Discrete Mathematics with Algorithms
by M. O. Albertson, J. P. Hutchinson
Publisher: J. Wiley 1988
Number of pages: 560
This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in English, in a format compatible with the Pascal programming language.
Home page url
Download or read it online for free here:
(multiple PDF files)
by Harris Kwong - Open SUNY Textbooks
This textbook covers the standard topics in discrete mathematics: logic, sets, proof techniques, basic number theory, functions, relations, and elementary combinatorics. It explains and clarifies the unwritten conventions in mathematics.
by Rupinder Sekhon - Connexions
Applied Finite Mathematics covers topics including linear equations, matrices, linear programming (geometrical approach and simplex method), the mathematics of finance, sets and counting, probability, Markov chains, and game theory.
by Petter Holme, Jari Saramäki - arXiv
In this review, the authors present the emergent field of temporal networks, and discuss methods for analyzing topological and temporal structure and models for elucidating their relation to the behavior of dynamic systems.
by Eric Lehman, F Thomson Leighton, Albert R Meyer - MIT
An introduction to discrete mathematics oriented toward Computer Science and Engineering. Topics covered: Fundamental concepts of Mathematics: sets, functions, number theory; Discrete structures: graphs, counting; Discrete probability theory.