Quadratic regression is a machine learning technique to predict a single numeric value. It is an enhanced form of linear regression. Quadratic regression can handle datasets that have predictors with ...
Abstract: This article presents a neurodynamic approach to nonlinear programming. Motivated by the idea of sequential quadratic programming, a class of two-timescale multilayer recurrent neural ...
Impulse-based representations of earthquake ground motions provide an efficient framework for evaluating critical nonlinear structural responses. However, the direct use of ideal impulse ground ...
Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...
Abstract: We propose a quantum-assisted framework for solving constrained finite-horizon nonlinear optimal control problems using a barrier Sequential Quadratic Programming (SQP) approach. A quantum ...
HiOp is an optimization solver for solving certain mathematical optimization problems expressed as nonlinear programming problems. HiOp is a lightweight HPC solver that leverages application's ...
In magnetic resonance imaging (MRI), maintaining a highly uniform main magnetic field (B 0) is essential for producing detailed images of human anatomy. Passive shimming (PS) is a technique used to ...
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's renowned derivative-free optimization methods, i ...
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