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Data contains 31 rows and 9 columns C++ Goals: Developing problem-solving skills, using functions and arrays Problem: The company, Heat Transfer, has expanded its study
Data contains 31 rows and 9 columns
C++
Goals: Developing problem-solving skills, using functions and arrays Problem: The company, Heat Transfer, has expanded its study to include more formulations and plants. They have automated the data collection so that the thermal conductivities are stored in a file containing a table (2-D array). Each row of the table represents a specific formulation and each column represents a specific plant. Your program should have a main function and 4 other functions as described below. The manufacturer has stated that there will not be more than 50 formulations and not more than 12 plants. One function should open the file "thermalconduct.dat" and read the first line that contains the number of formulations (the first value) and number of plants (the second value). Using these values, your function should then read the rest of the data and store the values in a 2-dimensional array. As the thermal conductivities are being stored, a message should be output if any thermal conductivity is not in the range of 3 to 10. The message should output the formulation, plant and thermal conductivity as the example below The value of 14.56 from plant 1 for formulation 8 is suspect. The thermal conductivity should still be stored in the array. The number of formulations and number plants should be sent back to the function call One function should accept the 2-dimensional array, the number of formulations and number of plants then create a 1-dimensional array containing the minimum thermal conductivities for each formulation and create a 1-dimensional array containing the maximum thermal conductivities for each formulation. This function should call the function to output a 1-dimensional array for the minimum and maximum values before sending these arrays back to the function call One function should accept the 2-dimensional array and determine the average thermal conductivity for each formulation. The average thermal conductivity for each formulation should be calculated without including the maximum and minimum thermal conductivity for that formulation, therefore this function will need to call the function that calculates the minimum and maximum thermal conductivities for each formulation. The average thermal conductivities for the formulations should be stored in another 1-dimensional array which is sent back to the function call. One function that will accept a 1-dimensional array, the number of values stored in the array and a description of what is stored in the array, e.g 'minimum thermal conductivity for each formulation", average thermal conductivity for each formulation", etc. The function will then output the description and the values. The values should be output to 4 significant digits
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