Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Majorization"”.
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Conic Linear Programming in Quantum Information
… family of conversion resource monotones for majorization as a subset of f-divergences. For classical conditional majorization, necessary and sufficient conditions for state conversion are derived in the form of a homogeneous convex function. We unified the pre-existing results under the …
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Systemic risk in financial networks
… in two directions.</p> <p>First, we develop a majorization-based tool to compare financial networks in terms of systemic losses with a focus on the implications of liability concentration. Specifically, we quantify liability concentration by applying the majorization order to the liability …
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Entropic Continuity Bounds & Eventually Entanglement-Breaking Channels
… functions which are decreasing in the majorization pre-order. Continuity bounds provide a quantitative measure of robustness, addressing the following question: If there is some uncertainty or error in the input, how much uncertainty is there in the output? Our technique uses a …
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Locally Adaptive Protocols for Quantum State Discrimination
… for all pre-orders (corresponding to majorization, conditional majorization, and channel majorization respectively), and this defines the unique asymptotically continuous entropy function for classical channels. </p>
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The life of quanta : entanglement wormholes and the second law
… and observation. The powerful tool of spectral majorization enables both simple alternative proofs of the classic Lindblad and Holevo inequalities without using strong subadditivity, and also novel inequalities for decoherence and observation that hold not only for von Neumann entropy, but also …
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Sum-rate maximization in multi-RIS multi-carrier systems through active power allocation and passive beamforming
… with successive convex approximation (SCA) and majorization-minimization (MM)-based solutions. Simulation results confirm that our proposed methods outperform these existing approaches in achievable sum-rate, while maintaining substantially lower complexity than SCA and achieving similar …
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l0 Sparse signal processing and model selection with applications
… measures including those of the l0 norm via the majorization minimization (MM) technique, which is called the QC (quadratic concave) algorithm. The L0LS-CD algorithm is developed further by extending it to its multivariate (V-L0LS-CD (vector L0LS-CD)) and group (gL0LS-CD (group L0LS-CD)) …
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Polynomial methods in statistical inference: Theory and practice
… distance via polynomial interpolation and majorization techniques, we establish the statistical guarantees and adaptive optimality of the proposed procedure, as well as oracle inequality in misspecified models. These results can also be viewed as provable algorithms for generalized method …
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Multi-Platform Molecular Data Integration and Disease Outcome Analysis
… principles like the coordinate descent and majorization-minimization are adopted in the inference process of the coefficients of the Cox model predictors. Through this model, we develop the regulator-target gene relationship to a new one: regulator-target-outcome relationship of a disease. …
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Advancing RIS Optimization: From Ideal to Realistic Models
… coexistence challenge by employing SDR and inner majorization minimization (iMM) for RISs with continuous phase control, and propose an enhanced SDR tailored for discrete RISs. Numerical results reveal both SDR and iMM require at least five bits of discrete phase control for moderate interference …