Math 54
Title | Math 54 PDF eBook |
Author | Stephen Hake |
Publisher | Saxon Publishers |
Pages | 170 |
Release | 1995-10 |
Genre | Education |
ISBN |
Math 54
Title | Math 54 PDF eBook |
Author | Stephen Hake |
Publisher | |
Pages | 530 |
Release | 2001 |
Genre | Mathematics |
ISBN |
Announcement
Title | Announcement PDF eBook |
Author | University of Michigan. College of Engineering |
Publisher | UM Libraries |
Pages | 634 |
Release | 1940 |
Genre | Engineering schools |
ISBN |
Catalogue of the University of Michigan
Title | Catalogue of the University of Michigan PDF eBook |
Author | University of Michigan |
Publisher | |
Pages | 1006 |
Release | 1955 |
Genre | |
ISBN |
Announcements for the following year included in some vols.
Physics
Title | Physics PDF eBook |
Author | John H. Saxon, Jr. |
Publisher | Saxon Pub |
Pages | |
Release | 1995-05 |
Genre | Science |
ISBN | 9781565772014 |
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
Title | Math Doesn't Suck PDF eBook |
Author | Danica McKellar |
Publisher | Penguin |
Pages | 337 |
Release | 2007-08-02 |
Genre | Education |
ISBN | 110121371X |
This title has been removed from sale by Penguin Group, USA.
A Course in Convexity
Title | A Course in Convexity PDF eBook |
Author | Alexander Barvinok |
Publisher | American Mathematical Soc. |
Pages | 378 |
Release | 2002-11-19 |
Genre | Mathematics |
ISBN | 0821829688 |
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.