Cartexius

Reference - https://www.eriksmistad.no/getting-started-with-google-test-on-ubuntu/

sudo apt-get install libgtest-dev

sudo apt-get install cmake # install cmake

cd /usr/src/gtest

sudo cmake CMakeLists.txt

ilokhov

#!/bin/bash

# clean dist directory and copy all files from src
rm -rf dist && mkdir dist
cp -a src/. dist/

### images
# declare sizes
declare -a sizes=('710' '1000' '1420')

TysonRayJones

this guide may be outdated for MacOS versions beyond 10.14 Mojave (and implied Xcode versions)

GSL

Table of Contents

• Installation
  • OSX
  • Ubuntu
• ARCUS-B

marc-fez

# Having problems with the nvidia drivers
# Arch wiki page on XPS 15
# https://wiki.archlinux.org/index.php/Dell_XPS_15_9560

# Install ARCH Linux with encrypted file-system and UEFI on Dell XPS 15
# The official installation guide (https://wiki.archlinux.org/index.php/Installation_Guide) contains a more verbose description.

# Download the archiso image from https://www.archlinux.org/
# Copy to a usb-drive
dd if=archlinux.img of=/dev/sdX bs=16M && sync # on linux

nadavrot

High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).

Intro

Matrix multiplication is a mathematical operation that defines the product of

S-M-Salaquzzaman

%Find Ybus Admittance Matrix(any number of Bus)
%I am used 3 Bus and , 2 bus ans 3 bus are not connected
clc
clear
% |FromBus|ToBus|Impedance|LineCharging|
d = [ 1 2 .4j -20j ;
1 3 .25j -50j;
2 3 0j 0j ; ];
fb = d(:,1); tb = d(:,2);
y = 1./d(:,3);

moorepants

name: filter
channels:
  - conda-forge
  - defaults
dependencies:
  - numpy
  - scipy
  - matplotlib
  - sympy
  - dynamicisttoolkit

belltailjp

import matplotlib.pyplot as plt
import numpy as np
from sklearn import manifold

cities = "Athens Barcelona Brussels Calais Cherbourg Cologne Copenhagen Geneva Gibraltar Hamburg HookOfHolland Lisbon Lyons Madrid Marseilles Milan Munich Paris Rome Stockholm Vienna".split(" ")
d = np.array([
    # from eurodist dataset: https://rstudio-pubs-static.s3.amazonaws.com/221886_5c57ad0f5ff546e8af6386162f29fabc.html
    [   0, 3313, 2963, 3175, 3339, 2762, 3276, 2610, 4485, 2977, 3030, 4532, 2753, 3949, 2865, 2282, 2179, 3000,  817, 3927, 1991],
    [3313,    0, 1318, 1326, 1294, 1498, 2218,  803, 1172, 2018, 1490, 1305,  645,  636,  521, 1014, 1365, 1033, 1460, 2868, 1802],
    [2963, 1318,    0,  204,  583,  206,  966,  677, 2256,  597,  172, 2084,  690, 1558, 1011,  925,  747,  285, 1511, 1616, 1175],

paolocarrasco

Problem

You have installed GPG, then tried to commit and suddenly you see this error message after it:

error: gpg failed to sign the data
fatal: failed to write commit object

Debug

jeeho-ahn

Setting up CMake for Eigen Library

Yes. THE EIGEN Library.
It is the library lures engineers first by its name then its capability in matrix manipulation that we've only seen in good expensive almighty slow MATLAB, specifically in C++.

Yes, from my experience so far, Eigen Library is AWESOME. It gives the users a giant freedom AND efficiency in matrix operations in a way I wouldn't even be able to even think about to implement alone.

YES IT IS FREE TO USE!