**Implementing Mathematics with The Nuprl Proof Development System**

by R. L. Constable, at al.

**Publisher**: Prentice Hall 1986**ISBN/ASIN**: 0134518322**ISBN-13**: 9780134518329

**Description**:

The authors offer a tutorial on the new mathematical ideas which underlie their research. In doing so they have tried to provide several entry points into the material, even at the cost of considerable redundancy. Many of the ideas will be accessible to a well-trained undergraduate with a good background in mathematics and computer science.

Download or read it online for free here:

**Read online**

(online html)

## Similar books

**Strange Attractors: Creating Patterns in Chaos**

by

**Julien C. Sprott**-

**M & T Books**

Chaos and fractals have revolutionized our view of the world. This book shows examples of the artistic beauty that can arise from very simple equations, and teaches the reader how to produce an endless variety of such patterns.

(

**13880**views)

**Mathematics for Computer Scientists**

by

**Gareth J. Janacek, Mark L. Close**-

**BookBoon**

In this textbook you will find the basic mathematics needed by computer scientists. It should help you to understand the meaning of mathematical concepts. Subjects as elementary logic, factorization, plotting functions and matrices are explained.

(

**18872**views)

**Isabelle/HOL: A Proof Assistant for Higher-Order Logic**

by

**T. Nipkow, L.C. Paulson, M. Wenzel**-

**Springer**

This book is a self-contained introduction to interactive proof in higher-order logic, using the proof assistant Isabelle. It is a tutorial for potential users. The book has three parts: Elementary Techniques; Logic and Sets; Advanced Material.

(

**10674**views)

**Probabilistic Programming and Bayesian Methods for Hackers**

by

**Cameron Davidson-Pilon**-

**GitHub, Inc.**

This book is designed as an introduction to Bayesian inference from a computational understanding-first, and mathematics-second, point of view. The book assumes no prior knowledge of Bayesian inference nor probabilistic programming.

(

**16198**views)