min

I have a array like [5.5, 6.0, 6.0, 6.5, 6.0, 5.5, 5.5, 5.0, 4.5]. all numbers of this array differ by 0.5, and the maximum difference of two successive numbers is also 0.5(they can be same; as in the example). and there is a moving interval, or box, which covers, for example, 3 successive numbers, like this: [(5.5, 6.0, 6.0), 6.5, 6.0, 5.5, 5.5, 5.0, 4.5] # min: 5.5, max: 6.0 and the box moves toward right one by one: [5.5, (6.0, 6.0, 6.5), 6.0, 5.5, 5.5, 5.0, 4.5] # min: 6.0, max: 6.5 [5.5, 6.0, (6.0, 6.5, 6.0), 5.5, 5.5, 5.0, 4.5] # min: 6.0, max: 6.5 the question is, how can I find the min

I have a data table similar to below: ID A B 10 5 blue 10 8 red 10 10 yellow 20 2 black 20 17 blue 30 7 red 30 12 green 30 50 black Basically I want to write a mySQL query to output something like: ID A B 10 5 blue 20 2 black 30 7 red It gives only unique values of 'ID' and the minimum values of 'A' of each unique 'ID'. 'B' is just the extra data that goes along with it in the row. What should my query look like? You can use a subquery to identify the min(a) value for each id and then join that back to your table: select * from yourtable t1 inner join ( select min(A) A, id from yourtable group

I have a data.frame with columns of factors, on which I want to compute a max (or min, or quantiles). I can't use these functions on factors, but I want to. Here's some example : set.seed(3) df1 <- data.frame(id = rep(1:5,each=2),height=sample(c("low","medium","high"),size = 10,replace=TRUE)) df1$height <- factor(df1$height,c("low","medium","high")) df1$height_num <- as.numeric(df1$height) # > df1 # id height height_num # 1 1 low 1 # 2 1 high 3 # 3 2 medium 2 # 4 2 low 1 # 5 3 medium 2 # 6 3 medium 2 # 7 4 low 1 # 8 4 low 1 # 9 5 medium 2 # 10 5 medium 2 I can easily do this: aggregate(height

I've seen some examples of using SUM() inside an ARRAYFORMULA() in Google Spreadsheets (and oddly enough, they all seem like workarounds) but I can't figure out how to apply them to using MIN() instead. Let's say I have columns A , B and C and I just want to get the result of MIN(A:C) on the D column, just for the three cells that would match each row. The straightforward way should be ARRAYFORMULA(MIN(A1:C)) but surely enough that doesn't work. How can I programmatically calculate the MIN() of some cells within a row, for all the rows in a Google Spreadsheet? MIN() always returns a single

I'm trying to implement an algorithm to find the minimum and the maximum values among a set of longs in a file. My test file contains one billion longs. The algorithm works as expected but does not perform faster than the naive version. It should be significantly faster as the naive version performs roughly 2n comparisons, whereas this version performs 3n/2 comparisons. $ time ./findminmax_naive somelongs count: 1000000000 min: 0 max: 2147483647 real 0m24.156s user 0m4.956s sys 0m3.896s $ time ./findminmax_faster somelongs count: 1000000000 min: 0 max: 2147483647 real 0m25.048s user 0m6.948s

Below is what I have +++++++++++++++++++++++++++ id + myDate + name +++++++++++++++++++++++++++ 'A'+ '2012-06-05' + 'baz' 'A'+ '2012-06-04' + 'bar' 'B'+ '2012-06-05' + 'foo' 'C'+ '2012-06-05' + 'bla' 'C'+ '2012-06-04' + 'blah' 'C'+ '2012-06-06' + 'bleh' +++++++++++++++++++++++++++ Query I am using is SELECT id, min(myDate) as Date, name FROM myTable GROUP BY id; I am getting output as below +++++++++++++++++++++++++++ id + myDate + name +++++++++++++++++++++++++++ 'A'+ '2012-06-04' + 'baz' 'B'+ '2012-06-05' + 'foo' 'C'+ '2012-06-04' + 'bla' +++++++++++++++++++++++++++ My question is when query