BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Introduction to Scientific Computing : A Matrix Vector Approach Using Matlab

Introduction to Scientific Computing : A Matrix Vector Approach Using Matlab

Introduction to Scientific Computing : A Matrix Vector Approach Using Matlab Paperback - 1999 - 1st Edition

by Charles Van Loan

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

Prentice Hall PTR, 1999. Paperback. Good. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
Ask the seller a question Add to wish list
A$11.61
Free Delivery within USA
Standard delivery: 4 to 8 days
More delivery options
Ships from ThriftBooks (Washington, United States)

Details

  • Title Introduction to Scientific Computing : A Matrix Vector Approach Using Matlab
  • Author Charles Van Loan
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 347
  • Volumes 1
  • Language ENG
  • Publisher Prentice Hall PTR
  • Publication date 1999
  • Bookseller's Inventory # G0131254448I3N00
  • ISBN 9780131254442 / 0131254448
  • Weight 1.2 lbs (0.54 kg)
  • Dimensions 9.24 x 7.5 x 0.68 in (23.47 x 19.05 x 1.73 cm)
  • Category Mathematics
  • Library of Congress subjects Computer science - Mathematics, Computer programming
  • Library of Congress Catalogue Number 96-31544
  • Dewey Decimal Code 510.285
  • Quantity available 1

About ThriftBooks Washington, United States

Biblio member since 2018

From the largest selection of used titles, we put quality, affordable books into the hands of readers

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from ThriftBooks

Reader reviews for Introduction to Scientific Computing : A Matrix Vector Approach Using Matlab

From the publisher

Aimed at both introductory numerical analysis students and higher-level students, this text uses motivational examples and related homework problems using MATLAB, allowing readers to get a personal feel for algorithm strengths and weaknesses, without the distraction of debugging the syntax of a compiled higher level language. In addition to standard topical coverage, each chapter includes: a sketch of a hard problem that involves ill-conditioning and high dimension; at least one theorem with both a rigorous proof and a proof by MATLAB; an experiment to bolster intuition; at least one recursive algorithm; and at least one connection to a real-world application.
tracking-