Results 61 to 70 of about 979 (183)
Journal of Inequalities and Applications, 2019 To solve large-scale unconstrained optimization problems, a modified PRP conjugate gradient algorithm is proposed and is found to be interesting because it combines the steepest descent algorithm with the conjugate gradient method and successfully fully ...
Gonglin Yuan, Tingting Li, Wujie Hu
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An Inexact Nonsmooth Quadratic Regularization Algorithm
AxiomsThe quadratic regularization technique is widely used in the literature for constructing efficient algorithms, particularly for solving nonsmooth optimization problems.
Anliang Wang +2 more
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Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
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On Constraint Qualifications and Optimality Conditions in Nonsmooth Semi-infinite Optimization [PDF]
Control and Optimization in Applied MathematicsThe primary objective of this paper is to enhance several well-known geometric constraint qualifications and necessary optimality conditions for nonsmooth semi-infinite optimization problems (SIPs).
Atefeh Hassani Bafrani
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Biotechnology and Bioengineering, Volume 123, Issue 5, Page 1107-1122, May 2026.ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai +9 more
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Optimal Control of the Viscous Wave Equation via the Pontryagin Maximum Principle
Numerical Methods for Partial Differential Equations, Volume 42, Issue 3, May 2026.ABSTRACT A tracking‐type optimal control problem governed by the viscous wave equation with a distributed‐source control and L2$$ {L}^2 $$‐L1$$ {L}^1 $$ control costs is investigated. For this class of PDE‐constrained linear‐convex problems, a Pontryagin maximum principle (PMP) in the PDE setting is derived, and it is shown that the pointwise ...
A. Borzì, S. Roy
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Shock and Vibration, 2020 In the structural topology optimization approaches, the Moving Morphable Component (MMC) is a new method to obtain the optimized structural topologies by optimizing shapes, sizes, and locations of components.
Ruichao Lian +4 more
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A New Nonsmooth Bundle-Type Approach for a Class of Functional Equations in Hilbert Spaces
Journal of Function Spaces, 2017 A new bundle-type approach for solving a class of functional equations is presented by combining bundle idea for nonsmooth optimization with common iterative process for functional equations.
Jie Shen +3 more
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MathematicsThis paper proposes a new proximal iteratively reweighted nuclear norm method for a class of nonconvex and nonsmooth optimization problems. The primary contribution of this work is the incorporation of line search technique based on dimensionality ...
Zhili Ge, Siyu Zhang, Xin Zhang, Yan Cui
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Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments
Frontiers in Robotics and AI, 2019 The existing machine learning algorithms for minimizing the convex function over a closed convex set suffer from slow convergence because their learning rates must be determined before running them.
Kazuhiro Hishinuma, Hideaki Iiduka
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