linspacen

Below is a demonstration of the features of the linspacen function

Syntax
Description
Examples
Example 1: Use of linspacen for scalars
Example 2: Use of linspacen for vectors
Example 3: Use of linspacen for 2D matrices
Example 4: Use of linspacen for higher order matrices

Syntax

[C]=linspacen(A,B,n);

Description

This function is a generalization of the linspace function to N dimensions. The output C is a matrix of size [size(A) n] such that "it goes" from A to B in n steps in the last dimention. The input variables A and B (scalars, vectors or matrices). For scalar input this function is equivalent to linspace (but slower due to repmat operation). Clearly the inputs A and B should have the same size.

Examples

clear; close all; clc;

Plot settings

fontSize=15;
cMap=viridis(250);

Control parameters for examples

% Number of steps used in examples
n=6;

Example 1: Use of `linspacen` for scalars

For scalar input linspacen is equivalent to linspace

A=0
B=1
C=linspacen(A,B,n)

A =

     0


B =

     1


C =

  Columns 1 through 3

                   0   0.200000000000000   0.400000000000000

  Columns 4 through 6

   0.600000000000000   0.800000000000000   1.000000000000000

Example 2: Use of `linspacen` for vectors

For (column) vector input linspacen produces a matrix

A=zeros(1,10)
B=ones(size(A))
C=linspacen(A(:),B(:),n)

A =

     0     0     0     0     0     0     0     0     0     0


B =

     1     1     1     1     1     1     1     1     1     1


C =

  Columns 1 through 3

                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000
                   0   0.200000000000000   0.400000000000000

  Columns 4 through 6

   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000
   0.600000000000000   0.800000000000000   1.000000000000000

Plotting results

cFigure;
title('A surface gradient from vector A to vector B','FontSize',fontSize);
xlabel('X','FontSize',fontSize);ylabel('Y','FontSize',fontSize); zlabel('Z','FontSize',fontSize);
hold on;
surf(C);
colormap(cMap); caxis([min(C(:)) max(C(:))]);  colorbar;
axis equal; view(3); axis tight;  grid on;  set(gca,'FontSize',fontSize);
drawnow;

Example 3: Use of `linspacen` for 2D matrices

For qxr input matrices linspacen produces a qxrxn output matrix whereby the entries go from input A to B allong the last dimension in n steps

A=zeros(5,5)
B=ones(size(A));
C=linspacen(A,B,n)

A =

     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0


C(:,:,1) =

     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0


C(:,:,2) =

  Columns 1 through 3

   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000

  Columns 4 through 5

   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000


C(:,:,3) =

  Columns 1 through 3

   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000

  Columns 4 through 5

   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000


C(:,:,4) =

  Columns 1 through 3

   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000

  Columns 4 through 5

   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000


C(:,:,5) =

  Columns 1 through 3

   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000

  Columns 4 through 5

   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000


C(:,:,6) =

     1     1     1     1     1
     1     1     1     1     1
     1     1     1     1     1
     1     1     1     1     1
     1     1     1     1     1

Plotting results

cFigure;
title('A 3D gradient from A to B','FontSize',fontSize);
xlabel('X','FontSize',fontSize);ylabel('Y','FontSize',fontSize); zlabel('Z','FontSize',fontSize);
hold on;

[Fm,Vm,Cm]=ind2patch(1:numel(C),C,'vu');

gpatch(Fm,Vm,Cm);

axis equal; view(3); axis tight; axis vis3d; grid off;
colormap(cMap); caxis([min(C(:)) max(C(:))]);  colorbar;
set(gca,'FontSize',fontSize);
drawnow;

Example 4: Use of `linspacen` for higher order matrices

For qxrx... input matrices linspacen produces a qxrxn output matrix whereby the entries go from input A to B allong the last dimension in n steps.

