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|GED Preparation 2018 All Subjects: Exam Preparation Book & Practice Test Questions for the GED Test
Lowest new price: $18.00
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Author: Test Prep Books
Test Prep Book's GED Preparation 2018 All Subjects: Exam Preparation Book & Practice Test Questions for the GED Test
Developed by Test Prep Books for test takers trying to achieve a passing score on the GED exam, this comprehensive study guide includes:
•Reasoning through Language Arts
•Detailed Answer Explanations
Disclaimer: GED® is a registered trademark of the American Council on Education (ACE) and administered exclusively by GED Testing Service LLC under license. This material is not endorsed or approved by ACE or GED Testing Service.
Each section of the test has a comprehensive review created by Test Prep Books that goes into detail to cover all of the content likely to appear on the GED test.
The Test Prep Books GED practice test questions are each followed by detailed answer explanations. If you miss a question, it's important that you are able to understand the nature of your mistake and how to avoid making it again in the future. The answer explanations will help you to learn from your mistakes and overcome them.
Understanding the latest test-taking strategies is essential to preparing you for what you will expect on the exam. A test taker has to not only understand the material that is being covered on the test, but also must be familiar with the strategies that are necessary to properly utilize the time provided and get through the test without making any avoidable errors. Test Prep Books has drilled down the top test-taking tips for you to know.
Anyone planning to take this exam should take advantage of the GED study guide review material, practice test questions, and test-taking strategies contained in this Test Prep Books study guide.
|Special Relativity and Classical Field Theory: The Theoretical Minimum
Lowest new price: $19.09
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Author: Leonard Susskind
The third volume in the bestselling physics series cracks open Einstein's special relativity and field theory
Physicist Leonard Susskind and data engineer Art Friedman are back. This time, they introduce readers to Einstein's special relativity and Maxwell's classical field theory. Using their typical brand of real math, enlightening drawings, and humor, Susskind and Friedman walk us through the complexities of waves, forces, and particles by exploring special relativity and electromagnetism. It's a must-read for both devotees of the series and any armchair physicist who wants to improve their knowledge of physics' deepest truths.
|I'm a Math Teacher Of Course I Have Problems: Journal with Lined and Blank Pages for Funny Math Teacher Appreciation Gift
Lowest new price: $6.99
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Author: Teacher Appreciation Quotes and Gifts
Show an awesome Math Teacher how much you appreciate their hard work with this funny Math Teacher quote. Cover: Chalkboard background with Chalk quote: "I'm a Math Teacher of Course I Have Problems" with Math Problems surrounding the funny math quote.
This journal has half lightly lined pages and half blank pages - perfect for classroom notes, lists, math problems, ideas or doodles.
Lines on one side, blank on the opposite side
Soft matte cover with blackboard and chalk funny teacher quote.
Size is 6x9 perfect for purses, bags or desks.
This under ten dollar gift for teachers is a perfect for:
Math Teacher appreciation week gift
End of year teacher gift
Teacher Christmas gift
Teacher gift for men
Teacher gift for women
Mom or Dad Math Teacher
math professor gifts
Math Teacher Gifts under $10
Math Teacher retirement gifts
Your math teacher will appreciate this thoughtful notebook. Please don't give your math teacher yet another mug or candy! Give them something practical and memorable!
|Eigenvalue Distribution of Large Random Matrices (Mathematical Surveys and Monographs)
Lowest new price: $123.96
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List price: $110.00
Author: Leonid Pastur
Random matrix theory is a wide and growing field with a variety of concepts, results, and techniques and a vast range of applications in mathematics and the related sciences. The book, written by well-known experts, offers beginners a fairly balanced collection of basic facts and methods (Part 1 on classical ensembles) and presents experts with an exposition of recent advances in the subject (Parts 2 and 3 on invariant ensembles and ensembles with independent entries). The text includes many of the authors' results and methods on several main aspects of the theory, thus allowing them to present a unique and personal perspective on the subject and to cover many topics using a unified approach essentially based on the Stieltjes transform and orthogonal polynomials. The exposition is supplemented by numerous comments, remarks, and problems. This results in a book that presents a detailed and self-contained treatment of the basic random matrix ensembles and asymptotic regimes. This book will be an important reference for researchers in a variety of areas of mathematics and mathematical physics. Various chapters of the book can be used for graduate courses; the main prerequisite is a basic knowledge of calculus, linear algebra, and probability theory.
|Coding the Matrix: Linear Algebra through Applications to Computer Science
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Author: Philip N. Klein
An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site,
codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics.
