#code jam question.
There is a house of pancakes with limited number of pancakes that are initially distributed to D diners with ease having di pancakes on their plate where I is the index of the diner. Each diner takes one minute to eat one pancake. There are infinite other diners who have empty plates. The server can halt all diners from eating by calling a minute as special. During this minute, he can take away some pancakes from one diner and give it to another. If this is the only move he can do, what is the minimum time to finish the set of pancakes ?
Solution since the number of empty diners are infinite we can increase the degree of parallelism by adding empty diners from one through a large number, say 1001. There is no efficiency possible without increasing the DOP and we exhaust the search space to find the best DOP by incrementing it by 1 at a time.moreover each pancake can contribute to an increase in DOP For each incremental DOP we look for the mininum time. The minimum time
is a cumulative of the reduced number of
pancakes for each no empty diner. We know that the reduction happens with an increase in DOP x by 1 during a special minute. Consequently our solution is the minimum time calculated as the minimum of the sum of time takwn by each non empty diner for that DOP.
Int getMinTime (list <int> pancakes)
{
Int min =INT_MAX;
For (int x=1; x < 1001; x++;)
{
Int sum =0;
For (int I =0; i < pancakes.count(); i++;)
{
Sum += (pancakes [i] + x - 1) / x - 1;
}
sum += x;
If (sum < min)
min = sum;
}
Return min;
}
Today we conclude reading the paper titled Jigsaw : Efficient, low effort mashup isolation by James Mickens and Matthew Finifter. Mashups are web applications that contain code from different principals.Jigsaw lets mashups be isolated with its framework and lets them selectively expose private state. At the same time Jigsaw is developer friendly requiring very little changes as compared to the other related work with their cumbersome policies. The use of public/private keywords is also natural to programming languages such as Java. Related work also use frames for isolation. Jigsaw uses boxes that can share the same origin. Jigsaw also uses proxy for principal objects that have to be shared across domain. Moreover Jigsaw facilitates pass by reference for surrogate objects for cross domain access. Jigsaw also has similar or better performance than other related work.
There is a house of pancakes with limited number of pancakes that are initially distributed to D diners with ease having di pancakes on their plate where I is the index of the diner. Each diner takes one minute to eat one pancake. There are infinite other diners who have empty plates. The server can halt all diners from eating by calling a minute as special. During this minute, he can take away some pancakes from one diner and give it to another. If this is the only move he can do, what is the minimum time to finish the set of pancakes ?
Solution since the number of empty diners are infinite we can increase the degree of parallelism by adding empty diners from one through a large number, say 1001. There is no efficiency possible without increasing the DOP and we exhaust the search space to find the best DOP by incrementing it by 1 at a time.moreover each pancake can contribute to an increase in DOP For each incremental DOP we look for the mininum time. The minimum time
is a cumulative of the reduced number of
pancakes for each no empty diner. We know that the reduction happens with an increase in DOP x by 1 during a special minute. Consequently our solution is the minimum time calculated as the minimum of the sum of time takwn by each non empty diner for that DOP.
Int getMinTime (list <int> pancakes)
{
Int min =INT_MAX;
For (int x=1; x < 1001; x++;)
{
Int sum =0;
For (int I =0; i < pancakes.count(); i++;)
{
Sum += (pancakes [i] + x - 1) / x - 1;
}
sum += x;
If (sum < min)
min = sum;
}
Return min;
}
Today we conclude reading the paper titled Jigsaw : Efficient, low effort mashup isolation by James Mickens and Matthew Finifter. Mashups are web applications that contain code from different principals.Jigsaw lets mashups be isolated with its framework and lets them selectively expose private state. At the same time Jigsaw is developer friendly requiring very little changes as compared to the other related work with their cumbersome policies. The use of public/private keywords is also natural to programming languages such as Java. Related work also use frames for isolation. Jigsaw uses boxes that can share the same origin. Jigsaw also uses proxy for principal objects that have to be shared across domain. Moreover Jigsaw facilitates pass by reference for surrogate objects for cross domain access. Jigsaw also has similar or better performance than other related work.
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