function tsout = times(ts1, ts2)
%TIMES Overload multiplication 

%   Author(s): James G. Owen
%   Copyright 1986-2004 The MathWorks, Inc.
%   $Revision: 1.1.6.1 $ $Date: 2004/12/26 21:35:23 $

if strcmp(class(ts2),'tsdata.timeseries')
    % Check sizes match
    if ~isequal(getGridSize(ts1),getGridSize(ts2))
        error('Time series have differing lengths')
    end

    % Merge time vectors onto a common basis
    [ts1timevec, ts2timevec, outprops] = ...
        timemerge(ts1.timeInfo, ts2.timeInfo,ts1.time,ts2.time);

    % Relative time vectors - remove initial values
    if isempty(outprops.ref) 
        ts1timevec = ts1timevec-ts1timevec(1);
        ts2timevec = ts2timevec-ts2timevec(1);
    end

    % Check that the time vectors match
    intervalLen = ((ts1timevec(end)-ts1timevec(1))/length(ts1timevec));
    if norm(ts1timevec-ts2timevec)/intervalLen>1e-6
        error('Time vectors do not match')
    end

    % Merge the time alignment
    [data1,data2,s1,s2] = tsAlignSizes(ts1.Data, ...
        ts1.DataInfo.GridFirst,ts2.Data,ts2.DataInfo.GridFirst);
    if ~isequal(s1,s2)
        error('timeseries:times:sizemis','Size of the data arrays are mismatching')
    end

    % If either ord data is an ArrayAdaptor try to invoke the native 
    % overloaded times, if that fails cast as double and add the old fashioned
    % way
    try
       dataout = data1.*data2;  
    catch
       try 
           dataout = double(data1).*double(data2);  
       catch
           errstr = sprintf('%s\n%s','Times failed for this type of ordinate data object.', ...
                     'Try implementing a double cast method or overloaded addition for this object');
           error('timeseries:times:badcast',errstr)
       end
    end

    % Build output time series. If both time series are subclasses 
    % try to make the output the same classs
    if classhandle(ts1) == classhandle(ts2)
        c = classhandle(ts1);
        tsout = eval(sprintf('%s.%s',c.Package.Name,c.Name));
        tsout.dataInfo = times(ts1.dataInfo,ts2.dataInfo);
        set(tsout,'Data', dataout,'Time',ts1timevec)
    else
        tsout = tsdata.timeseries;
        tsout.dataInfo = times(ts1.dataInfo,ts2.dataInfo);
        init(tsout,dataout,ts1timevec);
    end
    set(tsout.timeInfo,'Startdate',outprops.ref,'Units', ...
        outprops.outunits,'Format',outprops.outformat);

    % Quality arithmatic - merge quality info and combine quality codes
    if ~isempty(ts1.qualityInfo) && ~isempty(ts2.qualityInfo)
        tsout.qualityInfo = merge(ts1.qualityInfo,ts2.qualityInfo);
    end
    if ~isempty(get(get(tsout,'qualityInfo'),'Code')) && ~isempty(ts1.quality) && ~isempty(ts2.quality)
        tsout.quality = min(ts1.quality,ts2.quality);
    end

    set(tsout,'Name',['Times_' ts1.Name '_' ts2.Name]);

    % Merge events
    addevent(tsout,horzcat(ts1.Events,ts2.Events));
elseif isnumeric(ts2)
    % the second input argument is a double and 
    if isscalar(ts2) || sum(size(ts1.data)==size(ts2))==length(size(ts1.data))
        tsout = ts1;
        tsout.data=ts1.data.*ts2;
    else
        error('timeseries:times:sizemis','Size of the data arrays are mismatching')    
    end
else
    error('timeseries:times:sizemis','Types of the data arrays are mismatching')
end