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|GED Preparation 2018 All Subjects: Exam Preparation Book & Practice Test Questions for the GED Test
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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
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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.
|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
|Graph Paper Notebook 1/4 inch Squares: Blank Quad Ruled 100+ Pages Large (8.5” x 11”) (Composition Books)
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Author: Studio Kids JK
Graph Paper Notebook 1/4 inch Squares features pages covered with a continuous square grid. The squares have different sizes according to your preference.The lines are often used as guides for plotting mathematical functions or experimental data and drawing two-dimensional graphs. It is the preferred page for mathematical graphing, art projects, statistical charts. Perfect size with its 8.5" x 11" dimensions, you can squeeze it into a bag with ease. It's the perfect size- easy to carry.
|Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
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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.
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
|Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms
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Author: Anne Greenbaum
Brand: Brand: Princeton University Press
Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as information retrieval and animation, and classical topics from physics and engineering. Exercises use MATLAB and promote understanding of computational results.
The book gives instructors the flexibility to emphasize different aspects--design, analysis, or computer implementation--of numerical algorithms, depending on the background and interests of students. Designed for upper-division undergraduates in mathematics or computer science classes, the textbook assumes that students have prior knowledge of linear algebra and calculus, although these topics are reviewed in the text. Short discussions of the history of numerical methods are interspersed throughout the chapters. The book also includes polynomial interpolation at Chebyshev points, use of the MATLAB package Chebfun, and a section on the fast Fourier transform. Supplementary materials are available online.
- Clear and concise exposition of standard numerical analysis topics
- Explores nontraditional topics, such as mathematical modeling and Monte Carlo methods
- Covers modern applications, including information retrieval and animation, and classical applications from physics and engineering
- Promotes understanding of computational results through MATLAB exercises
- Provides flexibility so instructors can emphasize mathematical or applied/computational aspects of numerical methods or a combination
- Includes recent results on polynomial interpolation at Chebyshev points and use of the MATLAB package Chebfun
- Short discussions of the history of numerical methods interspersed throughout
- Supplementary materials available online
- Used Book in Good Condition
|Python: For Beginners: A Crash Course Guide To Learn Python in 1 Week
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Author: Timothy C. Needham
Become a Python Programming Expert With Ease! Python is a simple yet powerful programming language that can enable you to start thinking like a programmer right from the beginning. It is very readable and the stress many beginners face about memorizing arcane syntax typically presented by other programming languages will not affect you at all. Conversely, you will be able to concentrate on learning concepts and paradigms of programming. This book shall introduce you to an easy way to learn Python in just 7 days and in this time, be able to complete your own projects! By reading the book and implementing what you learn herein, you will realize just why major institutions like NASA, Google, Mozilla, Yahoo, Dropbox, IBM, Facebook and many others prefer to use python in their core products, services and business processes. Let’s begin.
Here what you'll learn after downloading this Python for Beginners book: ✓Introduction ✓Chapter 1: Python: A Comprehensive Background ✓Chapter 2: How to Download and Install Python ✓Chapter 3: Python Glossary ✓Chapter 4: Interacting with Python ✓Chapter 5: Using Turtle for a Simple Drawing ✓Chapter 6: Variables ✓Chapter 7: Loops ✓Chapter 8: Native Python Datatypes ✓Chapter 9: Python Dictionaries ✓Chapter 10: Boolean Logic and Conditional Statements ✓Chapter 11: Constructing ‘While’ Loops In Python Chapter 12: Constructing ‘For Loops’ In Python Programming ✓Chapter 13: Constructing Classes and Defining Objects
This Book Is Perfect For: ✓- Total beginners with zero programming experience ✓- Returning professionals who haven’t written code in years ✓- Seasoned professionals looking for a fast, simple, crash course in Python
Download your copy today!
|Matrix Algebra Useful for Statistics (Wiley Series in Probability and Statistics)
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Author: Shayle R. Searle
A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout
This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations. In addition, André I. Khuri, who has extensive research and teaching experience in the field, joins this new edition as co-author. The Second Edition also:
- Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices
- Covers the analysis of balanced linear models using direct products of matrices
- Analyzes multiresponse linear models where several responses can be of interest
- Includes extensive use of SAS, MATLAB, and R throughout
- Contains over 400 examples and exercises to reinforce understanding along with select solutions
- Includes plentiful new illustrations depicting the importance of geometry as well as historical interludes
Matrix Algebra Useful for Statistics, Second Edition is an ideal textbook for advanced undergraduate and first-year graduate level courses in statistics and other related disciplines. The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra.
THE LATE SHAYLE R. SEARLE, PHD, was professor emeritus of biometry at Cornell University. He was the author of Linear Models for Unbalanced Data and Linear Models and co-author of Generalized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, and Variance Components, all published by Wiley. Dr. Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand.
ANDRÉ I. KHURI, PHD, is Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.
- An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
- Deep Learning (Adaptive Computation and Machine Learning)
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics)
- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
- Basics of Matrix Algebra for Statistics with R (Chapman & Hall/CRC The R Series)
- Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
- Matrix Analysis for Statistics (Wiley Series in Probability and Statistics)
- Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition
|Schaum's Outline of Matrix Operations (Schaum's Outlines)
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Author: Richard Bronson
The ideal review for your matrix operations course
More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice.
- 363 detailed problems with step-by-step solutions
- Clear, concise explanations of matrix operations
- Help with Eigenvalues and the QR Algorithm
- A solved-problem approach that teaches you with hands-on help
- Exercises for improving your problem-solving skills
- Matix Operations
- Richard Bronson
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