This text is designed for an introductory course in mathematical analysis. It presents the fundamental concepts and proofs of single variable calculus, providing examples and exercises designed to help the reader develop the ability to work with and do analysis.
"synopsis" may belong to another edition of this title.
Primary Course: Engineering Math/Statistics.
Secondary Market: Electrical Engineering - Engineering Math/Statistics - Probability and Statistics.
The use of real data to illustrate concepts from the book.
Development and exploration of examples and concepts using MATLAB and MathCAD.
Development of spectral density concepts.
Development of techniques for constructing random sequences of numbers with specified probability density function.
Streamlined presentation of rudimentary topics allows you to develop the foundations of calculus in a short period of time.
Numerous examples demonstrate abstract statements in simpler numerical settings.
More than 1,200 varied exercises test comprehension of the developed concepts and promote creative problem-solving skills. For instance, students are required to break down problems into more manageable parts, and many true/false questions require students to first hypothesize and then experiment in order to determine if the correct response calls for a proof or for a counter example.
Advanced topics, such as Cauchy sequences and uniform convergence, may be previewed if time permits and if you feel your students are prepared.
This text complements our more sophisticated analysis texts by Rudin and Lewin.
Use of modern concepts.
This text is designed for an introductory course in mathematical analysis. It presents the fundamental concepts and proofs of single variable calculus, providing examples and exercises designed to help the reader develop the ability to work with and do analysis.
"About this title" may belong to another edition of this title.
Seller: HPB-Red, Dallas, TX, U.S.A.
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