Projects per year

# 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.

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

## Profiles

## Ankit Bansal

- Institute for Mathematics and its Applications - Post-Doctoral Associate

Person: Professional-in-Training

## Alexander S Estes

- Institute for Mathematics and its Applications - Post-Doctoral Associate

Person: Professional-in-Training

## Shannon R Negaard-Paper

- Institute for Mathematics and its Applications - Post-Doctoral Associate

Person: Professional-in-Training

## Projects 2008 2020

## EDT: Math-to-Industry Boot Camp

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

6/1/16 → 5/31/20

Project: Research project

## Institute for Mathematics and Its Applications

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

9/1/15 → 8/31/19

Project: Research project

## Novel Numerical Methods for Partial Differential Equatio

Li, H.

9/1/11 → 6/30/12

Project: Research project

## Research Output 1988 2019

## 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 journal › Article

## 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 journal › Article

## 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 journal › Article