A thought-provoking new collection of monologs by best-selling author Peg Kehret! Each monolog creates a moment of recognition that makes both the performer and the audience smile — and think! Most are structured to provide insights of discovery to reveal who we are and why. Every young actor performing one of these monologs will recount a memorable event that opened the way to maturity. But there’s more than just provocative thoughts in this collection — many of the monologs can be performed for laughter alone. All monologs are easily adaptable for boys or girls. Sample titles include: I Need a Cell Phone, Toto Tells the Truth about Oz, The Day I Was a Dog, Remembering Little Rock, The Four-Part Plan for a New Me, Taking the SAT and How to Be Proactive in Math.

Relativity theory complexity masks much that is easy to understand – admittedly with a little effort. There is an alternative approach which is logical, simple in principle and capable of being used alongside current theory. This book is about that alternative. Dry academic style is replaced by a fresh easy-to-read open air setting for much of the descriptive background. Plain language is used. Essential math has been kept simple and complete. The approach is logical, progressive and capable of verification. Theoretical analysis includes: Basic Relativity; Starlight Aberration; Simultaneity; Ring Lasers; Galaxy Rotation and Pioneer 10 anomalous acceleration. A new, readable, teachable and believable look at relativity with many relevant applications. An easy introduction to the subject which also invites a closer look at some limitations of current theory.

Math 1-2

Memorizing math facts becomes cool with the only tool kids will ever need to learn them in a flash. With their high-tech gadget-like look and feel, kids won’t hesitate to tuck these handy guides into a pocket or clip them on to a backpack. Full color.

Accommodating both beginning and advanced students, this book establishes a general conceptual framework, in which various learning methods, from statistics, neural networks, and fuzzy logic can be applied–showing that a few fundamental principles underlie most new methods being proposed today in the fields of statistics, engineering, and computer science….contains considerable information on the concept of statistical learning theory…. However, some may find its presentation difficult to follow… (Technometrics, February, 2001)p…well readable… (Zentralblatt Math, Vol.960, No.10 2001).,.well readable… (Zentralblatt Math, Vol.960, No.10 2001)This book contains considerable information on the concept of statistical learning theory…. However, some may find its presentation difficult to follow… (Technometrics, February, 2001)p., .well readable… (Zentralblatt Math, Vol.960, No.10 2001)An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic This book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied-showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples, Learning from Data:br* Relates statistical formulation with the latest methodologies used in artificial neural networks, fuzzy systems, and waveletsbr* Features consistent terminology, chapter summaries, and practical research tipsbr* Emphasizes the conceptual framework provided by Statistical Learning Theory (VC-theory) rather than its commonly practiced mathematical aspectsbr* Provides a detailed description of the new learning methodology called Support Vector Machines (SVM@E¾¸Që… ¾Û€

Bestselling Math Workbook series, aligned to state and national standards

In the first book of her three part series, Hakim invites readers of all ages to meet the forebears of modern science and share in their exciting discoveries in astronomy, math, and physics.

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The Roadmap series has been proven to help students across the country excel on standardized tests—and now new editions are available for the Arizona Instrument to Measure Standards (AIMS) tests.brbrNot only will these guides teach students how to ace the exams, but they will also help them improve their math and reading skills so that they can earn higher grades in school.brbrEach book contains two full-length practice tests, complete with comprehensive explanations for every solution. The lessons are structure like those on the actual AIMS exams—plus each book contains an additional 100 practice questions within the lessons.

From the reviews: This book presents an important and novel approach to Jordan algebras. Jordan algebras have come to play a role in many areas of mathematics, including Lie algebras and the geometry of Chevalley groups. Springer’s work will be of service to research workers familiar with linear algebraic groups who find they need to know something about Jordan algebras and will provide Jordan algebraists with new techniques and a new approach to finite-dimensional algebras over fields. (American Scientist) By placing the classification of Jordan algebras in the perspective of classification of certain root systems, the book demonstrates that the structure theories associative, Lie, and Jordan algebras are not separate creations but rather instances of the one all-encompassing miracle of root systems. … (Math. Reviews)