nonlinear least-squares optimization function (MathWorks Inc)
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nonlinear least-squares optimization function
Nonlinear Least Squares Optimization Function, 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/nonlinear+least-squares+optimization+function/us10030320-671-63-67
Average 90 stars, based on 1 article reviews
Nonlinear Least Squares Optimization Function, 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/nonlinear+least-squares+optimization+function/us10030320-671-63-67
Average 90 stars, based on 1 article reviews
nonlinear least-squares optimization function - by Bioz Stars,
2026-11
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Concentration Assay:Article Title: Anti-sigmas for programmable transcriptional regulation Article Snippet: This system was tested at 8 induction levels of the ECF sigma factor (0, 5, 25, 50, 75, 100, 150, 200 μM IPTG) in triplicate to characterize the transfer function. .. Finally, the Hill equation y - y min y max - y min = x n x n + K n where x is the IPTG induction concentration, y is the output (promoter activity), ymax is the maximum output, ymax is the minimum output, K is the half-maximum, and n is the Hill coefficient, was used to fit the data using a nonlinear Article Title: Investigation of the transport and deposition of fullerene (C60) nanoparticles in quartz sands under varying flow conditions. Article Snippet: Y U S O N G L I , † Y O N G G A N G W A N G , ‡ K U R T D . P E N N E L L , ‡ , § A N D L I N D A M . A B R I O L A * , † Department of Civil and Environmental Engineering, Tufts University, 200 College Avenue, Medford, Massachusetts 02155, School of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, Georgia 30332-0512, Department of Neurology, Emory University School of Medicine, 615 Michael Street, Atlanta, Georgia 30322 Article Title: Enhanced mobility of fullerene (C60) nanoparticles in the presence of stabilizing agents. Article Snippet: Experimental and mathematical modeling studies were performed to examine the effects of stabilizing agents on the transport and retention of fullerene nanoparticles (nC60) in water-saturated quartz sand.. Three stabilizing systems were considered: naturally occurring compounds known to stabilize nanoparticles (Suwannee river humic acid (SRHA) and fulvic acid (SRFA)), synthetic additives used to enhance nanoparticle stability (Tween 80, a nonionic surfactant), and residual contaminants resulting from the manufacturing process (tetrahydrofuran (THF)).. The results of column experiments demonstrated that the presence of THF, at concentrations up to 44.5 mg/L, did not alter nC60 transport and retention behavior, whereas addition of SRHA (20 mg C/L), SRFA (20 mg C/ L), or Tween 80 (1000 mg/L) to the influent nC60 suspensions dramatically increased the mobility of nC60, as demonstrated by coincidental nanoparticle and nonreactive tracer effluent breakthrough curves (BTCs) and minimal nC60 retention. Activity Assay:Article Title: Anti-sigmas for programmable transcriptional regulation Article Snippet: This system was tested at 8 induction levels of the ECF sigma factor (0, 5, 25, 50, 75, 100, 150, 200 μM IPTG) in triplicate to characterize the transfer function. .. Finally, the Hill equation y - y min y max - y min = x n x n + K n where x is the IPTG induction concentration, y is the output (promoter activity), ymax is the maximum output, ymax is the minimum output, K is the half-maximum, and n is the Hill coefficient, was used to fit the data using a nonlinear Diffusion-based Assay:Article Title: Regional Patterns of Cerebral Cortical Differentiation Determined by Diffusion Tensor MRI Article Snippet: .. The number of unique voxels in the FA parameter map queried in this way by surface nodes within the isocortical ROI is given for each brain in . table ft1 table-wrap mode=article t1 caption a4 ANCOVA results A Quantitative Model of Regional and Temporal Patterns of Isocortical FA To model the effects of age ( a ), relative distance from the source of the TNG ( d ), primary/nonprimary classification ( P ), and experimental diffusion sensitization scheme ( S ), on cortical FA, the 33 438 data points obtained from the collection of hemispheres were fitted to the expression (1a) in which (1b) using the nonlinear least-squares optimization function Article Title: Regional Patterns of Cerebral Cortical Differentiation Determined by Diffusion Tensor MRI Article Snippet: .. To model the effects of age ( a ), relative distance from the source of the TNG ( d ), primary/nonprimary classification ( P ), and experimental diffusion sensitization scheme ( S ), on cortical FA, the 33 438 data points obtained from the collection of hemispheres were fitted to the expression (1a) in which (1b) using the nonlinear least-squares optimization function Expressing:Article Title: Regional Patterns of Cerebral Cortical Differentiation Determined by Diffusion Tensor MRI Article Snippet: .. The number of unique voxels in the FA parameter map queried in this way by surface nodes within the isocortical ROI is given for each brain in . table ft1 table-wrap mode=article t1 caption a4 ANCOVA results A Quantitative Model of Regional and Temporal Patterns of Isocortical FA To model the effects of age ( a ), relative distance from the source of the TNG ( d ), primary/nonprimary classification ( P ), and experimental diffusion sensitization scheme ( S ), on cortical FA, the 33 438 data points obtained from the collection of hemispheres were fitted to the expression (1a) in which (1b) using the nonlinear least-squares optimization function Article Title: Regional Patterns of Cerebral Cortical Differentiation Determined by Diffusion Tensor MRI Article Snippet: .. To model the effects of age ( a ), relative distance from the source of the TNG ( d ), primary/nonprimary classification ( P ), and experimental diffusion sensitization scheme ( S ), on cortical FA, the 33 438 data points obtained from the collection of hemispheres were fitted to the expression (1a) in which (1b) using the nonlinear least-squares optimization function |