Justin Math Algebra
Download Justin Math Algebra full books in PDF, epub, and Kindle. Read online free Justin Math Algebra ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Justin Skycak |
Publisher | : Justin Skycak |
Total Pages | : 309 |
Release | : 2018-11-26 |
Genre | : Mathematics |
ISBN | : 1730993044 |
Justin Math: Algebra is the first book in a series that covers the foundations of high school and college math: Algebra, Calculus, and Linear Algebra (with Differential Equations baked into the latter two). It provides deep intuition for the core concepts and connections, along with plenty of practice exercises, while remaining as concise as possible. CONTENTS 1. LINEAR EQUATIONS AND SYSTEMS - Solving Linear Equations, Slope-Intercept Form, Point-Slope Form, Standard Form, Linear Systems. 2. QUADRATIC EQUATIONS - Standard Form, Factoring, Quadratic Formula, Completing the Square, Vertex Form, Quadratic Systems. 3. INEQUALITIES - Linear Inequalities in the Number Line, Linear Inequalities in the Plane, Quadratic Inequalities, Systems of Inequalities. 4. POLYNOMIALS - Standard Form and End Behavior, Zeros, Rational Roots and Synthetic Division, Sketching Graphs. 5. RATIONAL FUNCTIONS - Polynomial Long Division, Horizontal Asymptotes, Vertical Asymptotes, Graphing with Horizontal and Vertical Asymptotes, Graphing with Slant and Polynomial Asymptotes. 6. NON-POLYNOMIAL FUNCTIONS - Radical Functions, Exponential and Logarithmic Functions, Absolute Value, Trigonometric Functions, Piecewise Functions. 7. TRANSFORMATIONS OF FUNCTIONS - Shifts, Rescalings, Reflections, Inverse Functions, Compositions.
Author | : Justin Skycak |
Publisher | : Justin Skycak |
Total Pages | : 258 |
Release | : 2019-03-01 |
Genre | : Mathematics |
ISBN | : 1798447487 |
Justin Math: Calculus is the second book in a series that covers the foundations of high school and college math: Algebra, Calculus, and Linear Algebra (with Differential Equations baked into the latter two). It provides deep intuition for the core concepts and connections, along with plenty of practice exercises, while remaining as concise as possible. CONTENTS 1. LIMITS AND DERIVATIVES - Evaluating Limits; Limits by Logarithms, Squeeze Theorem, and Euler's Consant; Derivatives and the Difference Quotient, Power Rule, Chain Rule, Properties of Derivatives, Derivatives of Non-Polynomial Functions, Finding Local Extrema, Differentials and Approximation, L'Hôpital's Rule. 2. INTEGRALS - Antiderivatives, Finding Area, Substitution, Integration by Parts, Improper Integrals. 3. DIFFERENTIAL EQUATIONS - Separation of Variables, Slope Fields and Euler Approximation, Substitution, Characteristic Polynomial, Undetermined Coefficients, Integrating Factors, Variation of Parameters. 4. SERIES - Geometric Series, Tests for Convergence, Taylor Series, Manipulating Taylor Series, Solving Differential Equations with Taylor Series.
Author | : Justin R. Smith |
Publisher | : Justin Smith |
Total Pages | : 637 |
Release | : 2014 |
Genre | : Mathematics |
ISBN | : 1503381536 |
This book is intended for self-study or as a textbook for graduate students or advanced undergraduates. It presupposes some basic knowledge of point-set topology and a solid foundation in linear algebra. Otherwise, it develops all of the commutative algebra, sheaf-theory and cohomology needed to understand the material. It also presents applications to robotics and other fields.
Author | : Justin Skycak |
Publisher | : Justin Skycak |
Total Pages | : 238 |
Release | : 2019-12-22 |
Genre | : Mathematics |
ISBN | : 1679236539 |
Justin Math: Linear Algebra is the third book in a series that covers the foundations of high school and college math: Algebra, Calculus, and Linear Algebra (with Differential Equations baked into the latter two). It provides deep intuition for the core concepts and connections, along with plenty of practice exercises, while remaining as concise as possible. CONTENTS 1. VECTORS - N-Dimensional Space; Dot Product and Cross Product; Lines and Planes; Span, Subspaces, and Reduction; Elimination as Vector Reduction. 2. VOLUME - N-Dimensional Volume Formula; Volume as the Determinant of a Square Linear System; Shearing, Cramer’s Rule, and Volume by Reduction; Higher-Order Variation of Parameters. 3. MATRICES - Linear Systems as Transformations of Vectors by Matrices; Matrix Multiplication; Rescaling, Shearing, and the Determinant; Inverse Matrices. 4. EIGENSPACE - Eigenvalues, Eigenvectors, and Diagonalization; Recursive Sequence Formulas via Diagonalization; Generalized Eigenvectors and Jordan Form; Matrix Exponential and Systems of Linear Differential Equations.