Chapters: The Function, The Field, The Vector, The Vector Space, The Matrix, The Basis, Dimension, Gaussian Elimination, The Inner Product, Special Bases, The Singular Value Decomposition, The Eigenvector, The Linear Program
|Matrix Analysis: Second Edition
Lowest new price: $49.47
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Author: Roger A Horn
Brand: Brand: Cambridge University Press
Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This new edition of the acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme, and demonstrates their importance in a variety of applications. The authors have thoroughly revised, updated, and expanded on the first edition. The book opens with an extended summary of useful concepts and facts and includes numerous new topics and features, such as: - New sections on the singular value and CS decompositions - New applications of the Jordan canonical form - A new section on the Weyr canonical form - Expanded treatments of inverse problems and of block matrices - A central role for the Von Neumann trace theorem - A new appendix with a modern list of canonical forms for a pair of Hermitian matrices and for a symmetric-skew symmetric pair - Expanded index with more than 3,500 entries for easy reference - More than 1,100 problems and exercises, many with hints, to reinforce understanding and develop auxiliary themes such as finite-dimensional quantum systems, the compound and adjugate matrices, and the Loewner ellipsoid - A new appendix provides a collection of problem-solving hints.
- Used Book in Good Condition
|Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Author: Trevor Hastie
Brand: CRC Press
Discover New Methods for Dealing with High-Dimensional Data
A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.
Top experts in this rapidly evolving field, the authors describe the lasso for linear regression and a simple coordinate descent algorithm for its computation. They discuss the application of ℓ1 penalties to generalized linear models and support vector machines, cover generalized penalties such as the elastic net and group lasso, and review numerical methods for optimization. They also present statistical inference methods for fitted (lasso) models, including the bootstrap, Bayesian methods, and recently developed approaches. In addition, the book examines matrix decomposition, sparse multivariate analysis, graphical models, and compressed sensing. It concludes with a survey of theoretical results for the lasso.
In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. Data analysts, computer scientists, and theorists will appreciate this thorough and up-to-date treatment of sparse statistical modeling.
|Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace and Virtual Reality
Lowest new price: $88.00
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Author: J. B. Kuipers
Brand: Brand: Princeton University Press
Ever since the Irish mathematician William Rowan Hamilton introduced quaternions in the nineteenth century--a feat he celebrated by carving the founding equations into a stone bridge--mathematicians and engineers have been fascinated by these mathematical objects. Today, they are used in applications as various as describing the geometry of spacetime, guiding the Space Shuttle, and developing computer applications in virtual reality. In this book, J. B. Kuipers introduces quaternions for scientists and engineers who have not encountered them before and shows how they can be used in a variety of practical situations.
The book is primarily an exposition of the quaternion, a 4-tuple, and its primary application in a rotation operator. But Kuipers also presents the more conventional and familiar 3 x 3 (9-element) matrix rotation operator. These parallel presentations allow the reader to judge which approaches are preferable for specific applications. The volume is divided into three main parts. The opening chapters present introductory material and establish the book's terminology and notation. The next part presents the mathematical properties of quaternions, including quaternion algebra and geometry. It includes more advanced special topics in spherical trigonometry, along with an introduction to quaternion calculus and perturbation theory, required in many situations involving dynamics and kinematics. In the final section, Kuipers discusses state-of-the-art applications. He presents a six degree-of-freedom electromagnetic position and orientation transducer and concludes by discussing the computer graphics necessary for the development of applications in virtual reality.
- Used Book in Good Condition
|Fundamentals of Matrix Computations
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Author: David S. Watkins
Brand: Brand: Wiley
This new, modernized edition provides a clear and thoroughintroduction to matrix computations,a key component of scientificcomputing
Retaining the accessible and hands-on style of its predecessor,Fundamentals of Matrix Computations, Third Editionthoroughly details matrix computations and the accompanying theoryalongside the author's useful insights. The book presents the mostimportant algorithms of numerical linear algebra and helps readersto understand how the algorithms are developed and why theywork.
Along with new and updated examples, the Third Editionfeatures:
- A novel approach to Francis' QR algorithm that explains itsproperties without reference to the basic QR algorithm
- Application of classical Gram-Schmidt withreorthogonalization
- A revised approach to the derivation of the Golub-Reinsch SVDalgorithm
- New coverage on solving product eigenvalue problems
- Expanded treatment of the Jacobi-Davidson method
- A new discussion on stopping criteria for iterative methods forsolving linear equations
Throughout the book, numerous new and updatedexercises—ranging from routine computations and verificationsto challenging programming and proofs—are provided, allowingreaders to immediately engage in applying the presented concepts.The new edition also incorporates MATLAB to solve real-worldproblems in electrical circuits, mass-spring systems, and simplepartial differential equations, and an index of MATLAB termsassists readers with understanding the basic concepts related tothe software.
Fundamentals of Matrix Computations, Third Edition is anexcellent book for courses on matrix computations and appliednumerical linear algebra at the upper-undergraduate and graduatelevel. The book is also a valuable resource for researchers andpractitioners working in the fields of engineering and computerscience who need to know how to solve problems involving matrixcomputations.
- Used Book in Good Condition
|Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
Lowest new price: $53.85
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List price: $74.00
Author: Gene H. Golub
Brand: Gene H Golub
The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book to be an indispensible tool.
This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on
• fast transforms
• parallel LU
• discrete Poisson solvers
• structured linear equation problems
• structured eigenvalue problems
• large-scale SVD methods
• polynomial eigenvalue problems
Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature―everything needed to become a matrix-savvy developer of numerical methods and software. The second most cited math book of 2012 according to MathSciNet, the book has placed in the top 10 for since 2005.
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