What Is Random


Download What Is Random PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get What Is Random book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

What Is Random?


What Is Random?

Author: Edward Beltrami

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


DOWNLOAD





This book is intended to provoke, entertain, and inform by challenging the reader's ideas about randomness, providing first one and then another interpretation of what this elusive concept means. As the book progresses, the author teases out the various threads and shows how mathematics, communication engineering, computer science, philosophy, physics, and psychology all contribute to the discourse by illuminating different facets of the same idea. The material in this book should be readily accessible to anyone with experience in undergraduate mathematics, no calculus needed. Three appendices provide some of the background information regarding binary representations and logarithms that are needed. Although an effort is made to justify most statements of a mathematical nature, a few are presented without corroboration, since they entail close-knit arguments that would detract from the main ideas. Readers can safely bypass the details without any loss, andin any case, the fine points are available in the technical notes assembled at the end.

The Random Book


The Random Book

Author: Mathieu Gosselin

language: en

Publisher: Createspace Independent Publishing Platform

Release Date: 2016-11-27


DOWNLOAD





Have you ever wanted to be random but didn't know where to start? Nah, me neither until I wrote this thing. Yeah I write my own description too. This book is the definitive guide to being almost completely random. In this book you will find: No story, no common thread, no pictures, no point, although maybe a little bit cause this sentence is already making a point by trying to be a counter-point. In it, The words 'book' and 'random' are mentioned several times. You'll follow along the story of the writing of this book. It could have been called the meta-book, but it's called the random book cause it's a catchier title and I do the fuck I want, but it's meta as well. This is the description of the book that is meant to tease you into buying it. So just go buy it motherfucker, it's good shit. But If you think it's insulting to be insulting to its audience in a description you should read a self-help book instead. You probably need it. I swear it to your god that you'll love it, get inspired, have high compulsion for Caramel Macchiatos. Simply follow a mad man at work, get inspired, get inspired by a feeling of deja-vu and be tempted to do things for no particular reasons. Mathieu wanted to sell it for a random price to illustrate the concept in an artsy random kind of way but I don't think Amazon support this feature. If that description doesn't make you want to read it, i don't know what will?! BEST DESCRIPTION EVER... Now just go buy that shit before you think about anything. You want it.

Random Walk: A Modern Introduction


Random Walk: A Modern Introduction

Author: Gregory F. Lawler

language: en

Publisher: Cambridge University Press

Release Date: 2010-06-24


DOWNLOAD





Random walks are stochastic processes formed by successive summation of independent, identically distributed random variables and are one of the most studied topics in probability theory. This contemporary introduction evolved from courses taught at Cornell University and the University of Chicago by the first author, who is one of the most highly regarded researchers in the field of stochastic processes. This text meets the need for a modern reference to the detailed properties of an important class of random walks on the integer lattice. It is suitable for probabilists, mathematicians working in related fields, and for researchers in other disciplines who use random walks in modeling.