Widely acclaimed algebra text. This book is designed to give the reader insight into the power and beauty that accrues from a rich interplay between different areas of mathematics. The book carefully develops the theory of different algebraic structures, beginning from basic definitions to some in--depth results, using numerous examples and exercises to aid the reader's understanding. In this w…
The Bittinger Worktext Series recognizes that math hasnt changed, but studentsand the way they learn mathhave. This latest edition continues the Bittinger tradition of objective-based, guided learning, while also integrating timely updates to the proven pedagogy. This edition has a greater emphasis on guided learning and helping students get the most out of all of the resources available,…
A clear, application-focused finite math text for students in business, social sciences, and life sciences. Covers linear equations, matrices, linear programming (including simplex), counting methods, probability, statistics, Markov chains, game theory, finance, difference equations, logic, and more. Includes real-world projects, calculator/spreadsheet exercises, and extensive problem sets.
Differential Equations: An Introduction offers a comprehensive and structured approach to ordinary differential equations tailored for undergraduate science and engineering students. The text guides readers through first- and second-order ODEs, systems of linear differential equations, and stability theory, before introducing Laplace transforms and partial differential equations. It combines ri…
A comprehensive text covering the theory and applications of ordinary differential equations, this edition supports a one- or two-semester undergraduate course. It's adaptable for pure or applied emphases, offering a blend of qualitative theory, numerical techniques, and real-world modeling. Exercises include technical writing and group projects; some versions include a CD-ROM or eText enhancement
A mathematically rigorous yet readable introduction to numerical analysis tailored for upper‑division undergraduates and beginning graduate students. Covers foundational theory and practical algorithms—including nonlinear equations, linear systems, eigenvalues, approximation, differentiation, integration, ODEs/PDEs, optimization, and linear programming—with proofs and pseudocode alongside…
This textbook offers an accessible, comprehensive introduction to classroom-based research in second language teaching. It covers both qualitative and quantitative methods, with practical tools for designing and conducting classroom research.