Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Beginning and Intermediate Algebra
🌠 Top Free Python Books - 100% Free or Open Source!
  • Title: Beginning and Intermediate Algebra
  • Author(s) Tyler Wallace
  • Publisher: Lulu.com (2010); eBook (Creative Commons Edition, CCfaculty.org)
  • License(s): CC BY 3.0
  • Hardcover/Paperback: 489 pages
  • eBook: PDF Files
  • Language: English
  • ISBN-10/ASIN: N/A
  • ISBN-13: 978-1458377685
  • Share This:  

Book Description

These books use a teacherly writing style and a careful blend of skills development and conceptual questions to meet the unique needs of the developmental math student. It takes advantage of experiences in the classroom and an editing eye to offer one of the most well-rounded series available, written with the developmental learner in mind.

Topics covered include: pre-algebra review, solving linear equations, graphing linear equations, inequalities, systems of linear equations, polynomials, factoring, rational expressions and equations, radicals, quadratics, and functions including exponential, logarithmic and trigonometric.

About the Authors
  • Jacob Lurie is a professor at Department of Mathematics, Harvard University, Cambridge.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Advanced Modern Algebra (Joseph J. Rotman)

    More than merely a succession of definition-theorem-proofs, this text put results and ideas in context so that students can appreciate why a certain topic is being studied, and where definitions originate.

  • Quaternion Algebras (John Voight)

    This open access textbook presents a comprehensive treatment of the arithmetic theory of Quaternion Algebras and orders, a subject with applications in diverse areas of mathematics. Numerous pathways offer explorations in many different directions.

  • College Algebra (Jay Abramson, et al.)

    Written and reviewed by a team of highly experienced instructors, this book provides a comprehensive and multilayered exploration of algebraic principles. It is suitable for a typical introductory algebra course, and was developed to be used fexibly.

  • Algebra and Trigonometry (Jay Abramson, et al)

    This book provides a comprehensive and multi-layered exploration of algebraic principles. It is suitable for a typical introductory Algebra & Trigonometry course, and was developed to be used flexibly. The book meets the needs of a variety of programs.

  • Linear Algebra, Theory And Applications (Kenneth Kuttler)

    This is a book on linear algebra and matrix theory. It gives a self- contained treatment of linear algebra with many of its most important applications which does not neglect arbitrary fields of scalars and the proofs of the theorems.

  • Linear Algebra (Jim Hefferon)

    This textbook covers linear systems and Gauss' method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues. Each chapter has three or four discussions of additional topics and applications.

  • Abstract Algebra: Theory and Applications (Thomas W Judson)

    This book is designed to teach the principles and theory of abstract algebra to college juniors and seniors in a rigorous manner. Its strengths include a wide range of exercises, both computational and theoretical, plus many nontrivial applications.

  • Algebra: A Classical Approach (Jon Blakely)

    This book provides a complete and contemporary perspective on classical polynomial algebra through the exploration of how it was developed and how it exists today, with discrete explanations from functions to quadratic and linear equations, etc.

  • Algebra: A Computational Introduction (John Scherk)

    This book is a unique approach and presentation, the author demonstrates how software can be used as a problem-solving tool for algebra. It includes many computations, both as examples and as exercises.

  • A Computational Introduction to Number Theory and Algebra

    This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. It covers the basics of number theory, abstract algebra and discrete probability theory.

  • Computer Algebra in Scientific Computing (Andreas Weber, et al.)

    This book is dealing with a broad range of topics, ranging from algorithms, data structures, and implementation techniques for high-performance sparse multivariate polynomial arithmetic to computer algebra problems in quantum computing.

  • Fundamentals of Matrix Algebra (Gregory Hartman)

    A college (or advanced high school) level text dealing with the basic principles of matrix and linear algebra. It covers solving systems of linear equations, matrix arithmetic, the determinant, eigenvalues, and linear transformations.

  • Matrix Algebra (Marco Taboga)

    This is a course in matrix algebra, with a focus on concepts that are often used in probability and statistics. Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory.

  • Matrix Algebra with Computational Applications (Dirk Colbry)

    This book is designed to introduce students to the use of Linear Algebra to solve real-world problems. These materials were developed specifically for students and instructors that emphasizes hands-on problem-solving activities.

  • Lecture Notes of Matrix Computations (Wen-Wei Lin)

    Thoroughly details matrix computations and the accompanying theory alongside the author's useful insights, This book provides a clear and thorough introduction to matrix computations,a key component of scientific computing.

  • Tensor Trigonometry (A.S. Ninul)

    The tensor trigonometry is development of the flat scalar trigonometry from Leonard Euler classic forms into general multi-dimensional tensor forms with vector and scalar orthoprojections and with step by step increasing complexity and opportunities.

  • Classical Algebraic Geometry: A Modern View (Igor V. Dolgachev)

    This detailed exposition makes the rich legacy of classical algebraic geometry accessible to modern algebraic geometers and to others who are interested in applying classical results. Topics include plane algebraic curves of low degree, etc.

  • Applied and Computational Linear Algebra: A First Course

    This book is intended as a text for a graduate course that focuses on applications of linear algebra and on the algorithms used to solve the problems that arise in those applications. It uses matrix theory to understand the workings of the algorithms.

  • Advanced Linear Algebra: Foundations to Frontiers (Robert Geijn)

    The focus is on numerical linear algebra, the study of how theory, algorithms, and computer arithmetic interact. These materials keep the learner engaged by intertwining text, videos, exercises, and programming activities in consumable chunks.

  • Linear Algebra: Foundations to Frontiers (M. Myers, et al.)

    This book is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics. It begins with systems of equations and matrix algebra before moving into the advanced topics.

Book Categories
:
Other Categories
Resources and Links