view convergenceTable.m @ 1037:2d7ba44340d0 feature/burgers1d

Pass scheme specific parameters as cell array. This will enabale constructDiffOps to be more general. In addition, allow for schemes returning function handles as diffOps, which is currently how non-linear schemes such as Burgers1d are implemented.
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Fri, 18 Jan 2019 09:02:02 +0100
parents 2663be328d9a
children
line wrap: on
line source

function convergenceTable(caption, orders, m, e, q, tableType)
    default_arg('tableType','plaintext')

    switch tableType
        case {'plaintext','text','plain'}
            plainTextTable(caption, orders, m, e, q);
        case {'tex', 'latex'}
            latexTable(caption, orders, m, e, q);
    end
end

function plainTextTable(caption, orders, m, e, q)


    eW = 0;
    qW = 0;
    for i = 1:length(orders)
        log_e{i} = log10(e{i});
        eW = max(eW, findFieldWidth('%.2f',log_e{i}));
        qW = max(qW, findFieldWidth('%.2f',q{i}));
    end

    mW = findFieldWidth('%d',m);
    orderHeaderWidth = eW + qW + 1;

    fprintf('%s\n',caption);

    % Print order headers
    fprintf(' %*s |',mW,'')
    for i = 1:length(orders)
        fprintf(' %-*s |', orderHeaderWidth, sprintf('Order %d', orders{i}));
    end
    fprintf('\n');


    % Print eq headers
    fprintf(' %*s |',mW,'m');
    for i = 1:length(orders)
        fprintf(' %*s %*s |', eW, 'e', qW, 'q');
    end
    fprintf('\n');


    % Print devider
    m_dev = repmat('-',1,mW);
    column_dev = repmat('-',1,orderHeaderWidth);
    fprintf('-%s-+',m_dev);
    for i = 1:length(orders)
        fprintf('-%s-+', column_dev);
    end
    fprintf('\n');



    % Print each row
    for i = 1:length(m)
        fprintf(' %*d |',mW,m(i));
        for j = 1:length(orders)
            if i == 1
                fprintf(' %*.2f %*s |', eW, log_e{j}(i), qW, '');
            else
                fprintf(' %*.2f %*.2f |', eW, log_e{j}(i), qW, q{j}(i-1));
            end
        end
        fprintf('\n');
    end

    fprintf('\n');

end

function latexTable(caption, orders, m, e, q)

    nOrders = length(orders);

    header = {
        '\begin{table}[H]'
        '\centering'
        ['\begin{tabular}{c' repmat('|cc',1,nOrders) '} &']
        orderheaders(orders)
        '\hline'
        ['$N$'   repmat('& $log_{10}(l_2)$ & $q$',1,nOrders) ' \\']
        '\hline'
    };

    footer = {
        '\end{tabular}'
        ['\caption{' caption '}']
        '\label{table:LABEL}'
        '\end{table}'
    };

    data = cell(1,length(m));
    data{1} = num2str(m(1));
    for j = 1:nOrders
        data{1} = [data{1} ' & ' sprintf('%8.2f',log10(e{j}(1))) ' &         ' ];
    end
    data{1} = [data{1} '\\'];

    for i = 2:length(m)
        data{i} = [data{i} num2str(m(i))  ];
        for j = 1:nOrders
            data{i} = [data{i} ' & ' sprintf('%8.2f',log10(e{j}(i)))  ' & '  sprintf('%8.2f',(q{j}(i-1))) ];
        end
        data{i} = [data{i} '\\'];
    end

    nlc = sprintf('\n');

    header = strjoin(header', nlc);
    data = strjoin(data, nlc);
    footer = strjoin(footer', nlc);

    table = strjoin({header, data, footer}, nlc);
    fprintf('%s\n', table);
end



function s = orderheaders(orders)
    s= sprintf('\\multicolumn{2}{|c}{%dth order}',orders{1});
    nOrders = length(orders);
    for i = 2:nOrders
        s = [s sprintf('& \\multicolumn{2}{|c}{%dth order}',orders{i})];
    end
    s = [s ' \\'];
end