Either fog occurs on a day, or it does not. Therefore it is a discrete value.
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Yes, is a discrete variable.
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.
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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:
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.
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Discrete mathematics is important for computer science because it provides the foundational concepts and tools needed to solve complex problems in algorithms, logic, and data structures. It helps computer scientists analyze and design efficient algorithms, understand the principles of computation, and work with discrete structures like graphs and networks. Overall, discrete mathematics is essential for developing the problem-solving skills required in computer science.
Discrete math is important for computer science because it provides the foundational concepts and tools needed to solve complex problems in algorithms, logic, and data structures. It helps computer scientists analyze and design efficient algorithms, understand the principles of computation, and work with discrete structures like graphs and networks. In essence, discrete math forms the backbone of computer science by enabling the development of efficient and reliable software systems.
Discrete math deals with distinct, separate values and structures, while linear algebra focuses on continuous, interconnected systems of equations and vectors. Discrete math involves topics like set theory, logic, and graph theory, while linear algebra focuses on matrices, vectors, and linear transformations.
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Either fog occurs on a day, or it does not. Therefore it is a discrete value.