Results 21 to 30 of about 5,354,987 (306)
Optimizing Gershgorin for symmetric matrices [PDF]
The Gershgorin Circle Theorem is a well-known and efficient method for bounding the eigenvalues of a matrix in terms of its entries. If $A$ is a symmetric matrix, by writing $A = B + x{\bf 1}$, where ${\bf 1}$ is the matrix with unit entries, we consider the problem of choosing $x$ to give the optimal Gershgorin bound on the eigenvalues of $B$, which ...
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Optimal Symmetric Ratcheting for Secure Communication [PDF]
AbstractTo mitigate state exposure threats to long-lived instant messaging sessions, ratcheting was introduced, which is used in practice in protocols like Signal. However, existing ratcheting protocols generally come with a high cost. Recently, Caforio et al.
Hailun Yan +3 more
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Hahn's Symmetric Quantum Variational Calculus [PDF]
We introduce and develop the Hahn symmetric quantum calculus with applications to the calculus of variations. Namely, we obtain a necessary optimality condition of Euler-Lagrange type and a sufficient optimality condition for variational problems within ...
A. B. Malinowska +28 more
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Periodic Layout Optimization of Cyclic Symmetric Structure
This paper proposes a new optimization method to solve periodic layout optimization of a cyclic symmetric structure by means of the guide-weight method.
Hong-Yu Jiao, Ying Li, Lan-Yu Yang
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In this letter, an analytical method for the beampattern synthesis of symmetric nonuniform array is proposed. This method consists of two steps. In the first step, it acquires a real symmetric excitation by the convex optimization method to attain a ...
Fei Shi, Mengkai Hu, Xiuquan Dou
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A Geodesic Interior-Point Method for Linear Optimization over Symmetric Cones [PDF]
We develop a new interior-point method for symmetric-cone optimization, a common generalization of linear, second-order-cone, and semidefinite programming.
Frank Permenter
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Symmetric Constrained Optimal Control
Abstract This paper extends previous results on symmetry in strictly convex linear model predictive control to non-strictly convex and nonlinear model predictive control. We define symmetry for constrained systems, controllers, and model predictive control problems.
Claus Danielson, Francesco Borrelli
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Numerical optimization for symmetric tensor decomposition [PDF]
We consider the problem of decomposing a real-valued symmetric tensor as the sum of outer products of real-valued vectors. Algebraic methods exist for computing complex-valued decompositions of symmetric tensors, but here we focus on real-valued decompositions, both unconstrained and nonnegative, for problems with low-rank structure.
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Symmetrization and optimal control for elliptic equations [PDF]
We consider an optimal control problem where u ( x ) u(x) satisfies − div ( H ( x ) ∇ u ) = 1 - \operatorname {div}(H(x)\nabla u) = 1 in Ω \Omega and H ( x
Voas, Charles, Yaniro, Daniel
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The Optimum Design of Scanned Linear Antenna Array Using Sine Cosine Optimization Algorithm
In this article, the side lobe level (SLL) of the radiation pattern is reduced, and the first null beam width (FNBW) is kept constant by synthesizing symmetric scanning Linear Antenna Arrays (LAA), which is done by considering excitation amplitude as ...
Al hussein M. Alturfi +2 more
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