Helps Students Understand Mathematical Programming Principles
and Solve Real-World Applications
Supplies enough mathematical rigor yet accessible enough for
undergraduates
Integrating a hands-on learning approach, a strong linear algebra
focus, Maple software, and real-world applications, Linear and
Nonlinear Programming with Maple An Interactive, Applications-Based
Approach introduces undergraduate students to the mathematical
concepts and principles underlying linear and nonlinear
programming. This text fills the gap between management science
books lacking mathematical detail and rigor and graduate-level
books on mathematical programming.
Essential linear algebra tools
Throughout the text, topics from a first linear algebra course,
such as the invertible matrix theorem, linear independence,
transpose properties, and eigenvalues, play a prominent role in the
discussion. The book emphasizes partitioned matrices and uses them
to describe the simplex algorithm in terms of matrix
multiplication. This perspective leads to streamlined approaches
for constructing the revised simplex method, developing duality
theory, and approaching the process of sensitivity analysis. The
book also discusses some intermediate linear algebra topics,
including the spectral theorem and matrix norms.
Maple enhances conceptual understanding and helps tackle
problems
Assuming no prior experience with Maple, the author provides a
sufficient amount of instruction for students unfamiliar with the
software. He also includes a summary of Maple commands as well as
Maple worksheets in the text and online. By using Maple s symbolic
computing components, numeric capabilities, graphical versatility,
and intuitive programming structures, students will acquire a deep
conceptual understanding of major mathematical programming
principles, along with the ability to solve moderately sized
real-world applications.
Hands-on activities that engage students
Throughout the book, student understanding is evaluated through
"waypoints" that involve basic computations or short questions.
Some problems require paper-and-pencil calculations; others involve
more lengthy calculations better suited for performing with Maple.
Many sections contain exercises that are conceptual in nature
and/or involve writing proofs. In addition, six substantial
projects in one of the appendices enable students to solve
challenging real-world problems.
General
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