Results 231 to 240 of about 6,185,996 (263)

Linear Spaces and Linear Operators

1986
The present chapter is concerned with the basic setting for a great deal of modern mathematical analysis and applied mathematics: the linear or vector space. In a linear space, addition, subtraction, magnification and contraction of elements are all possible, and sometimes even multiplication between elements is possible.
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LINEAR OPERATORS

, 2016
The operators which arise naturally in models of the physical, biological or economic world are almost always unbounded operators, that is, they do not act continuously from one Banach space X to itself.
Hans Wilhelm Alt
semanticscholar   +1 more source

Iteration Method for the Solution of the Eigenvalue Problem of Linear Differential and Integral Operators

, 2018
The present investigation designs a systematic method for finding the latent roots and the principal axes of a matrix, without reducing the order of the matrix.
D. R. Lide
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Bicomplex Linear Operators on Bicomplex Hilbert Spaces and Littlewood’s Subordination Theorem

, 2014
In this paper we study some basic properties of bicomplex linear operators on bicomplex Hilbert spaces. Further, we introduce the notion of bicomplex quotient modules and annihilators of submodules of a bicomplex module.
Romesh Kumar, Kulbir Singh
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The Structure of a Linear Operator

1992
In this chapter, we study the structure of a linear operator on a finite dimensional vector space, using the powerful module decomposition theorems of the previous chapter. Unless otherwise noted, all vector spaces will be assumed to be finite dimensional.
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The linear products and operations

2007
Publisher Summary This chapter presents two ways to implement the linear products and operations of geometric algebra. Both implementation approaches are based on the linearity and distributivity of the products and operations. The first approach uses linear algebra to encode the multiplying element as a square matrix acting on the multiplied element,
Leo Dorst, Daniel Fontijne, Stephen Mann
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A Comparison of Several Linear Genetic Programming Techniques

Complex Systems
A comparison between four Genetic Programming techniques is presented in this paper. The compared methods are Multi-Expression Programming, Gene Expression Programming, Grammatical Evolution, and Linear Genetic Programming.
Mihai Oltean, C. Grosan
semanticscholar   +1 more source

The Linearized Collision Operator

1969
In Chapter II we found a solution of the Boltzmann equation, i.e., the Maxwellian. It is an exact solution of the Boltzmann equation and practically the only known exact solution [another solution is due to Ikenberry and Truesdell (see ref. 1) but is interesting only for illustrative purposes].
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Linear Operators

Toeplitz Matrices and Operators, 2020
Christian Clason
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Semigroups of Linear Operators and Applications to Partial Differential Equations

Applied Mathematical Sciences, 1992
A. Pazy
semanticscholar   +1 more source