I am unfamiliar with Mathematica and the necessary syntax to approach visualize acceleration over time. I would appreciate some assistance or reference to a starting point on how to go about solving this problem. Please note that I have never used Mathematica before.
I am writing some game code that handles a third-person camera rotation that increases in speed over time (acceleration) as the left or right directional buttons are held down.
I am currently polling the directional button once every t milliseconds where sampling begins at the base and increases linearly every 100ms by a delta towards a maximum sampling rate.
So, for example (in microseconds):
TurnAccelMin = 10000.0 TurnAccelMax = 2000.0 TurnDelta = 1000.0
Note that acceleration is based on the sample rate so a lower maximum results in more samples over time. Even though sampling is in milliseconds, acceleration is stored as microseconds to account for a finer delta.
I would like to graph this so that I can visually see how the delta affects the acceleration over time. While I can picture in my mind the linear acceleration, I want to graph this so that I can visualize how different kinds of acceleration (exponential, quadratic, etc.) affect acceleration over a sample period.
How can I graph this as a line given these values as an equation?
Currently (as linear), where x = Time between 0 and 5 seconds and y = Acceleration in milliseconds.
Ideally I would like to see a graph of points, each connected by a straight line, as well as a table of values for each point when it is polled.
On SQL Server 2016 SP2 we have a query that has a very low estimate on the nested loop operator. Due to the low estimate this query also spills to tempdb.
If I’m correct SQL Server 2014+ uses
Coarse Histogram Estimation to calculate the estimated number of rows on a join. But when I execute the query, SQL Server uses the
density vector to calculate the number of estimated rows. Is SQL Server only using the
Coarse Histogram Estimation if there is no
Normally I would use
filtered statistics to improve estimations when I have a table with skewed data. But in this case that doesn’t seem to work.
Is there a way to improve the estimations on the
Using following code you can reproduce the data:
create table MyTable ( id int identity, field varchar(50), constraint pk_id primary key clustered (id) ) go create table SkewedTable ( id int identity, startdate datetime, myTableId int, remark varchar(50), constraint pk_id primary key clustered (id) ) set nocount on insert into MyTable select top 1000 [name] from master..spt_values go insert into SkewedTable select GETDATE(),FLOOR(RAND()*(1000))+1,REPLICATE(N'A',FLOOR(RAND()*(40))+1) go 1000 insert into SkewedTable select GETDATE(),FLOOR(RAND()*(1000))+1,REPLICATE(N'A',FLOOR(RAND()*(40))+1) go CREATE NONCLUSTERED INDEX [ix_field] ON [dbo].[MyTable]([field] ASC) go CREATE NONCLUSTERED INDEX [ix_mytableid] ON [dbo].[SkewedTable]([myTableId] ASC) go --95=varchar in sys.messages set nocount off ;with cte as ( select GETDATE() as startdate ,95 as myTableId, REPLICATE(N'B',FLOOR(RAND()*(40))+1) as remark union all select * from cte ) insert into skewedtable select top 40000 * from cte option(maxrecursion 0) go update statistics mytable with fullscan go update statistics skewedtable with fullscan go
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This is normal product price
The price will increase when i select the date in valentine day
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BlackHatKings: Proxies and VPN Section Posted By: dichvusocks Post Time: 22nd Jan 2019 at 06:42 AM
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