Mathematics – Decision Science
The mathematics-decision science major is concerned with using mathematics to make appropriate decisions when confronted with complex problems. It can deal with optimizing the design or operation of systems involving machinery, materials, money, and even people.
This interdisciplinary program uses courses from the Falls School of Business to enhance the mathematics major without requiring a double major. The result is a program more focused than a traditional mathematics major, yet still versatile for a broad range of career paths.
Mathematics – Decision Science
Among the classes in the 53-hour major are:
- Differential Equations
- Linear Algebra
- Marketing Research
- Numerical Analysis
- Principles of Management
- Problem Seminar
- Supply Chain Management
Located on the third floor of Decker Hall, the AU Department of Mathematics is an open and inviting space. Four faculty offices open into a common area with whiteboard walls. All who pass through can see mathematics being done.
Decker 338 is a classroom that has been specially designed for mathematics courses. Distinctive features include floor-to-ceiling whiteboard walls and easily movable furniture. Tables in the room provide ample space for notebooks, textbooks, and a laptop. The versatile nature of the furniture allows the room to be transformed to accommodate lectures with 35 students, students working in groups, and smaller seminar-based courses.
Decker 330 serves as the department’s mathematics lab. This room is used for tutoring, seminar space, and a place where students can work on projects together.
Mathematics Student Research
The Anderson University Department of Mathematics offers a unique, hands-on research experience. Undergraduate students work alongside faculty to conduct original research in mathematics. This exciting research into new mathematics is presented in a variety of venues, and includes poster sessions and invited talks at other universities. Opportunities such as these advance our knowledge about God’s creation and develop skills that are essential for students furthering their studies at the graduate level.
Here are samples of the projects that are currently underway:
Adventures in the Quantum Polynomial Ring: Linear Algebra Computations in C Abstract
- The p-polynomials appear as the elements of transition matrices used to convert a special class of bases to the standard basis within the quantum polynomial ring. We examined computational methods for generating p-polynomials. An algorithm for finding a p-polynomial has been known; however, the implementation of this algorithm was not sufficiently fast. Through algorithmic analysis, a change in the implementation language, and the adoption of matrix-based algorithms, significant improvements in speed were realized. Optimization of this process has led to a speedup of over 140,000 times.
- Linear Algebra Computations in C Research Project [PDF]
Adventures in the Quantum Polynomial Ring: Patterns in the p-Polynomials Abstract
- The p-polynomials appear as the elements of transition matrices used to convert a special class of bases to the standard basis within the quantum polynomial ring. The purpose of this study is to analyze these polynomials for patterns and eventually catalog these newly generated p-polynomials for future analysis. The initial strategy for finding these patterns will take advantage of generalized rules from the modified R-polynomials and Kazhdan-Lusztig polynomials. Additional strategies arise by observing new patterns from the list of computer-generated polynomials. We also examine a special class of p-polynomials that are generated by the longest word in the symmetric group and describe patterns in the coefficients of these polynomials.
- Patterns in the p-Polynomials [PDF]
On the Creation of Rank Two Centrosymmetric Matrices
- For any square matrix B, we can create a centrosymmetric matrix A = B+JBJ where J is the skew identity matrix. If the matrix B is created as the outer product of two vectors v and h, the resulting centrosymmetric matrix has a maximal rank of 2. However, not all such rank two matrices can be written in this form. In this work, we fully examine when a 3×3 centrosymmetric matrix can be created from two vectors and generalize our results to larger matrices.
- Creation of Rank Two Centrosymmetric Matrices [PDF]
If you have difficulty accessing the information in the above PDF files, please contact us.
OUR MATHEMATICS – DECISION SCIENCE FACULTY
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Math and Falls School of Business
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