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A meta-interactive neural network for solving time-varying quadratic programming problems. [PDF]
Zhang Z, Sun X, Liu Y, Luo Y.
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Sharp Conditions for the BBM Formula and Asymptotics of Heat Content-Type Energies. [PDF]
Gennaioli L, Stefani G.
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A Geometric Whale Optimization Algorithm with Triangular Flight for Numerical Optimization and Engineering Design. [PDF]
Wei J +11 more
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DQN-empowered energy optimization for wireless powered communication networks. [PDF]
Chen H, Wang X, Yuan L, Wang H.
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A note on I-convergence and I∗ -convergence of an infinite product
Creative Mathematics and Informatics, 2017In this paper, we define I-convergence and I ∗-convergence of an infinite product by Cauchy conditions and prove the relation between these two notions.
MERVE ILKHAN +2 more
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Bayesian deconvolution I: Convergent properties
Nuclear Instruments and Methods, 1978Abstract An iterative procedure to achieve spectral deconvolution by application of Bayes' postulate is presented. An analytical treatment for a Gaussian response function is used to indicate how the resolution attained depends upon the number of iterations.
T.J. Kennett +2 more
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Intuitionistic fuzzy Tribonacci I-convergent sequence spaces
Mathematica Slovaca, 2022Abstract The concept of regular matrix was introduced by Wilansky which was later used to define regular Tribonacci matrix by Yaying and Hazarika. In this paper, by using the domain of regular Tribonacci matrix A = (ajk ) and the concept of ideal convergence, we introduce some intuitionistic fuzzy Tribonacci ideal ...
Khan, Vakeel A., Rahaman, S. K. Ashadul
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Spaces of intuitionistic fuzzy Nörlund $$I-$$convergent sequences
Afrika Matematika, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vakeel A. Khan, Izhar Ali Khan
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Singularly Perturbed Optimal Control Problems. I: Convergence
SIAM Journal on Control and Optimization, 1976The problem studied is as follows: when does the full solution of minimizing $x^0 (T)$, given \[\begin{gathered} \dot x(t) = f(x(t),y(t),u(t)),\quad u(t) \in U, \hfill \\ \varepsilon \dot y(t) = g(x(t),y(t),u(t)),\quad 0 \leqq t \leqq T, \hfill \\ \end{gathered} \] with boundary conditions on x and y, converge in some sense to the reduced solution of ...
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