A heuristic is a type of problem-solving strategy (a mental shortcut), while an algorithm is a more tedious process, but it is guaranteed to eventually produce the desired result.
<h3>What is
heuristic and algorithm?</h3>
Heuristics are mental shortcuts that enable someone to solve problems, pass judgment, or make decisions rapidly and with little mental effort. For instance, if a student had to choose what to major in at university, she would probably follow her instincts and choose the course of study she thinks will be the most rewarding, useful, and intriguing.
An algorithm is a predetermined series of detailed steps that offers the ideal solution to a certain problem. The process of doing laundry, the way we solve a long division problem, the ingredients for making a cake, and the operation of a search engine are all instances of algorithms.
Heuristics and algorithms are two alternative ways of approaching problem-solving. Algorithms are detailed, sequential processes. They may be time-consuming and demand a lot of mental effort, but they are exhaustive and ensure the right answer. Heuristics, on the other hand, are quick fixes or general rules of thumb.
To know more about Heuristics and algorithms refer to: brainly.com/question/14718604
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Answer:
Spain's motivation to help the American colonists was driven by a desire to regain the land it had lost to Britain and, with other European powers, make incremental gains against British possessions in other parts of the world. In April 1779, Spain committed to helping the Americans.
That they can make things more affordable or even have more accounts for things
Answer: The coach's action is an example of Marginal Thinking.
Explanation:
Marginal thinking involves the analysis of the cost/benefit of increasing a unit to something. In this case, the coach is considering whether to increase practice hours (cost) the team will get more points (benefits).
Although it seems like a simple thought process, Marginal Thinking implies <u>analyzing all the variables</u> that are compromised. For example, the coach must consider if more hours of training could generate more fatigue in the players, and that would lower their performance and get fewer points.
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