"A longtime classic text in applied mathematics, this volume also serves as a reference for undergraduate and graduate students of engineering. Topics include real variable theory, complex variables, linear analysis, partial and ordinary differential equations, and other subjects. Answers to selected exercises are provided, along with Fourier and Laplace transformation tables and useful formulas. 1978 edition"--
[624] John Hamal Hubbard and Barbara Burke Hubbard. Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach. Prentice– Hall, Upper Saddle River, NJ, 1999. [406] Jeffrey Humpherys, Preston Redd, and Jeremy West.
Consequently, this book is written in such a way as to establish the mathematical ideas underlying model development independently of a specific application.
[619] Stuart J. Russell and Peter Norvig. Artificial intelligence: A modern approach. Pearson Education, London, second edition, 2003. [319] Sheldon M. Ross. Introduction to probability models. Elsevier/Academic Press, Amsterdam, ...
Stimulating, thought-provoking study shows how abstract methods of pure mathematics can be used to systematize problem-solving techniques in applied mathematics.
Offering a number of mathematical facts and techniques not commonly treated in courses in advanced calculus, this book explores linear algebraic equations, quadratic and Hermitian forms, the calculus of variations, more.
Presents the essential foundations of both the theory and practice of algorithms, approximation, and optimization - essential topics in modern applied and computational mathematics.
J Neurophysiology, 83(2):808–827, 2000. G. Laurent. ... J. Diff. Equat., 158:48–78, 1999. S. R. Lehky. An astable multivibrator model of binocular rivalry. Perception, 17:215–228, ... J. Magee, D. Hoffman, C. Colbert, and D. Johnston.
Definitive look at modern analysis, with views of applications to statistics, numerical analysis, Fourier series, differential equations, mathematical analysis, and functional analysis.
Foundations of Analysis has two main goals.
Mathematical Foundations of Thermodynamics details the core concepts of the mathematical principles employed in thermodynamics. The book discusses the topics in a way that physical meanings are assigned to the theoretical terms.