To find higher order derivatives efficiently, one can use the power rule, product rule, quotient rule, and chain rule in calculus. These rules help simplify the process of finding derivatives of functions with multiple variables or functions nested within each other. Additionally, using computer software or calculators can also aid in quickly calculating higher order derivatives.
One can find the topological ordering of a graph efficiently by using a depth-first search algorithm. This algorithm explores the graph and assigns a numerical value to each vertex based on when it is visited. The vertices are then ordered in decreasing order of these numerical values to obtain the topological ordering.
The algorithm used to find all pairs shortest paths in a graph efficiently is called the Floyd-Warshall algorithm. It works by iteratively updating the shortest path distances between all pairs of vertices in the graph until the optimal solution is found.
One efficient way to find all cycles in an undirected graph is by using the Depth-First Search (DFS) algorithm. By performing a DFS traversal on the graph and keeping track of the visited nodes and back edges, you can identify and extract all the cycles present in the graph. This method helps in efficiently identifying and listing all the cycles within the graph.
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derivatives are the functions required to find the turning point of curve
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A great resource for information on derivatives markets is the International Swaps and Derivatives Association website. The search function in the upper right corner of the front page will take you to downloadable .pdf files on a wide range of subjects under the umbrella of derivatives.
Derivatives are used to find instantaneous rate at which a function changes.
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(1) Derivatives are useful tools for providing information about the behaviour of the graph.(2)Derivatives helps to measure the steepness of the graph.(3)Derivatives gives us information wether the graph is increasing or decreasing.(4) Derivatives Helps us to determine maximum,minimum value,and crital pointsof graph. hope it will help Kalim Raja
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One can find the topological ordering of a graph efficiently by using a depth-first search algorithm. This algorithm explores the graph and assigns a numerical value to each vertex based on when it is visited. The vertices are then ordered in decreasing order of these numerical values to obtain the topological ordering.
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