Mathematical Notation: A Guide for Engineers and Scientists

Edward R. Scheinerman

ISBN 10: 1466230525 / ISBN 13: 9781466230521

Edité par CreateSpace Independent Publishing Platform, 2011

A propos de cet article

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

N° de réf. du vendeur BSM.NEAQ

Détails bibliographiques

• Titre: Mathematical Notation: A Guide for Engineers and Scientists
• Éditeur: CreateSpace Independent Publishing Platform
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 1466230525
• ISBN à 13 chiffres: 9781466230521
• Reliure: Couverture souple
• État de l'article: good

A propos de ce titre

Synopsis

Mathematics is a language with a unique vocabulary, written with a dizzying array of often incomprehesnible symbols. If we are unsure of the meaning or usage of a mathematical word, a quick internet search is invaluable. But what are we to do when confronted with some strange mathematical hieroglyph? What does one type into the search bar? This book is the answer! Our goal is to cover mathematical notation commonly used by engineers and scientists---notation a university student is likely to encounter. We make no attempt to teach the mathematics behind these symbols. Rather, our goal is to give reminders of what these symbols mean; from there, we can consult textbooks or resources on the web. The book is organized by mathematical topic, but multiple indices steer the reader to each symbol's explanation. We also show how to produce the symbols in LaTeX and give guidance on their mathematical usage.

À propos de l?auteur

Edward Scheinerman is Vice Dean for Education at the Whiting School of Engineering of the Johns Hopkins University where he is Professor of Applied Mathematics & Statistics with a secondary appointment in Computer Science. Renowned for his clear writing, he has twice won the Mathematical Association of America's Lester R. Ford Award for outstanding mathematical exposition.