How to Read and Do Proofs by
The approach used in this text involves categorizing, identifying, and explaining various techniques commonly used in all proofs, regardless of the subject.
How to Read and Do Proofs by
The approach used in this text involves categorizing, identifying, and explaining various techniques commonly used in proofs for engineers, computer scientists, and economists.
How to Read and Do Proofs by
The approach used in this text involves categorizing, identifying, and explaining various techniques commonly used in all proofs, regardless of the subject.
Stochastic Models in Operations Research by
This two-volume set covers stochastic processes, including renewal theory, birth-and-death processes, and Markov chains. It explores the interdependence of stochastic processes, operating characteristics of stochastic systems, and stochastic optimization
Stochastic Models in Operations Research by
This two-volume set covers stochastic processes, including renewal theory, birth-and-death processes, and Markov chains. It explores the interdependence of stochastic processes, operating characteristics of stochastic systems, and stochastic optimization.
The Keys to Advanced Mathematics: Recurrent Themes in Abstract Reasoning by
This book explains the underlying thinking processes used in discrete mathematics, linear algebra, abstract algebra, real analysis, transition-to-advanced math courses, courses on proofs, and mathematical reasoning.
Management Science: The Art of Decision Making by
Teaches the "thinking process" used in quantitative decision-making.
Linear Programming: An Introduction to Finite Improvement Algorithms by
Suitable for undergraduate students of mathematics and graduate students of operations research and engineering, this text covers the basic theory and computation for a first course in linear programming.