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In this article, we will consider the (k + 1 -linear fractional integral with a multiple variable kernel Ω x, y →.
When consider the case if the multiple kernel function is a multiple variable kernel, by the similar argument as in [3, 8], we can prove Lemma 2.2.
First, we introduce the multilinear fractional maximal function ℳ α f → ( x ) and multilinear fractional maximal function with a multiple variable kernel ℳ Ω, α f → ( x ), respectively.
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This article describes a novel architecture and algorithm that allow the use of an HLL HDL environment to implement high-performance FPGA-based kernels that reduce multiple, variable-length sets of floating-point data.
Granger causality only reveals direct causality between pairwise units with linear interactions, thus conditional and partial Granger causality [ 14, 15] and kernel Granger causality [ 16] have been proposed to deal with indirect causal interactions among multiple variables.
His valuation analysis uses multiple variables, including multiples of price to earnings, price to book and price to cash flow.
It involves multiple variables, but two stand out.
Their model considers multiple variables including: climate records, population density, irrigation and industry. .
Divide expressions with multiple variables.
This can include multiple variables.
You can declare multiple variables at once.
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