/* <Br/> data tower problems: <br/> 9 <br/> 12 15 <br/> 10 6 8 <br/> 2 18 9 5 <br/> 19 7 10 4 16 <br/> tangible maxcompute, starting from the top, you can choose to go left or right at each node. <br/> keep walking to the bottom layer and find a path to maximize the value of the path. <Br/> If the enumeration method is used for this question, the number of paths to be listed will be a very large number when the number of floors in a few towers is relatively large (for example, 40. <Br/> If greedy is used, the optimal solution is often not obtained. <Br/> you can perform top-down analysis and bottom-up calculation when using dynamic planning to consider the data tower problem. <Br/> whether to go left or right from the vertex depends on whether the maximum value can be obtained from the left or the maximum value can be obtained from the right, <br/> A decision can be made only when the maximum value on the left and right paths is obtained. <Br/> In the same sense, the direction of the next layer depends on whether the maximum value on the next layer has been obtained before decision-making. <Br/> This layer is pushed down until the last layer is very clear. <Br/> for example, if the number is 2, you only need to select the 19 lower node under it. <Br/> when solving the problem, you can start from the bottom layer, step by step, and finally obtain the maximum value. <Br/> conclusion: This is the most basic dynamic planning question. The Division of stages and States is clear at a glance. <Br/> the Decision-Making record fully reflects the essence of dynamic planning, that is, "memory-based search. <Br/> */<br/> # include <iostream> <br/> # define max 20 <br/> using namespace STD; <br/> int main () <br/>{ <br/> cout <"Please input N (lines)" <Endl; <br/> int N; <br/> CIN> N; <br/> int A [Max + 1] [Max + 1] [3]; // [0] is used to store the number. [1] is involved in the operation, [2] indicates left (0) or right (1) <br/> // input data tower <br/> for (INT I = 1; I <= N; ++ I) <br/>{< br/> cout <"Please input line" <I <Endl; <br/> for (Int J = 1; j <= I; ++ J) // Number of I records in row I <br/>{< br/> CIN> A [I] [J] [0]; <br/> A [I] [J] [1] = A [I] [J] [0]; <br/> A [I] [J] [2] = 0; <br/>}< br/> cout <Endl; <br/> // calculate <br/> for (INT I = n-1; I> = 1; -- I) // start from the last row <br/> {<br/> for (Int J = 1; j <= I; j ++) <br/> {<br/> if (a [I + 1] [J] [1]> A [I + 1] [J + 1] [1]) // large on the left <br/>{< br/> A [I] [J] [2] = 0; // select the left <br/> A [I] [J] [1] + = A [I + 1] [J] [1]; <br/>}< br/> else // large on the right <br/>{< br/> A [I] [J] [2] = 1; // select <br/> A [I] [J] [1] + = A [I + 1] [J + 1] [1] on the right. <br/>}</P> <p> // output data tower <br/> for (INT I = 1; I <= N; ++ I) <br/>{< br/> for (Int J = 1; j <= I; ++ J) <br/> {<br/> cout <A [I] [J] [0] <""; <br/>}< br/> cout <Endl; <br/>}< br/> // maximum output value <br/> cout <A [1] [1] [1] <Endl; <br/> // output path <br/> for (INT I = 1, j = 1; I <= N; ++ I) <br/>{ <br/> cout <"[" <I <"," <j <"]" <"-> "; <br/> J + = A [I] [J] [2]; <br/>}< br/> cout <Endl; <br/> return 0; <br/>}