In a single-objective setting, nonconvex quadratic problems can equivalently be reformulated as convex problems over the cone of completely positive matrices. In small dimensions this cone equals the cone of matrices which are entrywise nonnegative and positive semidefinite, so the convex...

We develop and implement a portfolio optimization method for building investment portfolios that dominate a given benchmark index in terms of third-degree stochastic dominance. Our approach relies on the properties of the semi-variance function, a refinement of an existing 'super-convex'...

This note develops the solutions of the static portfolio optimization problem in explicit matrix form. Three cases are contemplated and connected, with the derivation of relevant corner solutions: the unconstrained problem in the presence of risky assets only, the constrained one, and the...

This paper reviews various optimization approaches used to address a variety of issues related to risk in agricultural finance and farm management. The central focus is in the Markowitz mean‐variance model, which represents the classical approach to balancing risk and returns in an...

This paper proposes a novel method for enhancing angular resolution in multimedia big data navigation radar system. A new radar scanning model is designed on the basis of quadratic programming theory, by which the proposed Gradient Projection (GP) algorithm is used for solving the optimal...

Traditionally, most applications in the initial stage of forest supply chain deal with sawlogs to sawmills, pulpwood to pulp or paper mills and forest residues to heating plants. However, in the past decades, soaring prices of fossil fuel, global awareness about CO2 emission and increasing...

Introduction to QUBO -- Applications and Computational Advances for Solving the QUBO Model -- Complexity and Polynomially Solvable Special Cases of QUBO -- The Boolean Quadric Polytope -- Autarkies and Persistencies for QUBO -- Mathematical Programming Models and Exact Algorithms -- The Random...