39%
31.10.2025
) ) ! mem for unew, u
087
088 !
089 ! Boundary Conditions
090 ! ===================
091 !
092 pi = DACOS(0.0d0)
093
094 ! Top of unit square: (N)
095 DO i=1,m
096 x=delta*(i-1)
097 u(i,m) = dsin(pi*x
39%
30.01.2020
sports a few additional capabilities, the most noteworthy being its ability to measure page faults and swapping activity by the tested binary:
$ /usr/bin/time gcc test.c -o test
0.03user 0.01system 0:00
39%
25.03.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
39%
02.02.2021
.sin(periods * 2 * np.pi * t)
12 return max(value, 0.0)
13 else:
14 value = np.sin(periods * 2 * np.pi * t)
15 return max(value, 0.0)
16
17 # building the data vector
18 my_data = []
19 i = 0
20 while
39%
18.08.2021
used were:
Ubuntu 20.04
Conda 4.10.3
Python 3.8.10
TensorFlow 2.4.1
cudatoolkit 10.1.243
System CUDA 11.3
Nvidia driver 465.19.01
A summary of the model is shown in Table 1
39%
30.11.2025
SELinux Information with -Z
01 # id -Z
02 user_u:system_r:unconfined_t
03 # ls -dZ /var/www/html
04 drwxr-xr-x root root system_u:object_r:httpd_sys_content_t /var/www/html
05 # ps -efZ | grep httpd
06
39%
25.10.2011
/inet/ike/config
for the same partner would look something like Listing 4.
Listing 4: /etc/inet/ike/config
02 p1_nonce_len 20
03 p1_xform { auth_method preshared oakley_group 2 auth_alg sha encr_alg 3des }
04 p2_pfs 2
05 {
06
39%
07.06.2019
***
monthAugust -16.028 20.777 -0.771 0.4407
monthDecember -6.106 20.768 -0.294 0.7688
monthFebruary 109.349 21.304 5.133 3.72e-07 ***
monthJanuary 133.990 20.770 6.451 2
39%
20.05.2014
.2.0 include the introduction of YARN (Yet Another Resource Negotiator) as an optional replacement for MapReduce. MapReduce in Hadoop 1.x (Figure 3) is not optimal for all workloads. It achieves its best ... Hadoop 2.x and its associated tools promise to deliver big data solutions not just to the IT-heavy big players, but to anyone with unstructured data and the need for multidimensional data analysis. ... 20
39%
04.12.2024
in this collection has different fields, depending on the type of vehicle (Listing 1).
Listing 1
Collection of Vehicles
01 {
02 "type": "Car",
03 "brand: "BMW,
04 "model": "X5",
05 "year": 2021
