Heat is definitely not matter. However, the question of whether light is matter has been found throughout history as a problem - independent experiments have proven that light can be both a particle (called a photon), and an electromagnetic wave. This is a basic principle of quantum physics, called particle-wave duality.
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He was seeking to formulate a math problem that was unique in the history of his class.
The first step in solving numeric problems typically involves understanding and clearly defining the problem. This includes identifying the key information given, determining what is being asked, and translating the problem into a mathematical format if necessary. Once this is established, you can strategize on the appropriate methods or formulas to apply for a solution.
Much of physics can be derived from the principle of least action. A more complete answer could fill up several books, so I will just stop here.http://en.wikipedia.org/wiki/Principle_of_least_actionThe most widely used principle: Using an axe.One of the most important strategy for conquering and solving problems: Divide and Conquer. Divide the problem into individual units and solve the units individually. Finally, piece them up to obtain a complete picture.One of your resources in doing this is basic differentiation-which divides the problem into parts and integration-summing or piecing up.
Because the old principle have any problem .
Yes, the problem of determining whether a given context-free grammar (CFG) is undecidable.
Deciding, solving, settling,etc. EX: The student was determining the outcome of a difficult math problem.
Determining how parts of a process or problem are related o each other is known as, decision making.
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The process of determining the answer to a problem and the answer itself
Yes, proving decidability is a necessary step in determining the computability of a problem. Decidability refers to the ability to determine whether a problem has a definite answer or not. If a problem is undecidable, it cannot be computed by a computer. Therefore, proving decidability is crucial in understanding the limits of computability for a given problem.
analysis
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Determining the minimum spanning tree of a graph is not an NP-complete problem. It can be solved in polynomial time using algorithms like Prim's or Kruskal's algorithm.
The problem that needs to be solved in this scenario is determining the acceleration due to gravity.
Yes, the problem of determining whether a given path exists in a graph can be demonstrated as NP-complete by reducing it to a known NP-complete problem, such as the Hamiltonian path problem. This reduction shows that the path existence problem is at least as hard as the known NP-complete problem, making it NP-complete as well.