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matlab function lsqlin  (MathWorks Inc)


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    MathWorks Inc matlab function lsqlin
    Matlab Function Lsqlin, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+lsqlin+function/10__1016_slash_j__asr__2024__11__010-171-29-29
    Average 90 stars, based on 1 article reviews
    matlab function lsqlin - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Dynamic Rupture Modeling of the M 7.2 2010 El Mayor‐Cucapah Earthquake: Comparison With a Geodetic Model
    Article Snippet: We use a general least squares inversion scheme with smoothing and right lateral positivity constraints based on the Matlab lsqlin function.

    Article Title: A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic
    Article Snippet: This set of equations was solved by a least square method using the MATLAB lsqlin function (R2020b, Optimization Toolbox), with lower and upper bounds of zero and one on Fi (initialized at 0.20 for each Fi) and Eq. (2) as a further constraint.

    Article Title: Accommodation-invariant computational near-eye displays
    Article Snippet: It should be readily apparent to one having ordinary skill in the art that deconvolution via inverse filtering is merely an illustrative example and other deconvolution methods can be used as appropriate such as (but not limited to) the trust region reflective constrained optimization method implemented in the Matlab lsqlin function.

    Article Title: Sorting-free metabolic profiling uncovers the vulnerability of fatty acid β-oxidation in in vitro quiescence models.
    Article Snippet: Here, for each putatively annotated metabolite retained in step 1, we solved the basic model described in Equation (1) across all cell lines and quiescence stimuli all at once using a multilinear regression scheme (Matlab lsqlin function with model coefficients constrained from 0 to Inf): Imix1 ;1;1;1 Imix1 ;1;1;2 Imix1 ;1;1;3 . . . Imix1 ;1;2;1 Imix1 ;1;2;2 Imix1 ;1;2;3 . . . Imixm ;cl;st;n 2 66666666666666664 3 77777777777777775 β1⁄4 N1;1;1;P;1 N1;1;Q;1;1 0 0 . . . 0 0 N1;1;1;P;2 N1;1;Q;2 0 0 . . . 0 0 N1;1;1;P;3 N1;1;Q;3 0 0 . . . 0 0 . . . . . . . . . . . . . . . . . . . . . 0 0 N1;2;P;1 N1;2;Q;1 . . . 0 0 0 0 N1;2;P;2 N1;2;Q;2 . . . 0 0 0 0 N1;2;P;3 N1;2;Q;3 . . . 0 0 . . . . . . . . . . . . . . . . . . . . . 0 0 0 0 . . . Ncl;st;m;P;n Ncl;st;m;Q;n 2 6666666666666666666666664 3 7777777777777777777777775 α1;1;P α1;1;Q α1;2;P α1;2;Q . . . αcl;st;P αcl;st;Q ; (2) The ion intensity in the mixed sample, Imix, the metabolitespecific MS background signal, β (i.e., the constant term in Equation (1)), and the number of cells in G0 or any other cell cycle phase, NQ and NP, respectively, are measured, while the α coefficients are fitted.

    Article Title: The complexity dividend: when sophisticated inference matters
    Article Snippet: From the response set we estimated the subject integration kernel for the lag Δ t , by finding the weights K p , K 0 ,..., K n of the multiple linear regression model K p (the weight given to the prior ) and K 0 ,..., K n (the weights given to the n +1 most recent observations) were obtained using the Matlab lsqlin function, which minimizes the sum of squared residuals for the system of linear equations, with constraints and 0 ≤ K i ≤ 1, i = { p , 0,..., n }.

    Article Title: Autonomous Data-Driven Manipulation of Unknown Anisotropic Deformable Tissues Using Unmodelled Continuum Manipulators
    Article Snippet: We present an autonomous manipulation approach for tissues with anisotropic deformation behavior using a continuum manipulator.. The key feature of our vision-based study is an online learning and estimation method, which makes its implementation independent of any prior knowledge about (i) the deformation behavior of the tissue and (ii) continuum manipulator as well as (iii) calibration of the vision system with respect to the robot.. This important feature addresses the difficulty of using model-based control approaches in deformation control of a continuum manipulator manipulating an unknown deformable tissue.

    Article Title: Determining the distribution of probes between different subcellular locations through automated unmixing of subcellular patterns
    Article Snippet: The solution was found using quadratic programming methods (the Matlab lsqlin function).

    Article Title: Discrimination between ionic silver and silver nanoparticles in consumer products using graphite furnace atomic absorption spectrometry
    Article Snippet: In this work, a rapid method for discrimination between trace amounts of ionic silver and silver nanoparticles (AgNPs) using graphite furnace atomic absorption spectrometry (GFAAS) was developed.. Systematic studies of the influence of stabilizing agents (Triton X-100, Tween 80, sodium dodecyl sulfate, tetrabutylammonium hydroxide (TBAH), tetramethylammonium hydroxide (TMAH), gelatine, and sodium citrate) on the determination of Ag and AgNPs of diameter 10–100 nm were undertaken.. Careful optimization of atomization conditions (wall or platform atomization, heating rate, atomization temperature) was also completed.



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