Author | : Justin Clarke-Doane |
Publisher | : Oxford University Press |
Total Pages | : 208 |
Release | : 2020-03-12 |
Genre | : Philosophy |
ISBN | : 0192556800 |
To what extent are the subjects of our thoughts and talk real? This is the question of realism. In this book, Justin Clarke-Doane explores arguments for and against moral realism and mathematical realism, how they interact, and what they can tell us about areas of philosophical interest more generally. He argues that, contrary to widespread belief, our mathematical beliefs have no better claim to being self-evident or provable than our moral beliefs. Nor do our mathematical beliefs have better claim to being empirically justified than our moral beliefs. It is also incorrect that reflection on the genealogy of our moral beliefs establishes a lack of parity between the cases. In general, if one is a moral antirealist on the basis of epistemological considerations, then one ought to be a mathematical antirealist as well. And, yet, Clarke-Doane shows that moral realism and mathematical realism do not stand or fall together — and for a surprising reason. Moral questions, insofar as they are practical, are objective in a sense that mathematical questions are not, and the sense in which they are objective can only be explained by assuming practical anti-realism. One upshot of the discussion is that the concepts of realism and objectivity, which are widely identified, are actually in tension. Another is that the objective questions in the neighborhood of factual areas like logic, modality, grounding, and nature are practical questions too. Practical philosophy should, therefore, take center stage.
Author | : Seth Warner |
Publisher | : Courier Corporation |
Total Pages | : 852 |
Release | : 2012-08-29 |
Genre | : Mathematics |
ISBN | : 0486137090 |
Standard text provides an exceptionally comprehensive treatment of every aspect of modern algebra. Explores algebraic structures, rings and fields, vector spaces, polynomials, linear operators, much more. Over 1,300 exercises. 1965 edition.
Author | : Danica McKellar |
Publisher | : Penguin |
Total Pages | : 433 |
Release | : 2011-06-28 |
Genre | : Mathematics |
ISBN | : 0452297192 |
Actress and New York Times bestselling author Danica McKellar tackles the most feared of all math classes—algreba—in this helpful algebra workbook that’s perfect for high school math students. Algebra: The word alone has been known to strike fear in the hearts of even the best students, but help is here! With her two earlier books, Math Doesn't Suck and Kiss My Math, actress and math genius Danica McKellar shattered the “math nerd” stereotype and empowered girls to conquer middle-school math and pre-algebra. Sizzling with McKellar's trademark sass and style, Hot X: Algebra Exposed shows high schoolers how to master algebra topics like square roots, polynomials, quadratic equations, word problems, and more. In addition to fun extras like personality quizzes, reader polls, and boy-crazy confessionals, Hot X includes: • Time-saving tips and tricks • Sample problems with detailed solutions • Relatable real-world examples
Author | : Justin Solomon |
Publisher | : CRC Press |
Total Pages | : 400 |
Release | : 2015-06-24 |
Genre | : Computers |
ISBN | : 1482251892 |
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig
Author | : Irving Kaplansky |
Publisher | : Courier Corporation |
Total Pages | : 182 |
Release | : 2003-01-01 |
Genre | : Mathematics |
ISBN | : 9780486432335 |
The author of this text seeks to remedy a common failing in teaching algebra: the neglect of related instruction in geometry. Focusing on inner product spaces, orthogonal similarity, and elements of geometry, this volume is illustrated with an abundance of examples, exercises, and proofs and is suitable for both undergraduate and graduate courses. 1974 edition.
Author | : Justin Hill |
Publisher | : Lulu.com |
Total Pages | : 402 |
Release | : 2018-08-22 |
Genre | : Education |
ISBN | : 0359042112 |
This book is not intended for budding mathematicians. It was created for a math program in which most of the students in upper-level math classes are planning to become secondary school teachers. For such students, conventional abstract algebra texts are practically incomprehensible, both in style and in content. Faced with this situation, we decided to create a book that our students could actually read for themselves. In this way we have been able to dedicate class time to problem-solving and personal interaction rather than rehashing the same material in lecture format.