Jannah : Home at Last / by Suleiman, Omar, author 656097, Kube Publishing Limited (Online Service) 656100

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Last one standing by Naresh Subhash

“…The question remains: who will be the last one standing?…”
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Least squares and the not-Normal Equations by Wathen, AJ

“…For many of the classic problems of linear algebra, effective and efficient numerical algorithms exist, particularly for situations where dimensions are not too large. <br> The linear least squares problem is one such: excellent algorithms exist when QR factorisation is feasible. …”

THE VALLEY OF FEAR AND HIS LAST BOW / by Doyle, Arthur Conan, Sir, 1859-1930, author 284049

Built to last : the global refugee regime by Ting, Yuanyi

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Distributed Singular Value Decomposition Through Least Squares by Zhao, Freddie

“…We show the efficacy of a distributed stochastic gradient descent algorithm by implementing parallelized alternating least squares and prove theoretical guarantees for its convergence and empirical results, which allow for the development of a simple framework for solving SVD in a correct, scalable, and easily optimizable manner.…”
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Interdigital Sensors : Progress over the Last Two Decades / by Mukhopadhyay, Subhas Chandra, editor 180903, George, Boby, editor 643117, Roy, Joyanta Kumar, editor 643118, Islam, Tarikul, editor 643119

Indonesia’s 2014 elections : will Suharto’s enduring legacy last? by Desker, Barry

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The last flower: transforming inner feelings into innovative solutions by Yeo, Jesvin Puay-Hwa

“…The design brief was inspired by an example from Paul Arden’s book, Documenting a Flower – The Last Flower. Thirty-one visual communication students participated in this research project. …”
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Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction by Nie, Feiping, Xiang, Shiming, Liu, Yun, Hou, Chenping, Zhang, Changshui

“…We show that the orthogonal least squares discriminant analysis is an extension to the null space linear discriminant analysis, and the uncorrelated least squares discriminant analysis is exactly equivalent to the traditional linear discriminant analysis. …”
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Production sequence generation and tolerance allocation for least production cost optimization by Chen, Hang.

“…This thesis presents an approach that is capable of determining the optimal production sequence and its optimal process tolerances to achieve the least production costs.…”
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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) / by Hair, Joseph F., Jr., 1944-, author 644188, Hult, G. Tomas M., author 209503, Ringle, Christian M., author 609755, Sarstedt, Marko, author 627541

Subjects: “…Least squares…”

No One Wants To Be A Parasitologist: The Shrinking Field of America's Least Favorite Animals by Richter, Hannah

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An incremental trust-region method for Robust online sparse least-squares estimation by Rosen, David Matthew, Kaess, Michael, Leonard, John Joseph

“…In this paper we present Robust Incremental least-Squares Estimation (RISE), an incrementalized version of the Powell's Dog-Leg trust-region method suitable for use in online sparse least-squares minimization. …”
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Mitigating quantization effects on distributed sensor fusion : a least squares approach by Zhu, Shanying, Chen, Cailian, Xu, Jinming, Guan, Xinping, Xie, Lihua, Johansson, Karl Henrick

“…To tackle this challenging issue, we introduce the notion of virtual measurements and propose a distributed solution LS-DSFS, which is a combination of a quantized consensus algorithm and the least squares approach. We provide detailed analysis of the LS-DSFS on its performance in terms of unbiasedness and mean square property. …”
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At-least-potentially-non-contrastive transcendence in Tanner’s God and Creation in Christian Theology by Davison, A

Optimizing hybrid energy systems for remote communities in Asia’s least developed countries by Prum, Mengly, Goh, Hui Hwang, Zhang, Dongdong, Dai, Wei, Kurniawan, Tonni Agustiono, Goh, Kai Chen

“…In least-developed countries (LDCs), electricity shortages are the primary barrier to economic and social growth. …”
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One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares by Min, Youngjae

“…By doing so, we bridge two seemingly distinct algorithms in adaptive filtering and machine learning, namely the recursive least-squares (RLS) algorithm and orthogonal gradient descent (OGD). …”
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Strategi Last Minute Study Tenang, Sempat Lagi, Tetapi Jangan Biasakan by Rosjuliana Hidayu, Rosli

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The Value of Demand Forecasting in Stochastic Last-Mile Fleet Sizing and Composition Planning by Zinnenlauf, Philipp, Pina-Pardo, Juan C, Winkenbach, Matthias

Subjects: “…last-mile delivery…”
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