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.
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by Kenneth H. Rosen - Mcgraw-Hill College
This is a guide to help you explore concepts in discrete mathematics using the computer system Maple. It is designed to be accessible to those who are complete novices with Maple and with computer programming, but it has much to offer even experts.
by Miguel A. Lerma
Summary of the course CS 310: Mathematical Foundations of Computer Science. It covers concepts of discreet mathematics and applications to computer science, logic and Boolean circuits, functions, sets, relations, databases, finite automata, and more.
by C. D. H. Cooper - Macquarie University
This is a text on discrete mathematics. It includes chapters on logic, set theory and strings and languages. There are some chapters on finite-state machines, some chapters on Turing machines and computability, and a couple of chapters on codes.
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.