Lecture Notes in Computer Science : International Lecture Series 1991-1992, McMaster University, Hamilton, Ontario, Canada - Peter E. Lauer

Lecture Notes in Computer Science

International Lecture Series 1991-1992, McMaster University, Hamilton, Ontario, Canada

By: Peter E. Lauer (Editor)

Paperback | 16 June 1993

At a Glance

Paperback


$84.99

or 4 interest-free payments of $21.25 with

 or 

Ships in 5 to 7 business days

This collection of papers arose from a series of lectures for workers in computer science and other disciplines. The lectures were intended to familiarize them with some of the most exciting advanced computer based systems for the conceptualization, design, implementation, simulation, and logical analysis of applications in these disciplines. The collection presents some strong motivational points for the use of theory based systems in the areas of functional programming, concurrency, simulation, and automated reasoning, highlighting some of their advantages and disadvantages relative to conventional systems. The papers are mostly the work of individuals who were among the originators of the systemspresented. The volume is intended as a contribution to narrowing the learning gap facing conventional computer users when they wish to use advanced theory based systems. The papers are meant for a wide audience and should not require great mathematical sophistication for their comprehension. The papers contain numerous references for those wishing to pursue a topic in greater depth.

More in Mathematical Theory of Computation

Discrete Mathematics for Computing : Grassroots - Peter Grossman

RRP $150.00

$129.75

13%
OFF
AI Engineering : Building Applications with Foundation Models - Chip Huyen
Foundation Mathematics - K. A. Stroud

RRP $128.99

$109.99

15%
OFF
Introduction to Modern Cryptography : Revised Third Edition - Jonathan  Katz
AI Value Creators : Beyond the Generative AI User Mindset - Dario Gil
Applied Mathematics with F# - Sudipta Mukherjee
Hands-On Generative AI with Transformers and Diffusion Models - Apolinario Passos
Practical Weak Supervision : Doing More with Less Data - Amit Bahree