In these problems we look at numerical characteristics of video cards, specifically NVidia GeForce series: dataSet = {{ 2000, 25 } , { 2001, 53 } , { 2003, 125 } , { 2005, 302 } , { 2006, 680 } , {...


In these problems we look at numerical characteristics of video cards, specifically NVidia GeForce  series:



dataSet

=



{{
2000, 25
}
,

{
2001, 53
}
,

{
2003, 125
}
,

{
2005, 302
}
,

{
2006, 680
}
,

{
2008, 754
}
,

{
2010, 1950
}}
;



TableForm
[
dataSet, TableHeadings

→ {{}
,

{
"Year", "Transistors

(
million
)
"
}}]


Year Transistors (million)


2000 25


2001 53


2003 125


2005 302


2006 680


2008 754


2010 1950


It would make sense to consider how S (number of transistors in millions) changes with time t (years  after 2000).


Pr10. Plot the data and the best exponential fit for the data.


Pr11. What is the best exponential equation that describes the data? The exponential function can be of  the form b*at or b*er·t.


Pr12. What is the annual growth percentage rate for the number of transistors?


Pr13. Using the function above or continuing the pattern in the table, what number of transistors would  you predict for 2015?


Pr14. Google number of transistors on NVidia GeForce GTX 980 Ti released in 2015. Compare with your  prediction in Pr13.


Pr15. For the function S(t) defined above, write down the functional notation for number of transistors  on NVidia GPU in 2020.



Jun 09, 2022
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