Your task is to take the temperature readings and generate for each core: A piecewise linear interpolation. A global linear least squares approximation. (Optional) A cubic spline (or other non-linear) interpolation. 2 Program Arguments & Execution Your program must accept an input filename as the first command line argument. Your program must NOT prompt the user for a filename. 2.1 Input Format Data takes the form of temperatures in a txt file. All data points are whitespace delimited. For example, if I had 5 temperature readings: Example 1: Sample Input with Labels +61.0°C +63.0°C +50.0°C +58.0°C +80.0°C +81.0°C +68.0°C +77.0°C +62.0°C +63.0°C +52.0°C +60.0°C +83.0°C +82.0°C +70.0°C +79.0°C +68.0°C +69.0°C +58.0°C +65.0°C Example 2: Sample Input without Labels 61.0 63.0 50.0 58.0 80.0 81.0 68.0 77.0 62.0 63.0 52.0 60.0 83.0 82.0 70.0 79.0 68.0 69.0 58.0 65.0 would be a possible input files. Each line represents temperature readings from 4 processor cores. Process each temperature column independently. Readings are taken every 30 seconds. In this example: line 1 is 0 sec line 2 is 30 sec , line 3 is 60 sec . line 4 is 90 sec . line 5 is 120 sec . line 6 is 150 sec . line 7 is 180 sec . Your first step should be to pre-process this data into a usable form. Conceptually, you need the data in the following format: This table is a conceptual visualization of the data. You may select any combination data structures, e.g., ADTS (classes or structs), arrays, lists, vectors, or maps. Time (sec)Core 0Core 1Core 2Core 3061.063.050.058.03080.081.068.077.06062.063.052.060.012083.082.070.079.018068.069.058.065.0 2.3 Output Format All output must be written to text files (one file pre core). Each line must take the form: xk<=x
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