Students will learn about the most common numerical optimization algorithms for solving smooth unconstrained and constrained optimization problems. They will understand the theoretical foundation and ...

CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance Computing, Intelligent Computing, Scientific Visualization, and Computational ...

a. Supervised learning and unconstrained optimization: deep nets, trees, and kernels b. The tools in the warchest: first and second order methods c. Deep learning and engineering-focused first order ...

Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the ...

This article studies an intertemporal economy with liquidity constrained and unconstrained individuals. We use a stopping time approach to solve the finite horizon-constrained consumption portfolio ...

This result is obtained by first showing that the same result holds for inequality constrained nonlinear least-squares. As a consequence, the presence of (possibly nonconvex) equality/inequality ...

With the introduction of constrained quantization, quantization now has two classifications: constrained quantization and unconstrained quantization. Further, we have introduced another new idea in ...