Discrete structures are foundational material for computer science. By foundational we mean that relatively few computer scientists will be working primarily on discrete structures, but that many other areas of computer science require the ability to work with concepts from discrete structures. Discrete structures include important material from such areas as set theory, logic, graph theory, and combinatorics.
Discrete is something that is not continuous, or in other words. Not doing it continuous.
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It is discrete bundles of energy.
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Electronic Discrete Variable Automatic Computer.
Discrete Function - A function that is defined only for a set of numbers that can be listed, such as the set of whole numbers or the set of integers. Explicit Definition - A definition of a function by a formula in terms of the variable.
data that can be counted, that does not show a change over time
Combinatorics play an important role in Discrete Mathematics, it is the branch of mathematics ,it concerns the studies related to countable discrete structures. For more info, you can refer the link below:
A discrete trait is a trait which doesn't have a range of phenotypes. For example, tongue rolling is a discrete trait as an individual can either roll their tongue or not roll their tongue. There is no phenotype between these two phenotypes.
No, discrete math does not incorporate concepts from calculus. Discrete math focuses on mathematical structures that are distinct and separate, such as integers, graphs, and sets, while calculus deals with continuous functions and limits.
Geometry,trigonometry,calculus,statistics,discrete structures,arithmetic
Linear algebra primarily deals with continuous mathematical structures, such as vectors and matrices, while discrete math focuses on finite, countable structures like graphs and sets. Linear algebra involves operations on continuous quantities, while discrete math deals with distinct, separate elements.