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In nuclear fusion research, the term break-even refers to a fusion energy gain factor equal to unity; this is also known as the Lawson criterion. The notion can also be found in more general phenomena, such as percolation. In energy, the break-even point is the point where usable energy gotten from a process equals the input energy.
For example, expressing break-even sales as a percentage of actual sales can help managers understand when to expect to break even (by linking the percent to when in the week or month this percent of sales might occur). The break-even point is a special case of Target Income Sales, where Target Income is 0 (breaking even). This is very ...
This simplified problem may be viewed as a continuous version of the ski rental problem. Refactoring versus working with a poor design : In software development, engineers have to choose between the friction and risk of errors of working with an overly-complex design and reducing the complexity of the design before making a change.
The problem remains NP-complete even if a prime factorization of is provided. Serializability of database histories [3]: SR33 Set cover (also called "minimum cover" problem). This is equivalent, by transposing the incidence matrix, to the hitting set problem. [2] [3]: SP5, SP8 Set packing [2] [3]: SP3
In Cost-Volume-Profit Analysis, where it simplifies calculation of net income and, especially, break-even analysis.. Given the contribution margin, a manager can easily compute breakeven and target income sales, and make better decisions about whether to add or subtract a product line, about how to price a product or service, and about how to structure sales commissions or bonuses.
Transformation problem: The transformation problem is the problem specific to Marxist economics, and not to economics in general, of finding a general rule by which to transform the values of commodities based on socially necessary labour time into the competitive prices of the marketplace. The essential difficulty is how to reconcile profit in ...
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The question is whether or not, for all problems for which an algorithm can verify a given solution quickly (that is, in polynomial time), an algorithm can also find that solution quickly. Since the former describes the class of problems termed NP, while the latter describes P, the question is equivalent to asking whether all problems in NP are ...