Adams Calculus is intended for the three semester calculus course.Classroom proven in North America and abroad, this classic text has been praised for its high level of mathematical integrity including complete and precise statements of theorems, use of geometric reasoning in applied problems, and the diverse range of applications across the sciences. The Fifth Edition features the inclusion of…
At the summer school in Pisa in September 1996, Luigi Ambrosio and Norman Dancer each gave a course on the geometric problem of evolution of a surface by mean curvature, and degree theory with applications to PDEs respectively. This self-contained presentation accessible to PhD students bridged the gap between standard courses and advanced research on these topics. The resulting book is divided…
Aimed at students seeking a career in science, engineering or mathematics, this text on multivariable calculus emphasizes that calculus is best understood via geometry and interdisciplinary applications. The book includes problem sets and chapter projects that offer a substantial source of applied problems. Also included are chapter-end do-it-yourself projects on topics in science, engineering …
A comprehensive introduction to the concepts and methods of differential calculus, designed for undergraduate students. Topics include limits, continuity, derivatives, successive differentiation, mean value theorems, and applications to curve tracing and optimization. Suitable for mathematics and engineering students seeking a foundational text in analysis.
A well-regarded textbook that emphasizes the fundamental finite‑difference approach for parabolic, hyperbolic, and elliptic PDEs. The second edition expands the scope with topics like finite volume methods, conjugate‑gradient and multigrid solvers, convection–diffusion schemes, symplectic integrators, and enhanced energy‑method analyses
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 classic, example-driven textbook offering in-depth coverage of VHDL's structural, behavioral, and dataflow modeling at multiple abstraction levels. The 2nd edition expands support for VHDL‑93, adding chapters on design flow, interfacing, timing, modeling, logic synthesis, and CPU description styles, with numerous practical examples and appendices
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…
A rigorous yet accessible introduction to numerical analysis that combines foundational theory with algorithmic procedures. Topics include error analysis, direct & iterative methods for linear systems, eigenvalue problems, interpolation, numerical integration, ODE/PDE solvers, finite element & integral equation methods. Adapted from the author’s long-standing undergraduate/graduate teaching a…
An accessible text tailored for health science students, requiring only high-school algebra. Topics include probability, sampling distributions, hypothesis testing, ANOVA, nonparametric methods, vital statistics, life tables, survey design—supported by health-focused examples, learning aids, and numerous exercises.