A=zeros(3,4,2)
B=ones(size(A));
C=linspacen(A,B,n)

A(:,:,1) =

     0     0     0     0
     0     0     0     0
     0     0     0     0


A(:,:,2) =

     0     0     0     0
     0     0     0     0
     0     0     0     0


C(:,:,1,1) =

     0     0     0     0
     0     0     0     0
     0     0     0     0


C(:,:,2,1) =

     0     0     0     0
     0     0     0     0
     0     0     0     0


C(:,:,1,2) =

  Columns 1 through 3

   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000

  Column 4

   0.200000000000000
   0.200000000000000
   0.200000000000000


C(:,:,2,2) =

  Columns 1 through 3

   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000
   0.200000000000000   0.200000000000000   0.200000000000000

  Column 4

   0.200000000000000
   0.200000000000000
   0.200000000000000


C(:,:,1,3) =

  Columns 1 through 3

   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000

  Column 4

   0.400000000000000
   0.400000000000000
   0.400000000000000


C(:,:,2,3) =

  Columns 1 through 3

   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000
   0.400000000000000   0.400000000000000   0.400000000000000

  Column 4

   0.400000000000000
   0.400000000000000
   0.400000000000000


C(:,:,1,4) =

  Columns 1 through 3

   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000

  Column 4

   0.600000000000000
   0.600000000000000
   0.600000000000000


C(:,:,2,4) =

  Columns 1 through 3

   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000
   0.600000000000000   0.600000000000000   0.600000000000000

  Column 4

   0.600000000000000
   0.600000000000000
   0.600000000000000


C(:,:,1,5) =

  Columns 1 through 3

   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000

  Column 4

   0.800000000000000
   0.800000000000000
   0.800000000000000


C(:,:,2,5) =

  Columns 1 through 3

   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000
   0.800000000000000   0.800000000000000   0.800000000000000

  Column 4

   0.800000000000000
   0.800000000000000
   0.800000000000000


C(:,:,1,6) =

     1     1     1     1
     1     1     1     1
     1     1     1     1


C(:,:,2,6) =

     1     1     1     1
     1     1     1     1
     1     1     1     1

Plotting results

cFigure;
subplot(1,3,1);
title('4D output: First set','FontSize',fontSize);
xlabel('X','FontSize',fontSize);ylabel('Y','FontSize',fontSize); zlabel('Z','FontSize',fontSize);
hold on;

c=C(:,:,:,1);
[Fm,Vm,Cm]=ind2patch(1:numel(c),c,'vu');

gpatch(Fm,Vm,Cm);

axis equal; view(3); axis tight; axis vis3d; grid off;
colormap(cMap); caxis([min(C(:)) max(C(:))]); colorbar;
set(gca,'FontSize',fontSize);

subplot(1,3,2);
title('4D output: Intermediate set','FontSize',fontSize);
xlabel('X','FontSize',fontSize);ylabel('Y','FontSize',fontSize); zlabel('Z','FontSize',fontSize);
hold on;

c=C(:,:,:,round(size(C,4)/2));
[Fm,Vm,Cm]=ind2patch(1:numel(c),c,'vu');

gpatch(Fm,Vm,Cm);

axis equal; view(3); axis tight; axis vis3d; grid off;
colormap(cMap); caxis([min(C(:)) max(C(:))]); colorbar;
set(gca,'FontSize',fontSize);

subplot(1,3,3);
title('4D output: Last set','FontSize',fontSize);
xlabel('X','FontSize',fontSize);ylabel('Y','FontSize',fontSize); zlabel('Z','FontSize',fontSize);
hold on;

c=C(:,:,:,end);
[Fm,Vm,Cm]=ind2patch(1:numel(c),c,'vu');

gpatch(Fm,Vm,Cm);

axis equal; view(3); axis tight; axis vis3d; grid off;
colormap(cMap); caxis([min(C(:)) max(C(:))]); colorbar;
set(gca,'FontSize',fontSize);

drawnow;

GIBBON www.gibboncode.org

Kevin Mattheus Moerman, [email protected]

GIBBON footer text

License: https://github.com/gibbonCode/GIBBON/blob/master/LICENSE

GIBBON: The Geometry and Image-based Bioengineering add-On. A toolbox for image segmentation, image-based modeling, meshing, and finite element analysis.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

linspacen

Contents

Syntax

Description

Examples

Example 1: Use of linspacen for scalars

Example 2: Use of linspacen for vectors

Example 3: Use of linspacen for 2D matrices

Example 4: Use of linspacen for higher order matrices

Example 1: Use of `linspacen` for scalars

Example 2: Use of `linspacen` for vectors

Example 3: Use of `linspacen` for 2D matrices

Example 4: Use of `linspacen` for higher order matrices