Create an index vector based on start and stop values......, Octave

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function method1(A)
	lo = A(:,1);
	up=A(:,2);
	index=cumsum(accumarray(cumsum([1;up-lo+1]),[lo;0]-[0;up]-1)+1);
	index= index(1:end-1);
end

function method2(A)
    start_idx = A(:,1)';
    end_idx = A(:,2)';
    lens = end_idx - start_idx + 1;
    shift_idx = cumsum(lens(1:end-1))+1;
    id_arr = ones(1,sum(lens));
    id_arr([1 shift_idx]) = [start_idx(1) start_idx(2:end) - end_idx(1:end-1)];
    index = cumsum(id_arr);
end

function method3(A)
	N = A(:,2) - A(:,1) +1;
	s=cumsum([ 1; N]);
	%index=(1:s(end)-1) -repelem(s(1:end-1),N) + repelem(A(:,1),N);%Matlab
    index=(1:s(end)-1) -repelems(s(1:end-1),[1:numel(N);N']) + repelems(A(:,1),[1:numel(N);N']);%Octave
end

function method4(A)
	A = A.';
	idx = bsxfun(@plus, A, [0; 1]);
	A = A(:); 
	dA = diff(A); dA(1:2:end) = 0;
	idx = idx(~( [0;dA] == 1 | [dA;0] == 1 ));
	mask = zeros(max(A),1);
	mask(idx(:)) = (-1).^(0:numel(idx)-1);
	index = find(cumsum(mask));
end

function method5(A)
	index = cell2mat(arrayfun(@(n) A(n, 1):A(n, 2), 1:size(A, 1), 'uni', 0));
end

function method6(A)
	sz= size(A, 1);
	index_c = cell(1,sz);
	for n = 1:sz
		index_c{n} = [A(n, 1):A(n, 2)];
	end
	index = cell2mat(index_c);
end

function method7(A)
	idx = 1:size(A ,1);
	index_a =bsxfun(@(a,b) (a(b):A (b,2))',A (:,1),idx);
	index = index_a(index_a ~= 0); 
end

function method8(A)
	index = [];
	for n = 1:size(A, 1)
		index = [index A(n, 1):A(n, 2)];
	end
end

function ret = timeit(f)
	st = tic;
	f();
	ret = toc(st);
end

function test(method_numbers)
    rand('state', 0);
    i= 1:500:10000000;
    j= i+randi([1 490],1, numel(i));
    A = {[i', j']};
    methodnames = cellstr(num2str((method_numbers)','method%d'));
    cellfun(@(f,Arg) fprintf('%s: %f seconds\n',f,timeit(@() feval(f,Arg))), methodnames,A);
end
test(1:8)

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Absolute running time: 15.16 sec, cpu time: 15.1 sec, memory peak: 3540 Mb, absolute service time: 15,17 sec