Analysis device, analysis method, and computer readable medium

An analysis method comprising:

• acquiring, as a first variation coefficient, a variation coefficient representing a characteristics of linear variation of first time-series data in which values of a plurality of time points taken at a constant step size linearly vary, extracting a value of a start time point of the first time-series and calculating a value of an end time point of the first time-series data on the basis of the acquired first variation coefficient;
• acquiring, as a second variation coefficient, a variation coefficient representing a characteristics of linear variation of second time-series data in which values of a plurality of time points taken at the step size linearly vary, and calculating a value of a commencing time point, which is a given time point in the second time-series data, and a value of a completing time point obtained by adding a time width between the start time point and the end time point to the commencing time point, on the basis of the acquired second variation coefficient;
• and
• calculating an integrated value of a difference value between paired time points which are in the same positional relationship in a range from the start time point to the end time point and in a range from the commencing time point to the completing time point on the basis of the value of the start time point, the value of the end time point, the value of the commencing time point, and the value of the completing time point, without calculating values of respective time points between the start time point and the end time point and values of respective time points between the commencing time point and the completing time point.

A non-transitory computer readable medium storing an analysis program causing a computer to execute:

• a first computation process of acquiring, as a first variation coefficient, a variation coefficient representing a characteristics of linear variation of first time-series data in which values of a plurality of time points taken at a constant step size linearly vary, extracting a value of a start time point of the first time-series data and calculating a value of an end time point of the first time-series data on the basis of the acquired first variation coefficient;
• a second computation process of acquiring, as a second variation coefficient, a variation coefficient representing a characteristics of linear variation of second time-series data in which values of a plurality of time points taken at the step size linearly vary and calculating a value of a commencing time point, which is a given time point in the second time-series data, and a value of a completing time point obtained by adding a time width between the start time point and the end time point to the commencing time point, on the basis of the acquired second variation coefficient;
• and
• a difference integrated value computation process of calculating an integrated value of a difference value between paired time points which are in the same positional relationship in a range from the start time point to the end time point and in a range from the commencing time point to the completing time point on the basis of the value of the start time point, the value of the end time point, the value of the commencing time point, and the value of the completing time point, without calculating values of respective time points between the start time point and the end time point and values of respective time points between the commencing time point and the completing time point.