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Advanced Engineering Mathematics by Peter V. O'Neil (2011, Hardcover)

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"Advanced Engineering Mathematics by Peter V. O'Neil is a comprehensive textbook in the field of technology and engineering. This hardcover book, published by Course Technology in 2011, contains 893 pages of essential information for students and professionals in the engineering industry. With a focus on engineering mathematics, this textbook covers a wide range of topics and concepts in a clear and detailed manner, making it a valuable resource for those looking to deepen their understanding of engineering principles." Has heavy wear.

About this product

Product Identifiers

PublisherCourse Technology

ISBN-101111427410

ISBN-139781111427412

eBay Product ID (ePID)92978669

Product Key Features

Number of Pages893 Pages

Publication NameAdvanced Engineering Mathematics

LanguageEnglish

SubjectEngineering (General), General

Publication Year2011

TypeTextbook

Subject AreaTechnology & Engineering

AuthorPeter V. O'Neil

FormatHardcover

Dimensions

Item Height1.3 in

Item Weight56.1 Oz

Item Length10.1 in

Item Width8 in

Additional Product Features

Edition Number7

Intended AudienceCollege Audience

Dewey Edition22

IllustratedYes

Dewey Decimal510.2462

SynopsisThrough previous editions, Peter O'Neil has made rigorous engineering mathematics topics accessible to thousands of students by emphasizing visuals, numerous examples, and interesting mathematical models. Now, ADVANCED ENGINEERING MATHEMATICS features revised examples and problems as well as newly added content that has been fine-tuned throughout to improve the clear flow of ideas. The computer plays a more prominent role than ever in generating computer graphics used to display concepts and problem sets. In this new edition, computational assistance in the form of a self contained Maple Primer has been included to encourage students to make use of such computational tools. The content has been reorganized into six parts and covers a wide spectrum of topics including Ordinary Differential Equations, Vectors and Linear Algebra, Systems of Differential Equations and Qualitative Methods, Vector Analysis, Fourier Analysis, Orthogonal Expansions, and Wavelets, and much more.