Results 51 to 60 of about 6,874,253 (304)
, 2012 This paper presents a trajectory generation method that optimizes a quadratic cost functional with respect to linear system dynamics and to linear input and state constraints.
Kennel, Ralph, Stumper, Jean-Francois
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, 2017 Sequential Quadratic Programming (SQP) is a powerful class of algorithms for solving nonlinear optimization problems. Local convergence of SQP algorithms is guaranteed when the Hessian approximation used in each Quadratic Programming subproblem is close ...
Butler, Hans +2 more
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Solving Quadratic Programming Problem Using Van De Panne Method Under Fuzzy Environment [PDF]
المجلة العراقية للعلوم الاحصائية, 2010 In this paper, the solution of Symmetric Fuzzy Quadratic programming is considered by using fuzzy values with special Phases of Van De method , For the founded model ,we use the Kuhn Tucker conditions for solving the Quadratic programming by implementing
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
International Journal of Distributed Sensor Networks, 2020 Power load forecasting is an important guarantee of safe, stable, and economic operation of power systems. It is appropriate to use interval data to represent fuzzy information in power load forecasting.
Xianfei Yang, Xiang Yu, Hui Lu
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On Quadratic Programming with a Ratio Objective
, 2011 Quadratic Programming (QP) is the well-studied problem of maximizing over {-1,1} values the quadratic form \sum_{i \ne j} a_{ij} x_i x_j. QP captures many known combinatorial optimization problems, and assuming the unique games conjecture, semidefinite ...
Bhaskara, Aditya +3 more
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Simultaneous Diagonalization of Matrices and Its Applications in Quadratically Constrained Quadratic Programming [PDF]
SIAM Journal on Optimization, 2015 An equivalence between attainability of simultaneous diagonalization (SD) and hidden convexity in quadratically constrained quadratic programming (QCQP) stimulates us to investigate necessary and sufficient SD conditions, which is one of the open ...
Rujun Jiang, Duan Li
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Mixed-Integer Programming to Solve Distribution Problems
Journal of New Results in Science, 2020 Mixed-integer linear and quadratic programming problems are considered to solve distribution problems in this paper. The first problem is the distribution of proctors with respect to the student placements to the class- rooms by mixed-integer linear ...
Kamil Oruçoğlu +4 more
doaj
Advanced Engineering Materials, EarlyView.A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source