Institute for Mathematics and its Applications

Organization profile

Organization profile

The Institute for Mathematics and its Applications was established in 1982 by the National Science Foundation, as a result of a national competition. The Institute connects scientists, engineers, and mathematicians in order to address scientific and technological challenges in a collaborative, engaging environment, developing transformative, new mathematics and exploring its applications, while training the next generation of researchers and educators.

Fingerprint Dive into the research topics where Institute for Mathematics and its Applications is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Convex Body Mathematics
Tiling Mathematics
Surface area Mathematics
Feedback Engineering & Materials Science
Theorem Mathematics
Graph in graph theory Mathematics
Domino Tilings Mathematics
Log-concave Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.


No photo of Ankit Bansal

Ankit Bansal

Person: Professional-in-Training

No photo of Alexander S Estes

Alexander S Estes

Person: Professional-in-Training

No photo of Seyedahmad Mousavi

Seyedahmad Mousavi

Person: Professional-in-Training

Projects 2008 2020

EDT: Math-to-Industry Boot Camp

Santosa, F., Spirn, D. & Tolmasky, C.

National Science Foundation


Project: Research project


Institute for Mathematics and Its Applications

Spirn, D., Tolmasky, C., Wang, J. & Santosa, F.

National Science Foundation


Project: Research project

Harmonic Analysis
Partial differential equation

Research Output 1988 2019

2 Citations (Scopus)

On the entropy power inequality for the rényi entropy of order [0, 1]

Marsiglietti, A. & Melbourne, J. C., Mar 1 2019, In : IEEE Transactions on Information Theory. 65, 3, p. 1387-1396 10 p., 8502868.

Research output: Contribution to journalArticle

6 Citations (Scopus)

A copositive approach for two-stage adjustable robust optimization with uncertain right-hand sides

Xu, G. & Burer, S., May 1 2018, In : Computational Optimization and Applications. 70, 1, p. 33-59 27 p.

Research output: Contribution to journalArticle

Robust Optimization
Linear programming
Computational complexity
3 Citations (Scopus)

A data-driven distributionally robust bound on the expected optimal value of uncertain mixed 0-1 linear programming

Xu, G. & Burer, S., Jan 1 2018, In : Computational Management Science. 15, 1, p. 111-134 24 p.

Research output: Contribution to journalArticle

Linear programming