A Matlab Companion for Multivariable Calculus

This book PDF is perfect for those who love Computers genre, written by Jeffery Cooper and published by Academic Press which was released on 06 May 2024 with total hardcover pages 312. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related A Matlab Companion for Multivariable Calculus books below.

A Matlab Companion for Multivariable Calculus
Author : Jeffery Cooper
File Size : 43,6 Mb
Publisher : Academic Press
Language : English
Release Date : 06 May 2024
ISBN : 9780121876258
Pages : 312 pages
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A Matlab Companion for Multivariable Calculus by Jeffery Cooper Book PDF Summary

Offering a concise collection of MatLab programs and exercises to accompany a third semester course in multivariable calculus, A MatLab Companion for Multivariable Calculus introduces simple numerical procedures such as numerical differentiation, numerical integration and Newton's method in several variables, thereby allowing students to tackle realistic problems. The many examples show students how to use MatLab effectively and easily in many contexts. Numerous exercises in mathematics and applications areas are presented, graded from routine to more demanding projects requiring some programming. Matlab M-files are provided on the Harcourt/Academic Press web site at http://www.harcourt-ap.com/matlab.html. Computer-oriented material that complements the essential topics in multivariable calculus Main ideas presented with examples of computations and graphics displays using MATLAB Numerous examples of short code in the text, which can be modified for use with the exercises MATLAB files are used to implement graphics displays and contain a collection of mfiles which can serve as demos

A Matlab Companion for Multivariable Calculus

Offering a concise collection of MatLab programs and exercises to accompany a third semester course in multivariable calculus, A MatLab Companion for Multivariable Calculus introduces simple numerical procedures such as numerical differentiation, numerical integration and Newton's method in several variables, thereby allowing students to tackle realistic problems. The many examples

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