if range contains a mathematical constant
negative_passages.docid: 14330
negative_passages.text: How to factorise large number without calculator?