360 ex 2016 r2 software Search Results


360 2016 r2  (Tecplot Inc)
90
Tecplot Inc 360 2016 r2
360 2016 R2, supplied by Tecplot 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/result/360 2016 r2/product/Tecplot Inc
Average 90 stars, based on 1 article reviews
360 2016 r2 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
matlab r2017a  (MathWorks Inc)
90
MathWorks Inc matlab r2017a
(left) “Spaghetti” plot of all daily satellite-tracked drifter trajectories describing the surface-ocean Lagrangian dynamics in the extended Gulf of Mexico (eGoM) domain. The finite grid used to construct a Markov-chain representation of the dynamics is shown in black. (right) Number of drifters per grid bin independent of the day over 1994–2016 subjected to a fourth-root transformation. Figures constructed using Matlab <t>R2017a</t> ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).
Matlab R2017a, 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/result/matlab r2017a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab r2017a - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
r2017a  (MathWorks Inc)
90
MathWorks Inc r2017a
(left) “Spaghetti” plot of all daily satellite-tracked drifter trajectories describing the surface-ocean Lagrangian dynamics in the extended Gulf of Mexico (eGoM) domain. The finite grid used to construct a Markov-chain representation of the dynamics is shown in black. (right) Number of drifters per grid bin independent of the day over 1994–2016 subjected to a fourth-root transformation. Figures constructed using Matlab <t>R2017a</t> ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).
R2017a, 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/result/r2017a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
r2017a - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


(left) “Spaghetti” plot of all daily satellite-tracked drifter trajectories describing the surface-ocean Lagrangian dynamics in the extended Gulf of Mexico (eGoM) domain. The finite grid used to construct a Markov-chain representation of the dynamics is shown in black. (right) Number of drifters per grid bin independent of the day over 1994–2016 subjected to a fourth-root transformation. Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: (left) “Spaghetti” plot of all daily satellite-tracked drifter trajectories describing the surface-ocean Lagrangian dynamics in the extended Gulf of Mexico (eGoM) domain. The finite grid used to construct a Markov-chain representation of the dynamics is shown in black. (right) Number of drifters per grid bin independent of the day over 1994–2016 subjected to a fourth-root transformation. Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Construct, Transformation Assay

Grouping of the Markov-chain states into classes according to their communication type. Bins indicated with the same color belong to the same class. The are 31 communicating classes covering the eGoM domain. Two of these classes are closed (red boxes) and 2 are both closed and absorbing (black boxes); they do not offer any insight into the Lagrangian dynamics other than mere beaching of drifters. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Grouping of the Markov-chain states into classes according to their communication type. Bins indicated with the same color belong to the same class. The are 31 communicating classes covering the eGoM domain. Two of these classes are closed (red boxes) and 2 are both closed and absorbing (black boxes); they do not offer any insight into the Lagrangian dynamics other than mere beaching of drifters. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques:

Forward evolution of an initially uniformly distributed tracer under the action of the transition matrix P . The tracer concentration is normalized by the mean concentration and subjected to a fourth-root transformation. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Forward evolution of an initially uniformly distributed tracer under the action of the transition matrix P . The tracer concentration is normalized by the mean concentration and subjected to a fourth-root transformation. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Concentration Assay, Transformation Assay

(left) Selected left eigenvector fields of the transition matrix P showing the locations of almost-invariant regions of forward-time attraction. (right) Corresponding right eigenvector fields showing the backward-time basins of attraction for the attractors on the left. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: (left) Selected left eigenvector fields of the transition matrix P showing the locations of almost-invariant regions of forward-time attraction. (right) Corresponding right eigenvector fields showing the backward-time basins of attraction for the attractors on the left. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques:

First 30 eigenvalues of the transition matrix P computed using two-day-long drifter trajectory data (dots) and uncertainties (gray shade) representing the total variation across eigenvalues computed from an ensemble of P s produced by randomly perturbing the trajectories. Computations and visualization carried using Matlab R2017a ( http://www.mathworks.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: First 30 eigenvalues of the transition matrix P computed using two-day-long drifter trajectory data (dots) and uncertainties (gray shade) representing the total variation across eigenvalues computed from an ensemble of P s produced by randomly perturbing the trajectories. Computations and visualization carried using Matlab R2017a ( http://www.mathworks.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Produced

Main (left) and refined (right) dynamical geographies with weakly interacting provinces corresponding to domains of attraction associated to the largest almost-invariant attractors identified. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Main (left) and refined (right) dynamical geographies with weakly interacting provinces corresponding to domains of attraction associated to the largest almost-invariant attractors identified. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques:

