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A new algorithm for computing the multivariate Faà di Bruno's formula is provided. We use a symbolic approach based on the classical umbral calculus that turns the computation of the multivariate Fa�...

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We scrutinise the evidences recently reported by the ATLAS and CMS collaborations for compatible 750 GeV resonances which appear in the di-photon channels of the two experiments in both the 8 TeV and ...

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We study the constraints implied by partial wave unitarity on new physics in the form of spin-zero di-boson resonances at LHC. We derive the scale where the effective description in terms of the SM su...

Source : https://surabaya.kompas.com/read/2022/01/16/051000878/sungguh-tak-adil-jika-hanya-seorang-yang-khilaf-lalu-diproses-hukum?page=1 Ini quotes dari Al Makin, Rektor UIN Sunan Kalijaga Yogyakart...

We present faster high-accuracy algorithms for computing $\ell_p$-norm minimizing flows. On a graph with $m$ edges, our algorithm can compute a $(1+1/\text{poly}(m))$-approximate unweighted $\ell_p$-n...

A rant, i dunno where to put this but here we go... Gw (M20), for the rest of my life gapernah tau bokap kandung gw kaya gmn. "Ur dad is buying milk" joke became true but anyway... Nyokap nikah lag...

kStatistics is a package in R that serves as a unified framework for estimating univariate and multivariate cumulants as well as products of univariate and multivariate cumulants of a random sample, u...

dalam dunia moden hari ini, ramai pasangan suami isteri terpaksa sama-sama bekerja demi kelangsungan hidup. harga rumah, kos anak-anak, pinjaman belajar, belanja dapur semuanya perlukan dua pendapatan...

In recent years, there have been significant advances in efficiently solving $\ell_s$-regression using linear system solvers and $\ell_2$-regression [Adil-Kyng-Peng-Sachdeva, J. ACM'24]. Would efficie...

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We give almost-linear-time algorithms for constructing sparsifiers with $n\ poly(\log n)$ edges that approximately preserve weighted $(\ell^{2}_2 + \ell^{p}_p)$ flow or voltage objectives on graphs. F...

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Recognizing a speaker's level of commitment to a belief is a difficult task; humans do not only interpret the meaning of the words in context, but also understand cues from intonation and other aspect...

We provide several algorithms for constrained optimization of a large class of convex problems, including softmax, $\ell_p$ regression, and logistic regression. Central to our approach is the notion o...

The NLP community has broadly focused on text-only approaches of cognitive state tasks, but audio can provide vital missing cues through prosody. We posit that text-to-speech models learn to track asp...