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least-squares method with 1,000-fold globalsearch optimization interior-point algorithm mathworks matlab r2017b  (MathWorks Inc)


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    MathWorks Inc least-squares method with 1,000-fold globalsearch optimization interior-point algorithm mathworks matlab r2017b
    Least Squares Method With 1,000 Fold Globalsearch Optimization Interior Point Algorithm Mathworks Matlab R2017b, 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/least-square+algorithm+matlab/pmc11381117-80-7-11
    Average 90 stars, based on 1 article reviews
    least-squares method with 1,000-fold globalsearch optimization interior-point algorithm mathworks matlab r2017b - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Keypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons.
    Article Snippet: Data were analyzed using MATLAB R2017b, R2023b, and Python 3.9.7.

    Article Title: Intelligent design of high-performance fluids for thermal management: integrating response surface methodology, weighted Tchebycheff method, and strength Pareto evolutionary algorithm II.
    Article Snippet: All data analysis, modeling, and optimization calculations were conducted using the MATLAB R2017b environment.

    Article Title: Investigation of a 4.3 Gy × 10-Fraction Volumetric Modulated Arc Therapy Protocol for Canine Prostatic Carcinoma: A Normal Tissue Complication Probability Study.
    Article Snippet: The fraction size in canine pelvic tumours has traditionally been limited to minimisze radiation toxicity.. However, advancements in precision radiotherapy techniques have enabled the use of larger fraction sizes, thereby facilitating a reduction in the overall treatment course.. This study assessed the radiation toxicity risks of a 10fraction radiation protocol for canine prostatic carcinoma by calculating normal tissue complication probabilities (NTCPs).

    Article Title: Neural signatures of emotional intent and inference align during social consensus.
    Article Snippet: This session was displayed via MATLAB R2017B on an Apple laptop computer in an experiment room in the lab.

    Article Title: Gait dynamics and brain function abnormalities in Parkinson’s disease with freezing of gait: a clinical study using resting-state fMRI and wearable devices
    Article Snippet: Resting-state fMRI data underwent pre- and post-processing using the Resting-State fMRI Data Analysis Toolkit Plus (RESTplus) v.1.27 ( ) in MATLAB R2017b (The MathWorks Inc., Natick, MA, United States).

    Software:

    Article Title: Packages for absorbent articles
    Article Snippet: .. The color corrected image is then segmented via color thresholding using color analysis software (a suitable image color analysis software is MATLAB R2017b available from The Mathworks, Inc., Natick, MA). ..

    Nuclear Magnetic Resonance:

    Article Title: Differential effects of inulin and fructooligosaccharides on gut microbiota composition and glycemic metabolism in overweight/obese and healthy individuals: a randomized, double-blind clinical trial.
    Article Snippet: All spectra were manually phased, baseline corrected, and calibrated to the chemical shift of TSP using TopSpin (Bruker Biopsin, Germany). .. NMR spectroscopy data were digitalized by Matlab R2017b, and the area normalized by using Matlab R2017b normalization scripts. ..

    Spectroscopy:

    Article Title: Differential effects of inulin and fructooligosaccharides on gut microbiota composition and glycemic metabolism in overweight/obese and healthy individuals: a randomized, double-blind clinical trial.
    Article Snippet: All spectra were manually phased, baseline corrected, and calibrated to the chemical shift of TSP using TopSpin (Bruker Biopsin, Germany). .. NMR spectroscopy data were digitalized by Matlab R2017b, and the area normalized by using Matlab R2017b normalization scripts. ..



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    MathWorks Inc nonnegative linear least-squares spectral unmixing algorithm matlab isqnonneg
    SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral <t>unmixing</t> algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.
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    SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral <t>unmixing</t> algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.
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    Image Search Results


    SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral unmixing algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.

    Journal: Journal of Biomedical Optics

    Article Title: Discrimination of lipid composition and cellular localization in human liver tissues by stimulated Raman scattering microscopy

    doi: 10.1117/1.JBO.29.1.016008

    Figure Lengend Snippet: SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral unmixing algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.

    Article Snippet: A nonnegative linear least-squares spectral unmixing algorithm (MATLAB Isqnonneg) was applied to both the C–H and the fingerprint region spectra for spectral unmixing of each pixel in lipid droplets.

    Techniques: Imaging

    Schematic diagram of the image analysis pipeline and representative SRS images and lipid composition maps of a liver tissue section from a patient with NASH. From the SRS images at 2850 (a) and 2930 cm − 1 (b), we use the R 2850 / 2930 ratiometric image to create a binary lipid map (c). We then perform the linear least-squares spectral unmixing analysis on both C–H and fingerprint region hyperspectral SRS images of lipid molecules (d) and (e) to generate mole percentage maps of free cholesterol, saturated CE, unsaturated CE, and TAG (f)–(i). The percentage maps of free cholesterol and saturated CE are also shown with a scale extending only from 0% to 10% (for cholesterol) and 0% to 40% (for saturated CE) rather than for 0% to 100% to make more apparent the distribution of these lipids that are present in much lower relative percentages than unsaturated CEs and TAGs. Scale bar: 50 μ m .

    Journal: Journal of Biomedical Optics

    Article Title: Discrimination of lipid composition and cellular localization in human liver tissues by stimulated Raman scattering microscopy

    doi: 10.1117/1.JBO.29.1.016008

    Figure Lengend Snippet: Schematic diagram of the image analysis pipeline and representative SRS images and lipid composition maps of a liver tissue section from a patient with NASH. From the SRS images at 2850 (a) and 2930 cm − 1 (b), we use the R 2850 / 2930 ratiometric image to create a binary lipid map (c). We then perform the linear least-squares spectral unmixing analysis on both C–H and fingerprint region hyperspectral SRS images of lipid molecules (d) and (e) to generate mole percentage maps of free cholesterol, saturated CE, unsaturated CE, and TAG (f)–(i). The percentage maps of free cholesterol and saturated CE are also shown with a scale extending only from 0% to 10% (for cholesterol) and 0% to 40% (for saturated CE) rather than for 0% to 100% to make more apparent the distribution of these lipids that are present in much lower relative percentages than unsaturated CEs and TAGs. Scale bar: 50 μ m .

    Article Snippet: A nonnegative linear least-squares spectral unmixing algorithm (MATLAB Isqnonneg) was applied to both the C–H and the fingerprint region spectra for spectral unmixing of each pixel in lipid droplets.

    Techniques: