Maximisation (other)
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Maximisation (other)
Maximization or maximisation may refer to: * Maximization in the sense of exaggeration * Entropy maximization * Maximization (economics) ** Profit maximization ** Utility maximization problem ** Budget-maximizing model ** Shareholder value, maximization * Maximization (psychology) * Optimization (mathematics) * Expectation–maximization algorithm In statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent varia ... See also * Minimization (other) {{disambiguation ...
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Exaggeration
Exaggeration is the representation of something as more extreme or dramatic than it is, intentionally or unintentionally. It can be a rhetorical device or figure of speech, used to evoke strong feelings or to create a strong impression. Amplifying achievements, obstacles and problems to seek attention is an everyday occurrence Inflating the difficulty of achieving a goal after attaining it, can be used to bolster self-esteem. In the arts, exaggerations are used to create emphasis or effect. As a literary device, exaggerations are often used in poetry, and is frequently encountered in casual speech. Many times the usages of hyperbole describes something as better or worse than it really is. An example of hyperbole is: "The bag weighed a ton." Hyperbole makes the point that the bag was very heavy, though it probably does not weigh a ton. Exaggerating is also a type of deception,Guerrero, L., Anderson, P., Afifi, W. (2007). Close Encounters: Communication in Relationships ( ...
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Entropy Maximization
The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy, in the context of precisely stated prior data (such as a proposition that expresses testable information). Another way of stating this: Take precisely stated prior data or testable information about a probability distribution function. Consider the set of all trial probability distributions that would encode the prior data. According to this principle, the distribution with maximal information entropy is the best choice. History The principle was first expounded by E. T. Jaynes in two papers in 1957, where he emphasized a natural correspondence between statistical mechanics and information theory. In particular, Jaynes argued that the Gibbsian method of statistical mechanics is sound by also arguing that the entropy of statistical mechanics and the information entropy of information theory are the same ...
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Maximization (economics)
Capitalism is an economic system based on the private ownership of the means of production and their use for the purpose of obtaining profit. This socioeconomic system has developed historically through several stages and is defined by a number of basic constituent elements: private property, profit motive, capital accumulation, competitive markets, commodification, wage labor, and an emphasis on innovation and economic growth. Capitalist economies tend to experience a business cycle of economic growth followed by recessions. Economists, historians, political economists, and sociologists have adopted different perspectives in their analyses of capitalism and have recognized various forms of it in practice. These include ''laissez-faire'' or free-market capitalism, state capitalism, and welfare capitalism. Different forms of capitalism feature varying degrees of free markets, public ownership, obstacles to free competition, and state-sanctioned social policies. The degree o ...
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