Finite Mathematics: Models and Applications

Features step-by-step examples based on actual data and connects fundamental mathematical modeling skills and decision making concepts to everyday applicability

Featuring key linear programming, matrix, and probability concepts, Finite Mathematics: Models and Applications emphasizes cross-disciplinary applications that relate mathematics to everyday life. The book provides a unique combination of practical mathematical applications to illustrate the wide use of mathematics in fields ranging from business, economics, finance, management, operations research, and the life and social sciences.

In order to emphasize the main concepts of each chapter, Finite Mathematics: Models and Applications features plentiful pedagogical elements throughout such as special exercises, end notes, hints, select solutions, biographies of key mathematicians, boxed key principles, a glossary of important terms and topics, and an overview of use of technology. The book encourages the modeling of linear programs and their solutions and uses common computer software programs such as LINDO. In addition to extensive chapters on probability and statistics, principles and applications of matrices are included as well as topics for enrichment such as the Monte Carlo method, game theory, kinship matrices, and dynamic programming.

Supplemented with online instructional support materials, the book features coverage including:

• Algebra Skills
• Mathematics of Finance
• Matrix Algebra
• Geometric Solutions
• Simplex Methods
• Application Models
• Set and Probability Relationships
• Random Variables and Probability Distributions
• Markov Chains
• Mathematical Statistics
• Enrichment in Finite Mathematics

An ideal textbook, Finite Mathematics: Models and Applications is intended for students in fields from entrepreneurial and economic to environmental and social science, including many in the arts and humanities.

Avainsanat: Finite mathematics; mathematical modeling; algebra; mathematics of finance; matrix algebra; geometric solutions; simplex methods; application models; set and probability relationships; random variables and probability distributions; Markov Chains; Monte Carlo method; mathematical statistics; game theory; kinship matrices; dynamic programing, Probability & Mathematical Statistics, Applied Mathematics, Probability & Mathematical Statistics, Applied Mathematics