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You can graph a linear equation slope intercept by solving the equation and plugging in the numbers : y=mx+b
Making an equation "y = ~$%#" by solving for y puts it into the simplest form to graph.
this thing is useful to our world
the firt and second graph should be circled 2. the bar graph 3. the line graph
To work out y=-5x-10 you can plot a graph.
The complexity of solving the k-color problem on a given graph is NP-complete.
The reduction from 3-SAT to 3-coloring shows that solving the satisfiability problem can be transformed into solving the graph coloring problem. This demonstrates a connection between the two problems, where the structure of logical constraints in 3-SAT instances can be represented as a graph coloring problem, highlighting the interplay between logical and combinatorial aspects in computational complexity theory.
The graph isomorphism problem is significant in computer science and mathematics because it involves determining if two graphs are structurally identical. Solving this problem efficiently has implications for cryptography, network analysis, and algorithm design.
List a reasonable table of x and y coordinate values and then carefully plot them on the graph paper then join them together with a fine pencil. You can then read the results from the graph depending on the problem to be solved.
The 3-SAT problem can be reduced to the Hamiltonian cycle problem in polynomial time by representing each clause in the 3-SAT problem as a vertex in the Hamiltonian cycle graph, and connecting the vertices based on the relationships between the clauses. This reduction allows for solving the 3-SAT problem by finding a Hamiltonian cycle in the constructed graph.
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The reduction from independent set to vertex cover in graph theory helps show that finding a vertex cover in a graph is closely related to finding an independent set in the same graph. This means that solving one problem can help us understand and potentially solve the other problem more efficiently.
The clique problem is a computational problem in graph theory where the goal is to find a subset of vertices in a graph where every pair of vertices is connected by an edge. This subset is called a clique. In graph theory, cliques are important because they help us understand the structure and connectivity of a graph. The clique problem is a fundamental problem in graph theory and has applications in various fields such as computer science, social networks, and biology.
Solving linear systems means to solve linear equations and inequalities. Then to graph it and describing it by statical statements.
You can graph a linear equation slope intercept by solving the equation and plugging in the numbers : y=mx+b
The dominating set problem in graph theory involves finding the smallest set of vertices in a graph such that every other vertex is either in the set or adjacent to a vertex in the set. This problem is important in graph theory as it helps in understanding the concept of domination and connectivity within a graph.
The slope of the graph does not exist. And in the context of "this" problem it means absolutely nothing.