We asked mathematicians to choose their favorite shapes and surfaces and tell us why they find them so exciting and ...

A physics MS that solidifies your understanding in core areas of physics with the flexibility to pursue your area of interest. STEM-OPT Visa Eligible: The STEM Optional Practical Training (OPT) ...

Matrix algebra and Gaussian elimination. The geometry of vectors in R2, R3 and Rn. Vector spaces and linear transformation. Introduction to orthogonal geometry and eigenvalue problems. Meets the ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

This undergraduate textbook on Linear Algebra and n-Dimensional Geometry, in a self-teaching style, is invaluable for sophomore level undergraduates in mathematics, engineering, business, and the ...

These rules are relatively simple and easily grasped by any engineering student familiar with matrix operators in linear algebra. More complex problems ... and clear rules for the representation of ...

This article proposes a hyper-heuristic optimizer embedded with a multifeature fusion ensemble estimator (HHO-MFEE) for PCBALS using linear-aligned-heads surface mounters. The objective and ...