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Forward-Mode Differentiation of Maxwell’s Equations [PDF]
ACS Photonics, 2019 We present a previously unexplored forward-mode differentiation method for Maxwell's equations, with applications in the field of sensitivity analysis. This approach yields exact gradients and is similar to the popular adjoint variable method, but provides a significant improvement in both memory and speed scaling for problems involving several output ...
Tyler W. Hughes +3 more
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Differential current-mode clock distribution [PDF]
2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), 2015 In this paper, we present a differential current-mode pulsed flip-flop (DCMPFF) for low-power clock distribution using a representative 45nm CMOS technology. Experimental results show that the DCMPFF has 47% faster clock-to-output (CLK-Q) delay than a traditional voltage-mode (VM) pulsed flip-flop.
Riadul Islam +3 more
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Distributed Conversion of Common-Mode Into Differential-Mode Interference [PDF]
IEEE Transactions on Microwave Theory and Techniques, 2011 In this paper, the mechanisms that lead to the conversion of common-mode (CM) RF interference (RFI) into differential-mode (DM) disturbances, which corrupt the information content of nominal signals and impair the operation of electronic systems, are investigated.
CROVETTI, Paolo Stefano, FIORI, Franco
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SUBDIRECTLY IRREDUCIBLE DIFFERENTIAL MODES [PDF]
International Journal of Algebra and Computation, 2012 We study a variety of modes (idempotent algebras with mutually commuting term operations), so called differential modes, having a strongly solvable chain 0 ≤ α ≤ 1 in their congruence lattices. We show an explicit description of subdirectly irreducible algebras in this variety, and use it to compute residual bounds of its subvarieties. It follows from
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On Differential Equations of Mode 2 [PDF]
Proceedings of the American Mathematical Society, 1965 It is a well-known fact, documented by striking examples, that the solutions of sufficiently nonlinear elliptic differential equations behave quite differently from the solutions of linear elliptic differential equations. Directing one's attention to the study of certain properties of the solutions of certain classes of differential equations, one ...
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Decomposing reverse-mode automatic differentiation
CoRR, 2021 Presented at the LAFI 2021 workshop at POPL, 17 January ...
Roy Frostig +4 more
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Differentiated EU Integration: Maps and Modes [PDF]
SSRN Electronic Journal, 2020 This paper reports a descriptive analysis of the historical development and the modes of differentiated integration in the treaties and legislation of the European Union. Whereas the number of differentiations has increased in the course of European integration, it has remained stationary relative to the growth of the EU’s membership, policy portfolio ...
SCHIMMELFENNIG, Frank, WINZEN, Thomas
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Design of Few-Mode Fibers With M-modes and Low Differential Mode Delay [PDF]
Journal of Lightwave Technology, 2014 In this paper, we investigate the design of few-mode fibers (FMFs) guiding 2 to 12 linearly polarized (LP) modes with low differential mode delay (DMD) over the C-band, suitable for long-haul transmission. Two different types of refractive index profile have been considered: a graded-core with a cladding trench (GCCT) profile and a multi-step-index ...
Ferreira, Filipe +2 more
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Pseudo-Differential Filter Operating in Current Mode [PDF]
2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2018 In the paper, the theory of pseudo-differential filters is examined and supported by designing a fourth-order frequency filter operating in current mode and implemented as cascade connection of two basic second-order blocks. The basic block employs three current conveyors as active elements and four passive elements.
Ondrej Sladok +3 more
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Forward-Mode Automatic Differentiation in Julia
CoRR, 2016 We present ForwardDiff, a Julia package for forward-mode automatic differentiation (AD) featuring performance competitive with low-level languages like C++. Unlike recently developed AD tools in other popular high-level languages such as Python and MATLAB, ForwardDiff takes advantage of just-in-time (JIT) compilation to transparently recompile AD ...
Jarrett Revels +2 more
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