Answer:
The method in C++ is as follows:
double calcPyramidVolume(double baseLength, double baseWidth, double pyramidHeight){
double baseArea = calcBaseArea(baseLength, baseWidth);
double volume = baseArea * pyramidHeight;
return volume;
}
Explanation:
This defines the calcPyramidVolume method
double calcPyramidVolume(double baseLength, double baseWidth, double pyramidHeight){
This calls the calcBaseArea method to calculate the base area of the pyramid
double baseArea = calcBaseArea(baseLength, baseWidth);
This calculates the volume
double volume = baseArea * pyramidHeight;
This returns the volume
return volume;
}
<em>See attachment for complete program that include all methods that is required for the program to function.</em>
Answer:
B. Computer Repair
Explanation:
I got it right on edge. trust.
The capital letter W is expressed as U+0057 in Unicode system
- The Unicode system is known as a type of coding system which contains worldwide character encoding standard that gives a code to every character and symbol in every language spoken in the world today.
- It is known as the encoding standard that is used in all languages, It makes sure that an individual can retrieve or combine data with the use of different languages altogether.
Conclusively, we can say that the The capital letter W is expressed as U+0057 in Unicode system
Learn more from:
brainly.com/question/24736173
Answer:
The correct answer to the following question will be "The wavelengths of the electron beams are also much shorter or less than illumination and visible light".
Explanation:
TEM seems to be a methodology of microscopy during which a pulse of electrons is transferred to create the effect through some kind of microscope, could approach biological objects at the sub-nanometer standard, as related to hundreds of nano-meters for either the absolute best microscope with super-resolution.
Also because of the electron beam's distances, they are still much shorter or smaller than daylight and infrared light, meaning that biological objects and artifacts can be resolved.
Step 2: Multiply total number of pixels by the bit depth of the detector (16 bit, 14 bit etc.) to get the total number of bits of data. Step 3: Dividing the total number of bits by 8 equals the file size in bytes. Step 4: Divide the number of bytes by 1024 to get the file size in kilobytes.
