Additional study in statistics and related mathematical areas, such as analysis and measure theory, is helpful.
These operators are also found in many applications of mathematical areas such as orthogonal polynomials, basic hypergeometric functions, combinatorics, the calculus of variations and the theory of relativity.
The quantum difference operators have been employed in many applications [1 9] of mathematical areas such as the theory of relativity, particle physics, and quantum mechanics.
Quantum difference operators play an important role in several mathematical areas such as orthogonal polynomials, basic hyper-geometric functions, combinatorics, the calculus of variations, mechanics, and the theory of relativity.
The quantum difference operator has a lot of applications in different mathematical areas, such as number theory, combinatorics, special functions, basic hyper-geometric functions, the calculus of variations, control theory, mechanics, and the theory of relativity.
Quantum difference operators have an interesting role due to their applications in several mathematical areas, such as orthogonal polynomials, basic hyper-geometric functions, combinatorics, the calculus of variations, mechanics, and the theory of relativity.
The system can be applied to a wide variety of monitoring problems and domains, ranging from simple monitor functions (e.g., SUM, AVG, MIN, and MAX) to complex mathematical functions, and spanning areas such as sensor networks, enterprise networks, and even power distribution networks.
D-modules continues to be an active area of stimulating research in such mathematical areas as algebra, analysis, differential equations, and representation theory.
In mathematical models in diverse areas such as economy, biology, computer science, difference equations appear in a natural way; see, for example, [1, 2].
Progress in Probability is designed for the publication of workshops, seminars and conference proceedings on all aspects of probability theory and stochastic processes, as well as their connections with and applications to other areas such as mathematical statistics and statistical physics.
This model was represented by a first-order differential equation, which has been used in areas such as mathematical modeling of chemical reaction analysis [48].
