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.
This comprehensive text covers the theory and practical implementation of multivariate density estimation. It explores kernel methods, bandwidth selection, and high-dimensional data visualization, offering insights into both statistical theory and computational techniques. Suitable for graduate students, researchers, and professionals in statistics and data science.
This book explores how language policy is formulated, interpreted, and implemented in various contexts. Johnson combines theory with examples and case studies, making it accessible to researchers, educators, and students involved in applied linguistics, sociolinguistics, and education.