Forward evolution under the action of the transition matrix P of tracers released at various localized regions with dynamical geographic divisions overlaid. The tracer concentration is normalized by the mean concentration. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Forward evolution under the action of the transition matrix P of tracers released at various localized regions with dynamical geographic divisions overlaid. The tracer concentration is normalized by the mean concentration. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Concentration Assay

Evolution of normalized drifter densities for all drifters that have gone through the locations indicated in the left column at some point in time. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Evolution of normalized drifter densities for all drifters that have gone through the locations indicated in the left column at some point in time. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques:

(left) “Spaghetti” plot of all daily satellite-tracked drifter trajectories describing the surface-ocean Lagrangian dynamics in the extended Gulf of Mexico (eGoM) domain. The finite grid used to construct a Markov-chain representation of the dynamics is shown in black. (right) Number of drifters per grid bin independent of the day over 1994–2016 subjected to a fourth-root transformation. Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: (left) “Spaghetti” plot of all daily satellite-tracked drifter trajectories describing the surface-ocean Lagrangian dynamics in the extended Gulf of Mexico (eGoM) domain. The finite grid used to construct a Markov-chain representation of the dynamics is shown in black. (right) Number of drifters per grid bin independent of the day over 1994–2016 subjected to a fourth-root transformation. Figures constructed using Matlab R2017a ( http://www.mathworks.com/ ) and Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Construct, Transformation Assay

Grouping of the Markov-chain states into classes according to their communication type. Bins indicated with the same color belong to the same class. The are 31 communicating classes covering the eGoM domain. Two of these classes are closed (red boxes) and 2 are both closed and absorbing (black boxes); they do not offer any insight into the Lagrangian dynamics other than mere beaching of drifters. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Grouping of the Markov-chain states into classes according to their communication type. Bins indicated with the same color belong to the same class. The are 31 communicating classes covering the eGoM domain. Two of these classes are closed (red boxes) and 2 are both closed and absorbing (black boxes); they do not offer any insight into the Lagrangian dynamics other than mere beaching of drifters. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques:

Forward evolution of an initially uniformly distributed tracer under the action of the transition matrix P . The tracer concentration is normalized by the mean concentration and subjected to a fourth-root transformation. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Forward evolution of an initially uniformly distributed tracer under the action of the transition matrix P . The tracer concentration is normalized by the mean concentration and subjected to a fourth-root transformation. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Concentration Assay, Transformation Assay

(left) Selected left eigenvector fields of the transition matrix P showing the locations of almost-invariant regions of forward-time attraction. (right) Corresponding right eigenvector fields showing the backward-time basins of attraction for the attractors on the left. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: (left) Selected left eigenvector fields of the transition matrix P showing the locations of almost-invariant regions of forward-time attraction. (right) Corresponding right eigenvector fields showing the backward-time basins of attraction for the attractors on the left. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques:

First 30 eigenvalues of the transition matrix P computed using two-day-long drifter trajectory data (dots) and uncertainties (gray shade) representing the total variation across eigenvalues computed from an ensemble of P s produced by randomly perturbing the trajectories. Computations and visualization carried using Matlab R2017a ( http://www.mathworks.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: First 30 eigenvalues of the transition matrix P computed using two-day-long drifter trajectory data (dots) and uncertainties (gray shade) representing the total variation across eigenvalues computed from an ensemble of P s produced by randomly perturbing the trajectories. Computations and visualization carried using Matlab R2017a ( http://www.mathworks.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Produced

Main (left) and refined (right) dynamical geographies with weakly interacting provinces corresponding to domains of attraction associated to the largest almost-invariant attractors identified. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Main (left) and refined (right) dynamical geographies with weakly interacting provinces corresponding to domains of attraction associated to the largest almost-invariant attractors identified. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques:

Forward evolution under the action of the transition matrix P of tracers released at various localized regions with dynamical geographic divisions overlaid. The tracer concentration is normalized by the mean concentration. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Forward evolution under the action of the transition matrix P of tracers released at various localized regions with dynamical geographic divisions overlaid. The tracer concentration is normalized by the mean concentration. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: Concentration Assay

Evolution of normalized drifter densities for all drifters that have gone through the locations indicated in the left column at some point in time. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Journal: Scientific Reports

Article Title: Lagrangian dynamical geography of the Gulf of Mexico

doi: 10.1038/s41598-017-07177-w

Figure Lengend Snippet: Evolution of normalized drifter densities for all drifters that have gone through the locations indicated in the left column at some point in time. Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Article Snippet: Computations carried using Matlab R2017a ( http://www.mathworks.com/ ) and visualization using Tecplot 360 2016 R2 ( http://www.tecplot.com/ ).

Techniques: