Топик: Сравнительные степени прилагательных и наречий (Comparison) Модальные глаголы (Modal Verbs) Цепочки существительных (Атрибутивная, номинативная группа) (Chains of nouns)

Students mustn’t eat or drink during the lection.

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Combinatorial mathematics.

Specialists in a broad range of fields have to deal with problems that involve combinations made up of letters, numbers or any other objects.

The field of mathematics that studies problems of how many different combinations can be built out of a specific number of objects is called combinatorial mathematics (combinatorics).

This branch of mathematics has its origin in the 16th century, in the gambling games that played such a large part in high society in those times. These games gave the initial impetus to develop combinatorial mathematics and the theory of probability.

Italian and French mathematicians were the first to enumerate the various combinations achieved in games of dice. Further advances in the theory of combinations were connected with the names of German scientists.

In recent years combinatorial mathematics has seen extensive developments associated with grater interest in problems of discrete mathematics. Combinatorial methods can be employed in solving transport problems, in particular scheduling; the scheduling of production facilities and of the sale of goods. Links have been established between combinatorics and problems of linear programming, statistics, etc. Combinatorial methods are used in coding and decoding and in the solution of other problems of information theory.

The combinatorial approach also plays a significant role in purely mathematical problems such as the theory of groups and their representations, in the study of the main principles of geometry, some branches of algebra, etc.


Probability.

Probability is a mathematical expression of the likelihood of an event. Every probability is a fraction. The largest probability can be 1. The smallest probability can be is 0, meaning that it’s something that cannot happen. You can find the probability that something will not happen by subtracting the probability that it will happen from 1. For example, if the weatherman tells you that there is a 0.3 probability of rain today, then there must be a 0.7 probability that it won’t rain.

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