Apply the laws of mathematics and computer science to the world around you. The most pressing problems facing society require breakthrough ideas. With a BS in Mathematics with a concentration in ...

The Council of University Senate approved a new major in computational and applied mathematics (CAM) last Tuesday. The new interdisciplinary major combines courses from the mathematics, statistics, ...

Learn how to formulate, solve and analyze real-world problems. As an Applied Mathematics and Statistics major, you will learn how to apply mathematics to solve problems in fields such as business, ...

Article ‘Count’ and ‘Share’ for Institute of Applied Physics and Computational Mathematics (IAPCM) based on listed parameters only. The articles listed below published by authors from Institute of ...

The Department of Engineering Sciences and Applied Mathematics (ESAM) at Northwestern University is highly interdisciplinary and focused on applications. Our faculty and students connect with ...

Career Connections: The Office of Career Services and Cooperative Education hosts a career fair for students to connect with National Labs and federally-funded Research Centers. Jobs at Industry ...

The Applied Mathematics Research Group is one of the largest and most forward-thinking in Canada. Research in this group spans a broad variety of modern topics in applied mathematics, ranging from ...

The Department of Applied Mathematics in the College of Arts and Sciences offers courses and degree programs for undergraduates and graduate students. The Department of Applied Mathematics currently ...

Learn by Doing: Gain experience through an experiential learning component of the program approved by the School of Mathematics and Statistics. Real World Experience: With RIT’s cooperative education ...

Mathematics and its applications have always been intertwined. Geometry developed in support of the great civil engineering projects of Egypt and Greece. At least since the time of Newton, physical ...

We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows. Our design criteria is aimed at preserving the distances between ...