query: Precision error with logarithms and exponential functions in Ruby
positive_passages.docid: 43
positive_passages.text: Is floating point math broken?
negative_passages.docid: 107240
negative_passages.text: Exponential Operator in C++
negative_passages.docid: 137238
negative_passages.text: Interpreting coefficients of first differences of logarithms
negative_passages.docid: 55967
negative_passages.text: What to do when your likelihood function has a double product with small values near zero - log transform doesn't work?
negative_passages.docid: 62370
negative_passages.text: Why are the return values of these doubles -1.#IND?
negative_passages.docid: 63295
negative_passages.text: How do you round a floating point number in Perl?
negative_passages.docid: 55751
negative_passages.text: Mathematica not plotting whole logarithmic function
negative_passages.docid: 128464
negative_passages.text: How to avoid floating point precision errors with floats or doubles in Java?
negative_passages.docid: 40160
negative_passages.text: asymmetric errors with exponential
negative_passages.docid: 108007
negative_passages.text: Can anybody help me with this logarithm problem?
negative_passages.docid: 43277
negative_passages.text: Confused by (apparent) inconsistent precision
negative_passages.docid: 34746
negative_passages.text: Retain precision with double in Java
negative_passages.docid: 38768
negative_passages.text: Python/numpy floating-point text precision
negative_passages.docid: 103852
negative_passages.text: How to resolve a Java Rounding Double issue
negative_passages.docid: 70350
negative_passages.text: Python rounding error with float numbers
negative_passages.docid: 101840
negative_passages.text: Why is division in Ruby returning an integer instead of decimal value?
negative_passages.docid: 134745
negative_passages.text: float result is inaccurate