Results 21 to 30 of about 1,433,186 (169)
Approximate Multiplier Design Using Novel Dual-Stage 4:2 Compressors
High speed multimedia applications have paved way for a whole new area in high speed error-tolerant circuits with approximate computing. These applications deliver high performance at the cost of reduction in accuracy.
Pranose J. Edavoor +2 more
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Approximate Analytical Technique to Design Reflectarray Antenna
This paper presents an analysis and design for a reflectarray antenna composed of an array of rectangular patches printed on a grounded dielectric slab.
H. M. Yamani +2 more
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Information Matrix-Based Adaptive Sampling in Hull Form Optimisation
Hull form optimisation involves challenges such as large design spaces, numerous design variables, and high nonlinearity. Therefore, optimisation that only use global approximate models alone cannot yield desirable results.
Xuyu Ouyang +5 more
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Matrix concentration inequalities and efficiency of random universal sets of quantum gates [PDF]
For a random set $\mathcal{S} \subset U(d)$ of quantum gates we provide bounds on the probability that $\mathcal{S}$ forms a $\delta$-approximate $t$-design.
Piotr Dulian, Adam Sawicki
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Symplectic Pontryagin approximations for optimal design [PDF]
Summary: The powerful Hamilton-Jacobi theory is used for constructing regularizations and error estimates for optimal design problems. The constructed Pontryagin method is a simple and general method for optimal design and reconstruction: the first, analytical, step is to regularize the Hamiltonian; next the solution to its stationary Hamiltonian ...
Carlsson, Jesper +2 more
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Approximate equations for circular hinge stiffnesses
Flexure hinges are widely used for very high precision mechanisms, such as a high precision linear guide, a nano positioning stage, a robot hand and etc., because of no gap and no friction. Regarding circular hinge stiffnesses, Paros and Weisbord derived
Minoru TABATA
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Approximation Algorithms forD-optimal Design [PDF]
Experimental design is a classical statistics problem, and its aim is to estimate an unknown vector from linear measurements where a Gaussian noise is introduced in each measurement. For the combinatorial experimental design problem, the goal is to pick a subset of experiments so as to make the most accurate estimate of the unknown parameters.
Mohit Singh, Weijun Xie
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Approximation-Aware Design of an Image-Based Control System
Image-based control (IBC) systems are common in many modern applications. In such systems, image-based sensing imposes massive compute workload, making them challenging to implement on embedded platforms.
Sayandip De +3 more
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As one of the most promising energy-efficient emerging paradigms for designing digital systems, approximate computing has attracted a significant attention in recent years.
Pengfei Huang +4 more
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Design of a Computable Approximate Reasoning Logic System for AI
The fuzzy logic reasoning based on the “If... then...” rule is not the inaccurate reasoning of AI against ambiguity because fuzzy reasoning is antilogical. In order to solve this problem, a redundancy theory for discriminative weight filtering containing
Kaidi Liu, Yancang Li, Rong Cui
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