Results 61 to 70 of about 378,939 (286)
Efficient Digital Predistortion Using Sparse Neural Network
IEEE Access, 2020 This paper proposes an efficient neural-network-based digital predistortion (DPD), named as envelope time-delay neural network (ETDNN) DPD. The method complies with the physical characteristics of radio-frequency (RF) power amplifiers (PAs) and uses a ...
Masaaki Tanio +2 more
doaj +1 more source
Integer Polynomial Optimization in Fixed Dimension
, 2004 We classify, according to their computational complexity, integer optimization problems whose constraints and objective functions are polynomials with integer coefficients and the number of variables is fixed.
Barvinok A. I. +9 more
core +4 more sources
Deterministic Identity Testing for Sum of Read-Once Oblivious Arithmetic Branching Programs [PDF]
, 2015 A read-once oblivious arithmetic branching program (ROABP) is an arithmetic branching program (ABP) where each variable occurs in at most one layer. We give the first polynomial time whitebox identity test for a polynomial computed by a sum of constantly
Gurjar, Rohit +3 more
core +3 more sources
Nanoindentation Criteria for Combinatorial Thin Film Libraries
Advanced Engineering Materials, EarlyView.Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley +1 more source
, 2002 Krentel [J. Comput. System. Sci., 36, pp.490--509] presented a framework for an NP optimization problem that searches an optimal value among exponentially-many outcomes of polynomial-time computations.
C. H. Bennett +14 more
core +2 more sources
Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere
Advanced Engineering Materials, EarlyView.In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May +9 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
پژوهشهای ریاضی, 2021 By using a new search direction, we propose an infeasible interior-point method for monotone linear complementarity problem. The algorithm uses only one feasibility step in each iteration, and we prove that it suffices in order to obtain a polynomial ...
Nezameddin Mahdavi-Amiri +1 more
doaj
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
On the Complexity of Random Quantum Computations and the Jones Polynomial [PDF]
, 2017 There is a natural relationship between Jones polynomials and quantum computation. We use this relationship to show that the complexity of evaluating relative-error approximations of Jones polynomials can be used to bound the classical complexity of ...
Bremner, Michael J., Mann, Ryan L.
core +2 more sources