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Polynomials like 5x4 + 2x3 + 7x2 + 10x - 8 can be represented by using arrays. Arithmetic operations such as addition & multiplication of polynomials are common and most often; we have to write down a program to implement these operations.
The easiest way to represent polynomial of degree 'n' is to store up the coefficient of (n+1) terms of the polynomial in an array. To gain this, each of the elements of the array must contain two values, namely, exponent and coefficient. Whereas maintaining the polynomial, it is supposed that the exponent of each of the successive term is less than that of the earlier term. Once we create an array to represent a polynomial, we can employ such an array to perform common polynomial operations such as addition & multiplication.
Program 2 accepts 2 polynomials as input & adds them.
The space-complexity of the algorithm is a constant. It just needs space of three integers m, n and t. Thus, the space complexity is O(1). The time complexity based on the loop
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for(int i = 0; i for (int j = n - 1; j >= i ; j--){ System.out.println(i+ " " + j);
Spanning Trees: A spanning tree of a graph, G, refer to a set of |V|-1 edges which connect all vertices of the graph. There are different representations of a graph. They are f
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