Math 54

Math 54

Author: Stephen Hake

Publisher: Saxon Publishers

Published: 1995-10

Total Pages: 170

ISBN-13:

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Announcement

Announcement

Author: University of Michigan. College of Engineering

Publisher: UM Libraries

Published: 1940

Total Pages: 634

ISBN-13:

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Physics

Physics

Author: John H. Saxon, Jr.

Publisher: Saxon Pub

Published: 1995-05

Total Pages:

ISBN-13: 9781565772014

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Physics is equally appropriate for average and gifted students. The entire program is based on introducing a topic to a student and then allowing them to build upon that concept as they learn new ones. Topics are gradually increased in complexity and practiced every day, providing the time required for concepts to become totally familiar. Includes: Student Textbook (Hardcover) 100 Lessons Appendix with selected tables Periodic Table of the Elements Answers to odd-numbered problems Homeschool Packet With Test Forms 25 Test Forms for homeschooling Answer Key to odd-numbered Textbook Problem Sets Answer Key to all homeschool Tests


Math Doesn't Suck

Math Doesn't Suck

Author: Danica McKellar

Publisher: Penguin

Published: 2007-08-02

Total Pages: 337

ISBN-13: 110121371X

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This title has been removed from sale by Penguin Group, USA.


General Register

General Register

Author: University of Michigan

Publisher:

Published: 1950

Total Pages: 1028

ISBN-13:

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Announcements for the following year included in some vols.


A Course in Convexity

A Course in Convexity

Author: Alexander Barvinok

Publisher: American Mathematical Soc.

Published: 2002-11-19

Total Pages: 378

ISBN-13: 0821829688

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Convexity is a simple idea that manifests itself in a surprising variety of places. This fertile field has an immensely rich structure and numerous applications. Barvinok demonstrates that simplicity, intuitive appeal, and the universality of applications make teaching (and learning) convexity a gratifying experience. The book will benefit both teacher and student: It is easy to understand, entertaining to the reader, and includes many exercises that vary in degree of difficulty. Overall, the author demonstrates the power of a few simple unifying principles in a variety of pure and applied problems. The prerequisites are minimal amounts of linear algebra, analysis, and elementary topology, plus basic computational skills. Portions of the book could be used by advanced undergraduates. As a whole, it is designed for graduate students interested in mathematical methods, computer science, electrical engineering, and operations research. The book will also be of interest to research mathematicians, who will find some results that are recent, some that are new, and many known results that are discussed from a new perspective.


Linear Algebra and Its Applications

Linear Algebra and Its Applications

Author: David C. Lay

Publisher:

Published: 2013-07-29

Total Pages: 800

ISBN-13: 9781292020556

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NOTE: This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value--this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. xxxxxxxxxxxxxxx For courses in linear algebra.This package includes MyMathLab(R). With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students' understanding of them is vital to mastering the subject. This text makes these concepts more accessible by introducing them early in a familiar, concrete "Rn" setting, developing them gradually, and returning to them throughout the text so that when they are discussed in the abstract, students are readily able to understand. Personalize learning with MyMathLabMyMathLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. MyMathLab includes assignable algorithmic exercises, the complete eBook, interactive figures, tools to personalize learning, and more.