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active-set matlab algorithm  (MathWorks Inc)


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    MathWorks Inc active-set matlab algorithm
    Active Set Matlab Algorithm, 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/active+set/pm40468560-57-2-3
    Average 90 stars, based on 1 article reviews
    active-set matlab algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Fully automatic online geometric calibration for non-circular cone-beam CT orbits using fiducials with unknown placement
    Article Snippet: Step 5 uses the MATLAB built-in constrained nonlinear optimizer fmincon with the Active Set algorithm (MATLAB and Optimization Toolbox Release 2022b, The MathWorks, Inc., Natick, Massachusetts, USA).

    Article Title: Direction-of-arrival estimation for acoustic signals based on direction-dependent parameter tuning of a bioinspired binaural coupling system.
    Article Snippet: The active-set algorithm [37, 38] in Matlab R2021b (The Mathworks Inc.Natick,MA,USA)was used as optimizer with a step tolerance of 1× 10−12.

    Article Title: Blind deconvolution decreases requirements on temporal resolution of DCE-MRI: Application to 2nd generation pharmacokinetic modeling.
    Article Snippet: Purpose: Dynamic Contrast-Enhanced (DCE) MRI with 2nd generation pharmacokinetic models provides estimates of plasma flow and permeability surface-area product in contrast to the broadly used 1st generation models (e.g. the Tofts models).. However, the use of 2nd generation models requires higher frequency with which the dynamic images are acquired (around 1.5 s per image).. Blind deconvolution can decrease the demands on temporal resolution as shown previously for one of the 1st generation models.

    Article Title: In vivo evaluation of population-specific inversion pulses in parallel transmission.
    Article Snippet: Using the active-set MATLAB algorithm (Mathworks, Natick, MA) the RF amplitudes were optimized following equation (1).

    Article Title: Learning the sound inventory of a complex vocal skill via an intrinsic reward
    Article Snippet: The log-likelihood is maximized through nonlinear constrained optimization using MATLAB’s active set algorithm (fmincon).

    Article Title: Harmonic analysis and optimization for closed-loop superconducting shim coils of 7 T MRI magnet.
    Article Snippet: Funding information Institute of Energy, Hefei Comprehensive National Science Center, Grant/Award Number: 21KZS204; Collaborative Innovation Project of Colleges and Universities of Anhui Province, Grant/Award Number: GXXT-2022-011 Abstract Background: High-resolution brain imaging is crucial in clinical diagnosis and neuroscience, with ultra-high field strength MRI systems (≥ 7 T) offering significant advantages for imaging neuronal microstructures.. However, achieving magnetic field homogeneity is challenging due to engineering faults during the installation of superconducting strip windings and the primary magnet.. Purpose: This study aims to design and optimize active superconducting shim coils for a 7 T animal MRI system, focusing on the impact of safety margin, size, and adjustability of the second-order shim coils on the MRI system’s optimization.

    Article Title: Moving horizon estimation and control of a binary simulated moving bed chromatographic processes with Langmuir isotherms
    Article Snippet: As for the MHE optimization procedure, the active set method implemented in the built-in MATLAB Optimization Toolbox function fmincon is used with the default stopping criteria (Anon, 2022b).



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    MathWorks Inc active set algorithm
    A) Overview of <t>CRISPR</t> screen methodology (adapted from ). B) SW620 KO screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. C) RKO KO screen;-log 10 RRA scores in cells treated with 1.9µM OxPt at Day 20 compared to control untreated cells at Day 20. D) SW620 <t>CRISPRa</t> screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. E) RKO CRISPRa screen;-log 10 RRA scores in cells treated with 1.9µM at Day 20 compared to control untreated cells at Day 20. In each graph, top 5 hits are labeled; significant hits are colored (blue or lilac) while non-significant hits are in grey.
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    MathWorks Inc built-in active-set algorithm
    A) Overview of <t>CRISPR</t> screen methodology (adapted from ). B) SW620 KO screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. C) RKO KO screen;-log 10 RRA scores in cells treated with 1.9µM OxPt at Day 20 compared to control untreated cells at Day 20. D) SW620 <t>CRISPRa</t> screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. E) RKO CRISPRa screen;-log 10 RRA scores in cells treated with 1.9µM at Day 20 compared to control untreated cells at Day 20. In each graph, top 5 hits are labeled; significant hits are colored (blue or lilac) while non-significant hits are in grey.
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    Image Search Results


    A) Overview of CRISPR screen methodology (adapted from ). B) SW620 KO screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. C) RKO KO screen;-log 10 RRA scores in cells treated with 1.9µM OxPt at Day 20 compared to control untreated cells at Day 20. D) SW620 CRISPRa screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. E) RKO CRISPRa screen;-log 10 RRA scores in cells treated with 1.9µM at Day 20 compared to control untreated cells at Day 20. In each graph, top 5 hits are labeled; significant hits are colored (blue or lilac) while non-significant hits are in grey.

    Journal: bioRxiv

    Article Title: A whole genomic CRISPR-Cas9 screen identifies the amino acid transporter SLC43A1 (LAT3) as a major determinant of oxaliplatin sensitivity in colorectal cancer cells

    doi: 10.1101/2025.04.21.649594

    Figure Lengend Snippet: A) Overview of CRISPR screen methodology (adapted from ). B) SW620 KO screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. C) RKO KO screen;-log 10 RRA scores in cells treated with 1.9µM OxPt at Day 20 compared to control untreated cells at Day 20. D) SW620 CRISPRa screen;-log 10 RRA scores in cells treated with 0.38µM ( left ) or 0.5µM OxPt ( right ) at Day 20 compared to control untreated cells at Day 20. E) RKO CRISPRa screen;-log 10 RRA scores in cells treated with 1.9µM at Day 20 compared to control untreated cells at Day 20. In each graph, top 5 hits are labeled; significant hits are colored (blue or lilac) while non-significant hits are in grey.

    Article Snippet: The Human Calabrese CRISPR Activation Pooled Library Set A was a gift from David Root and John Doench (Addgene viral prep #92379-LVC) ( ).

    Techniques: CRISPR, Control, Labeling