I want to know from where comes the expression given below in Hoeffding's inequality

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# Tag: log

## Where is the error log in Oracle 11g with Linux CENTS?

I'm doing a screen with PHP / PDO calling a procedure in Oracle. But I can not check the errors generated by Oracle.

When I run the SQL command (select * in v $ diag_info;) in SGDB (DBEAVER), oracle indicates multiple paths. How:

ADR HOME – / u01 / app / oracle / diag / rdbms / spatial / spatial

Diag Trace – / u01 / app / oracle / diag / rdbms / spatial / spatial / trace

Diag Alert – / u01 / app / oracle / diag / rdbms / spatial / spatial / alert

Diag Incident – / u01 / app / oracle / diag / rdbms / spatial / spatial / incident

Diag Cdump – / u01 / app / oracle / diag / rdbms / spatial / spatial / cdump

Health monitor – / u01 / app / oracle / diag / rdbms / spatial / spatial / hm

Default trace file – /u01/app/oracle/diag/rdbms/spatial/spatial/trace/spatial_ora_5960.trc

In Diag Alert, we have the log.xml file but it does not show the errors. If I run a bad statement in SGDB, I also do not see the error in log.xml. Is there another place that records errors?

## Theory of complexity – What's wrong with this solution for $ mathcal {O} ({ log ({n choose frac {n} {2}})}) $?

In this recitation on MIT OCW, the instructor uses the Stirling approximation to calculate that

$ mathcal {O} ({ log ({n choose frac {n} {2}})}) = mathcal {O} (n) $.

However, I followed the following steps to conclude that $ mathcal {O} ({ log ({n choose frac {n} {2}})}) = mathcal {O} ( log {n}) $. Where did I go wrong?

First of all, note that $ {n choose frac {n} {2}} = frac {n!} { frac {n} {2}! frac {n} {2}!}. In basic logarithmic laws, we get that this is equal to $ log {(n!)} – log {( frac {n} {2}! frac {n} {2}!)} $. It follows that:

$$

mathcal {O} ( log {(n!)} – log {( frac {n} {2}! frac {n} {2}!)}) \

= mathcal {O} ( log {(n!)}) \

= mathcal {O} Big ( log { big (n (1) (n-2) cdots (1) big)} Big) \

= mathcal {O} Big ( log {n} + log {(n-1)} + ldots + log {(1))} Big)

= mathcal {O} ( log {n})

$$

So, what's wrong here? I have gone through it for a while and I do not see any mistakes. In charting these functions, however, I can see very clearly that there must be an error.

## monitoring: is there a provision to query multiple log analysis workspaces and pinned to the dashboard?

We have several customers hosted on azure. For each client, we use different workspaces for log analysis. Can the support team who wants to create a single dashboard for all customers query multiple workspaces and is there a link?

## Can SQL Server 2008 – sp_Blitz, sp_BlitzCache, or sp_BlitzFirst identify queries that caused a major growth operation on a particular log file?

You can find automatic growth events from the default trace (use my script and adjust it according to your needs) – the time, the size and the number of times it happened.

You can use extended events – my answer to find out which process caused automatic growth.

The only way to determine the process behind automatic growth is to use Extended events esp. EVENT -> sqlserver.database_file_size_change & sqlserver.databases_log_file_size_changed and ACTION -> sqlserver.sql_text.

Note that since 2008, you are limited to what XEvents will offer. This will be an unsupported version after July 9th. It's time to migrate out of it.

Can Sp_Blitz, sp_BlitzCache, or sp_BlitzFirst identify requests that cause a major growth operation on a particular log file?

No, because they analyze what exists on the server and do not configure any XEvents event.

## mysql – What is / var / log / mariadb / mariadb.log` in centos 7?

My system is centos 7 with mariadb 5.5.60.

```
####LOG####
log_warnings = 1
log-error = / var / log / mariadb-err.log
#### slow log ####
slow-query-log = 1
long_query_time = 5
slow-query-log-file = / var / log / mariadb-slow.log
```

It's all about `log`

in my `/etc/my.cnf`

.

I found `/var/log/mariadb/mariadb.log`

in my server, but it's an empty file.

What is it? `/var/log/mariadb/mariadb.log`

?

## Classical Analysis and odes – Finding the integral of log (1 – a / x ^ 2 + 1 / x ^ 4) from 0 to infinity

This is a calculating exercise appeared in improper integral, asks one of my classmates. It reads as follows:

$ int_ {0} ^ { infty} log (1- frac {a} {x ^ 2} + frac {1} {x ^ 4}) dx =? $.

I've tried to leave t = $ frac {1} {x} $ and rewrite LHS as $ int_ {0} ^ { infty} frac { log (1- frac {a} {x ^ 2} + frac {1} {x ^ 4})} {x ^ 2} dx $. Or write as $ int_ {0} ^ { infty} log (x ^ 4 – ax ^ 2 + 1) dx $ $ – int_ {0} ^ { infty} 4 log (x) dx $ in a simpler form. But I still can not calculate it directly. I wonder if we should use more delicate techniques to solve the problem?

I know there is no philosophy on this issue, but I would like to think of it as a smart challenge.

I would be grateful if anyone can give me some ideas.

## sharepoint online – How to get the audit log data for a given period of time with the help of

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## unit tests – What can I do with the `log` function in terms of formal verification

In JavaScript, I want to create a log function:

```
function log (string) {
console.log (string)
}
```

Obviously, this causes side effects; it prints on the screen. And I have no control over its implementation. Basically, I think it works.

But I wonder what I can do to incorporate something like that into a formal audit system. I may be doing some sort of Monad, but I have a hard time understanding how the Monad works. I seem to be saying something about a global summary `State`

that goes from one state to another, as in

```
log (string) = state -> state & # 39;
```

But I'm not really sure what I can do from there or what it even gives me. I would like to say something about how this function is `checked`

, but I do not know what it would take, if it were only tests, or if I could write a specification that does not require to understand the full implementation.

Please let me know what I can do with this situation, how can I take that? `log`

operate and integrate it into a pure verification system