bm | CLI bookmarks -- dropbox persisted bookmarks | Image Editing library

If you take a look at the intl-tel-input documentation regarding Initialisation Options. There is an option called excludeCountries.

We can modify your initialisation code to include this option to exclude China:

A*A^(-1) = I and A^(-1)*A = I

should both be true.

I get somethin like this for the first multiplication:

When the function DataLongGenerator() creates Z, it's a random uniform data in a matrix. The actual coding is

Have you tried a different approach from your Spring back-end? I would suggest returning your PNG image as a byte array, and annotate the REST Controller method to indicate the appropriate MediaType that it produces:

you have to use square brackets [ ], Slice_one["dZ"] = abs(Slice_one.Z_1 - Slice_one.Z)

Since all your points are equally sized, there is no need to define all of your squares beforehand and then determine which squares have which points. I would use the coordinates of each point to directly determine which square it will land in.

Let's take the 1-dimensional case, for the sake of simplicity. You want to group points on the number line into "squares" (really 1-d line segments). If your first square starts at x=0, your second at x=10, your third at x=20, and so on, how do you find the square for an arbitrary point x? You know that your squares are spaced by 10 (and you know they start at 0, which makes things easier), so you can simply divide by 10 and round down to get the square index.

You can just as easily do the same thing in 3-dimensions (or n-dimensions).

For example, in your situation, how about counting the number of Contents? I thought that when Google Document is converted to the PDF data by retrieving as the blob using Google Apps Script, this method can be used. When this is reflected to your script, it becomes as follows.

I have used your static pivot part of the query as the source of dynamic pivot. Create two sets of dynamic pivot column list. One for pivoting and the another with Coalesce() to select pivoted columns (to convert null into 0). If there is no categcount for any category then that category has been replaced with null (case when). Two more aliases for Category and SumCatCount have been created since those were used in pivot condition.

Here goes your answer:

It would be very difficult to analyze the query with out the data, Any ways!

try joining the tables and group it, that should improve the performance

here is a left join sample

SELECT column names FROM table1 LEFT JOIN table2 ON table1.common_column = table2.common_column;

check this for more detailed inform https://learnsql.com/blog/how-to-left-join-multiple-tables/