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It has also been promoted more recently as an oral supplement with claims that it may reduce blood lipid levels and reduce blood glucose levels in type 2 diabetes The leaves of this plant also exude a bitter yellow substance called aloe latex or aloe juice and this contains anthroquinone which is a harsh laxative; drying the juice yields dark brown granules that are approved by the Food and Drug Administration (FDA) in America as an over the counter laxative Kiple and Ornelas (2000) give no dietary use for this plant, unsurprisingly given the bitter taste and laxative effects of aloe latex Aloe vera gel as a dietary supplement should contain no juice and should not have laxative effects The aloe gel contains polysaccharides that would be classed as components of the soluble dietary bre as well as vitamins, minerals, saponins (triterpenoids with surfactant properties) and essential fatty acids.

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(assuming some form of backtracking so that nodes generated earlier in the search tree are revisited to be expanded later in the search tree) Sometimes the shortest route might be on the very left of the tree, and its structure is such that all remaining routes can be pruned immediately without any need to expand them further In this best possible case the solution has been found in O(d), that is, within the time it takes to generate a route of average length The O notation is not meant to take into account practical aspects of computation, such as processor speed, but is meant to give an abstract description in terms of units of time, however measured, of how long an algorithm will take to complete its task, in the worst possible case The O notation is also used to estimate space requirements for a search.

For instance, with A , in the worst case, all paths found in the search tree may need to be stored because the shortest route is not found until the very end of the search and no pruning of redundant paths is possible The space complexity of this worst-case scenario is also O(b d ) For instance, if it takes 1 byte to store a node and its path to a child, then for A , with b = 3 and d = 5, 243 bytes are needed For a search with b = 10 and d = 10, 10 billion bytes would be needed It is better, from a computational complexity viewpoint, to have algorithms that are of the order O(xk), where x can vary and k is a constant number, than to have an algorithm of the order O(kx ).

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Consider algorithms of the order O(12 ), O(22 ), O(32 ), O(42 ), O(52 ), etc, ie O(xk) The values are O(1), O(4),O(9), O(16), O(15), etc Compare this to algorithms of the order O(21 ), O(22 ), O(23 ), O(24 ), O(25 ), etc, ie O(kx ) The values here are O(2), O(4), O(8), O(16), O(32), etc In the latter case, there is an exponential increase in the complexity (the exponent of kx increases), whereas in the former there is a polynomial increase (the polynomial of xk increases) With regard to an O(bd ) search, it is better to have the branching factor b increase than the depth d of the tree increase.

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