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Study smarter and stay on top of your differential equations course
with the bestselling Schaum's Outline-now with the NEW Schaum's app
and website! Schaum's Outline of Differential Equations, Fifth
Edition is the go-to study guide for all students of science who
need to learn or refresh their knowledge of differential equations.
With an outline format that facilitates quick and easy review and
mirrors the course in scope and sequence, this book helps you
understand basic concepts and get the extra practice you need to
excel in the course. It supports the all major differential
equations textbooks and is useful for study in Calculus (I, II, and
III), Mathematical Modeling, Introductory Differential Equations
and Differential Equations. Chapters include an Introduction to
Modeling and Qualitative Methods, Classifications of First-Order
Differential Equations, Linear Differential Equations, Variation of
Parameters, Initial-Value Problems for Linear Differential
Equations, Graphical and Numerical Methods for Solving First-Order
Differential Equations, Solutions of Linear Differential Equations
with Constant Coefficients by Laplace Transforms, and more.
Features: NEW to this edition: the new Schaum's app and website!
NEW CHAPTERS include Autonomous Differential Equations and
Qualitative Methods; Eigenvalues and Eigenvectors; three chapters
dealing with Solutions of Systems of Autonomous Equations via
Eigenvalues and Eigenvectors (real and distinct, real and equal,
and complex conjugate Eigenvalues) 20 problem-solving videos online
563 solved problems Outline format provides a quick and easy review
of differential equations Clear, concise explanations of
differential equations concepts Hundreds of examples with
explanations of key concepts Supports all major textbooks for
differential equations courses Appropriate for the following
courses: Calculus (I, II, and III), Mathematical Modeling,
Introductory Differential Equations, and Differential Equations
Linear Algebra: Algorithms, Applications, and Techniques, Fourth
Edition offers a modern and algorithmic approach to computation
while providing clear and straightforward theoretical background
information. The book guides readers through the major
applications, with chapters on properties of real numbers, proof
techniques, matrices, vector spaces, linear transformations, eigen
values, and Euclidean inner products. Appendices on Jordan
canonical forms and Markov chains are included for further study.
This useful textbook presents broad and balanced views of theory,
with key material highlighted and summarized in each chapter. To
further support student practice, the book also includes ample
exercises with answers and hints.
Sabermetrics: Baseball, Steroids, and How the Game has Changed Over
the Past Two Generations offers an introduction to this increasing
area of interest to statisticians, students of the game, and many
others. Pairing a primer on the applied math with an overview of
the origin of the field and its context within baseball today, the
work provides an engaging resource for students and interested
readers. It includes coverage of relevant baseball history, Bill
James and SABR, broken records and steroids. Drawing on the
author's experience teaching the subject at Seton Hall University
since 1988, Sabermetrics also offers practice questions and
solutions for class use.
Matrix Methods: Applied Linear Algebra and Sabermetrics, Fourth
Edition, provides a unique and comprehensive balance between the
theory and computation of matrices. Rapid changes in technology
have made this valuable overview on the application of matrices
relevant not just to mathematicians, but to a broad range of other
fields. Matrix methods, the essence of linear algebra, can be used
to help physical scientists-- chemists, physicists, engineers,
statisticians, and economists-- solve real world problems.
Baseball fans are often passionate about statistics, but true
numbers fanatics want to go beyond the 'baseball card' stats and
make comparisons through other objective means. ""Sabermetrics""
uses algebra to expand on statistics and measure a player's value
to his team and how he ranks among players of different eras. The
mathematical models in this book, a follow-up to ""Understanding
Sabermetrics"" (2008), define the measures, supply examples, and
provide practice problems for readers.
Interest in Sabermetrics has increased dramatically in recent years
as the need to better compare baseball players has intensified
among managers, agents and fans, and even other players. The
authors explain how traditional measures-such as Earned Run
Average, Slugging Percentage, and Fielding Percentage-along with
new statistics-Wins Above Average, Fielding Independent Pitching,
Wins Above Replacement, the Equivalence Coefficient and
others-define the value of players. Actual player statistics are
used in developing models, while examples and exercises are
provided in each chapter. This book serves as a guide for both
beginners and those who wish to be successful in fantasy leagues.
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