GitHub

sjstheesar/Clp---OR-Optimization

CLP includes primal and dual Simplex solvers. Both dual and primal algorithms can use matrix storage methods provided by the user (0-1 and network matrices are already supported in addition to the ...
JSTOR Daily

ON THE OPTIMIZATION OF EXTRAPOLATION METHODS FOR SINGULAR LINEAR SYSTEMS

Journal of Computational Mathematics, Vol. 26, No. 2 (March 2008), pp. 227-239 (13 pages) We discuss semiconvergence of the extrapolated iterative methods for solving singular linear systems. We ...
GitHub

modeling-examples /optimization202 /Modeling_Session_2

We expand upon the now-classic widget problem even more by incorporting piecewise linear modeling, nonlinear components, and practical ways to deal with uncertainty. There is also a basic portfolio ...
IEEE

Enhanced Control of Nonlinear Cyber-Physical Systems: A Higher-Order Relaxation Matrix-Based Convex Optimization Algorithm

Abstract: This paper investigates the static output feedback (SOF) control problem of T-S fuzzy systems based on higher-order Lyapunov functions (HO-LFs). Firstly, to alleviate the conservatism of ...
Business Wire

Research and Markets: Deterministic Operations Research: Models and Methods in Linear Optimization Is an Excellent Book for Operations Research of Linear Optimization Courses

DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...
IEEE

Non-Linear Data Representation with Machine Learning for Dynamic Covariance Based Financial Portfolio Optimization

Abstract: This study addresses critical gaps in financial risk assessment and portfolio optimization by integrating advanced machine learning (ML) and deep learning (DL) techniques to handle the ...