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. …”

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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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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Active vibration control of flexible beam incorporating recursive least square and neural network algorithms. by Abd. Jalil, Nurhanafifi

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Optimal leak factor selection for the output-constrained leaky filtered-input least mean square algorithm by Shi, Dongyuan, Lam, Bhan, Gan, Woon-Seng, Wen, Shulin

“…The leaky filtered-input least mean square (LFxLMS) algorithm is widely used in active noise control applications to minimize the degradation of attenuation performance due to output saturation distortion. …”
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Improved steganalysis technique based on least significant bit using artificial neural network for MP3 files / by Ala Abdulsalam Solyiman Alarood, 1977-, author 607354, Mohammed Jaffer Alhaddad, supervisor 607355, Azizah Abdul Manaf, supervisor 261203, Fakulti Kejuruteraan. Sekolah Komputeran 619086

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Improved steganalysis technique based on least significant bit using artificial neural network for MP3 files / by Ala Abdulsalam Solyiman Alarood, 1977-, author 607354

Weber’s Law of perception is a consequence of resolving the intensity of natural scintillating light and sound with the least possible error by Pednekar, Shourav, Krishnadas, Arun, Cho, Byunggu, Makris, Nicholas C.

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Daily allocation of energy consumption forecasting of a power distribution company using optimized least squares support vector machine by Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md Maruf, Rahaman, Md Atikur, Mohammad, Amin

“…This study presents a novel approach for optimal allocation forecasting of energy consumption in a power distribution company, utilizing the Least Squares Support Vector Machine (LSSVM) optimized by novel variants of the Barnacle Mating Optimizer (BMO) such as the new Gooseneck Barnacle Optimizer and Selective Opposition-based constrained BMO. …”
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Practical implementation of multichannel filtered-x least mean square algorithm based on the multiple-parallel-branch with folding architecture for large-scale active noise control by Shi, Dongyuan, Gan, Woon-Seng, He, Jianjun, Lam, Bhan

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Search for top squark pair production in a final state with at least one hadronically decaying tau lepton in proton-proton collisions at √𝑠 = 13 TeV by Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Schieck, J., Schöfbeck, R.

“…Abstract A search for pair production of the supersymmetric partner of the top quark, the top squark, in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV is presented in final states containing at least one hadronically decaying tau lepton and large missing transverse momentum. …”
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On a problem of El-Zahar and Erdős by Nguyen, T, Scott, A, Seymour, P

“…First, a strengthening: we can ask for one of the two subgraphs to have large chromatic number: that is, for all <i>t</i>, <i>c</i> ≥ 1 there exists <i>d</i> ≥ 1 such that if <i>G</i> has chromatic number at least <i>d</i>, and does not contain the complete graph <i>K_t</i> as a subgraph, then there are anticomplete subgraphs <i>A</i>, <i>B</i>, where <i>A</i> has minimum degree at least <i>c</i> and <i>B</i> has chromatic number at least <i>c</i>.…”