Atlas7

Whilst working through the many (Octave) coding assignment from Andrew Ng's Stanford Machine Learning course, a common problem that I have to solve revolves around this:

Given a Matrix A with m rows, and n columns find the mininum (or maximum) value and the associated row and column number

This article summarises my solution to this problem (which, hopefully this will also come in hadny to you!). Note that Octave index start from 1 (instead of 0).

Sample Matrix

Say we have a Matrix A that look like this:

FedericoPonzi

The book Java Generics and Collections has this information (pages: 188, 211, 222, 240).

List implementations:

                      get  add  contains next remove(0) iterator.remove
ArrayList             O(1) O(1) O(n)     O(1) O(n)      O(n)
LinkedList O(n) O(1) O(n) O(1) O(1) O(1)

rudolfovich

#pragma once
#include <string>
#include <iostream>
#include <fstream>
#include <sstream>

class csvfile;

inline static csvfile& endrow(csvfile& file);
inline static csvfile& flush(csvfile& file);

bgun

Practicing with IntelliJ and Git

For the things we have to learn before we can do them,
we learn by doing them. ― Aristotle

This exercise is a straightforward recipe for starting a new IntelliJ project, adding a code file, and marrying a local Git repository to a remote GitHub repository. Even if you are comfortable with your Git workflow, you should go through this and understand what is happening - and more specifically, where on your computer's hard drive and on GitHub it is happening.

Repeat this exercise a few times, until you're comfortable. You don't have to memorize each command - that's what cheat sheets are for! - but rather, focus on understanding their relationships to the files on your computer, your development environment (IntelliJ), and GitHub.

Create a new IntelliJ project.

begla

public static float lerp(float x, float x1, float x2, float q00, float q01) {
  return ((x2 - x) / (x2 - x1)) * q00 + ((x - x1) / (x2 - x1)) * q01;
}

public static float biLerp(float x, float y, float q11, float q12, float q21, float q22, float x1, float x2, float y1, float y2) {
  float r1 = lerp(x, x1, x2, q11, q21);
  float r2 = lerp(x, x1, x2, q12, q22);

  return lerp(y, y1, y2, r1, r2);
}