Rubix982

#include <iostream>
#include <math.h>
#include <string>
using namespace std;

int main(void) {

    uint_fast64_t b, p;
    double start = 2;

Rubix982

#include "stdc++.h"
using namespace std;

// Gives back the number of digits in O(1) time

int main(void) {

    std::cout << "<------- START ------->" << "\n";
    for (int i = 1; i <= 50000; ++i) std::cout << (int) floor( 1 + log10( (double) i ) ) << " " << i << "\n";

Rubix982

#include <iostream>
using namespace std;

/* 
Find nth root of a value a, Code from 
https://www.quora.com/How-do-I-write-a-program-in-C-that-will-compute-the-nth-root-of-a-number-by-using-a-numerical-approximation-Newtons-Method-Calculations-must-be-based-on-just-square-and-or-cubic-roots
*/

double root ( double a, int n );
double IntPowFast( double x, int n );

Rubix982

#include <bits/stdc++.h>
using namespace std;

int main(void)
{
  // Generates the value of the macro PI, without having to rely on an already existing macro in C++
  // Since the macro varies from compiler to compiler
  std::cout << "Value of PI: " << std::setprecision(20) << acos(-1) << std::endl;
  
  return 0;

Rubix982

Lex Fridman And Chris Lattner: on Compilers, LLVM, Swift, TPU, and ML Accelerators - Notes

This is a textual summary and list of notes of the podcast 'Artificial Intelligence Podcast' by Lex Fridman, from the episode Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators.

About Chris Lattner:

Currently senior director at Google, working for projects covering CPU, GPU accelerators for Tensorflow, Google's library for Machine and Deep Learning, also involved in Swift related projects  

What Were Your First Initial Stages?

Performed basic programming by read and copying code from books  Started with simple GWBase, QBasic, then transitioned to Pascal, C, C++, and so and so forth.

Rubix982

Rubix982

Link to google drive for each of the sessions conducted

• Google Drive Link

Individual Lectures

• Binomial
• Cont RV
• Continuous Random Variable
• Cont Joint Probability Distribution Function Correlation

Rubix982

There was an error in your GraphQL query:

Cannot query field "codeinjection_head" on type "GhostSettings".

If you don't expect "codeinjection_head" to exist on the type "GhostSettings" it is most likely a typo.
However, if you expect "codeinjection_head" to exist there are a couple of solutions to common problems:

- If you added a new data source and/or changed something inside gatsby-node.js/gatsby-config.js, please try a restart of your development server
- The field might be accessible in another subfield, please try your query in GraphiQL and use the GraphiQL explorer to see which fields you can query and what shape they have
- You want to optionally use your field "codeinjection_head" and right now it is not used anywhere. Therefore Gatsby can't infer the type and add it to the GraphQL schema. A quick fix is to add a least one entry with that field ("dummy content")

Rubix982

Size of arrays, given as 100.
[ARRAY_A] Time taken to get the array, 5e-06
[ARRAY_B] Time taken to get the array, 2e-06
[ARRAY_C] Time taken to get the array, 2e-06
Overall time taken to generate arrays, 9e-06.

-------------

USING SERIAL:
Overall time taken, using insertion sort - serial, 2e-06.

Rubix982

• OS Concepts
  • Process vs Threads
  • Serial vs Parallel Execution
  • Singlge vs Multithreading Process
• Parallel Computing
  • Computational Problem
  • Applications
  • Why?
  • Limitations Of Serial Computing
• Amdahl's Law