Results 301 to 310 of about 650,861 (329)
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Pseudo-differential operators

Annali di Matematica Pura ed Applicata, 1972
We present here a number of results on some aspects of Kohn-Nirenberg's theory of pseudo-differential operators. We hope that some parts of Kohn-Nirenberg's paper[1] are presented here in a more detailed and explicit form; this could help a larger audience to understand their ideas and methods.
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Homogenization of Differential Operators

Acta Mathematicae Applicatae Sinica, English Series, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Differential Operators and Differential Modules

2003
In this chapter k is a differential field such that its subfield of constants C is different from k and has characteristic 0. The skew (i.e., noncommutative) ring D :=k[∂] consists of all expressions L :=a n ∂ n + ⋯ + a1∂ + a0 dot with n ∈ Z, n ≥ 0 and all a i ∈ k. These elements L are called differential operators.
Marius van der Put, Michael F. Singer
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Differential Operators

2015
In this chapter we study a number of well-known differential operators, which are familiar from the studies of basic calculus, using the framework and terminology of the tensor analysis. We study the Hamiltonian ∇-operator, gradient of scalars, divergence of vectors and tensors, curl of vectors, and Laplacian of scalars and tensors.
M. Dalarsson, N. Dalarsson
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Vector Differential Operators

2021
This chapter covers the mathematical objects: scalar and vector fields, and the three vector differential operators: grad, div and curl. It begins with an overview of scalar and vector fields, followed by the gradient of a scalar field, the divergence and curl of a vector field.
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Approximation of a differentiation operator [PDF]

open access: possibleMathematical Notes of the Academy of Sciences of the USSR, 1981
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Differential Operators and Regression

2002
We give statistical evidence from 28 performances of Schumann’s “Traumerei”, as measured by Bruno Repp [886] that the rhythmic, motivic, and harmonic analyses provided by RUBATO® are shaping structures for the agogical streams. The statistical model is based on regression analysis and realizes shaping of agogics by a second degree linear differential ...
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Differential Privacy Techniques for Cyber Physical Systems: A Survey

IEEE Communications Surveys and Tutorials, 2020
Jinjun Chen   +2 more
exaly  

Mathematical analysis of memristor through fractal‐fractional differential operators: A numerical study

Mathematical Methods in the Applied Sciences, 2020
Abdon Atangana   +2 more
exaly  

Hypercalcemia and cancer: Differential diagnosis and treatment

Ca-A Cancer Journal for Clinicians, 2018
Sarah B Fisher, Nancy D Perrier
exaly  

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