Results 231 to 240 of about 6,923,335 (304)

Designing Culturally Acceptable, Nutritious, and Low Environmental Impact Finnish Diets with Mycoprotein: A Novel Optimization Approach. [PDF]

Curr Dev Nutr
Fu Y, Irz X.
europepmc   +1 more source

Computational protocol to assess the quality of sequencing-based microscopy networks using spatial coherence metrics. [PDF]

STAR Protoc
Fernandez Bonet D, Blumenthal J, Lang S, Dahlberg S, Hoffecker IT.   +4 more
europepmc   +1 more source

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Quadratic Programming

Introduction to Linear Programming, 2020
R. B. Darst
semanticscholar   +4 more sources

Quadratic Programming

Advanced Optimization and Decision-Making Techniques in Textile Manufacturing, 2019
A. Ghosh, P. Mal, A. Majumdar
semanticscholar   +4 more sources

An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians

Mathematical programming, 2021
We consider solving nonlinear optimization problems with a stochastic objective and deterministic equality constraints. We assume for the objective that its evaluation, gradient, and Hessian are inaccessible, while one can compute their stochastic ...
Sen Na, M. Anitescu, M. Kolar
semanticscholar   +1 more source

A parallel variable neighborhood search algorithm with quadratic programming for cardinality constrained portfolio optimization

Knowledge-Based Systems, 2020
Over the years, portfolio optimization remains an important decision-making strategy for investment. The most familiar and widely used approach in the field of portfolio optimization is the mean–variance framework introduced by Markowitz.
Mehmet Anıl Akbay, C. B. Kalayci, Olcay Polat   +2 more
semanticscholar   +1 more source

Quadratic programs with hollows

Mathematical Programming, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boshi Yang, Kurt M. Anstreicher, Samuel Burer   +2 more
openaire   +2 more sources

Quadratic Programming for Multirobot and Task-Space Force Control

IEEE Transactions on robotics, 2019
We have extended the task-space multiobjective controllers that write as quadratic programs (QPs) to handle multirobot systems as a single centralized control.
Karim Bouyarmane, Kevin Chappellet, Joris Vaillant, A. Kheddar   +3 more
semanticscholar   +1 more source

A quadratic programming algorithm

Zeitschrift für Operations Research, 1988
Summary: By using conjugate directions a method for solving convex quadratic programming problems is developed. The algorithm generates a sequence of feasible solutions and terminates after a finite number of iterations. Extensions of the algorithm for nonconvex and large structured quadratic programming problems are discussed.
Michael J. Best, Klaus Ritter 0002
openaire   +2 more sources