**Discrete Mathematics with Algorithms**

by M. O. Albertson, J. P. Hutchinson

**Publisher**: J. Wiley 1988**ISBN/ASIN**: 0471849022**ISBN-13**: 9780471849025**Number of pages**: 560

**Description**:

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.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**A Spiral Workbook for Discrete Mathematics**

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.

(

**1164**views)

**Applied Finite 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.

(

**6853**views)

**Temporal Networks**

by

**Petter Holme, Jari SaramÃ¤ki**-

**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.

(

**6214**views)

**Mathematics for Computer Science**

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.

(

**10462**views)