Get Free Shipping on orders over $79
Studies in Weak Arithmetics : Lecture Notes - Patrick Cegielski

Studies in Weak Arithmetics

By: Patrick Cegielski (Editor)

Paperback | 15 December 2009 | Edition Number 1

At a Glance

Paperback


RRP $65.95

$53.75

18%OFF

or 4 interest-free payments of $13.44 with

 or 

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

The field of weak arithmetics is an application of logical methods to number theory that was developed by mathematicians, philosophers, and theoretical computer scientists. In this volume, after a general presentation of weak arithmetics, the following topics are studied: the properties of integers of a real closed field equipped with exponentiation; conservation results for the induction schema restricted to first-order formulas with a finite number of alternations of quantifiers; a survey on a class of tools called pebble games; the fact that the reals e and pi have approximations expressed by first-order formulas using bounded quantifiers; properties of infinite pictures depending on the universe of sets used; a language that simulates in a sufficiently nice manner all  algorithms of a certain restricted class; the logical complexity of the axiom of infinity in some variants of set theory without the axiom of  foundation; and the complexity to determine whether a trace is included in another one.

More in Computer Science

Microsoft 365 Excel All-in-One For Dummies : Excel for Dummies - David H. Ringstrom
Python All-in-One For Dummies : 3rd Edition - John C. Shovic

RRP $74.95

$52.47

30%
OFF
Microsoft 365 Excel For Dummies : For Dummies (Computer/Tech) - David H. Ringstrom
Agentic AI For Dummies : For Dummies (Computer/Tech) - Pam Baker
Audio Effects : Theory, Implementation and Application - Joshua D. Reiss
Audio Effects : Theory, Implementation and Application - Joshua D. Reiss
AI for Business : A Guide to AI Adoption - Jon Whittle

RRP $49.99

$40.75

18%
OFF
Feature Selection and Feature Extraction on Omics Data - Saurav Mallik