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Linear and Nonlinear Programming with Maple - An Interactive, Applications-Based Approach (Paperback)
Loot Price: R1,856
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Linear and Nonlinear Programming with Maple - An Interactive, Applications-Based Approach (Paperback)
Expected to ship within 12 - 17 working days
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Helps Students Understand Mathematical Programming Principles and
Solve Real-World Applications Supplies enough mathematical rigor
yet accessible enough for undergraduatesIntegrating a hands-on
learning approach, a strong linear algebra focus, Maple (TM)
software, and real-world applications, Linear and Nonlinear
Programming with Maple (TM): 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 rea
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