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Matrix functions of vector variable
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Part 1 book "Advanced modern engineering mathematics" includes content: Matrix analysis, numerical solution of ordinary differential equations, vector calculus, functions of a complex variable, laplace transforms.
505p
muasambanhan06
03-02-2024
5
1
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Part 1 of ebook "Mathematical physics: Applied mathematics for scientists and engineers" provides readers with contents including: Chapter 1 - A review of vector and matrix algebra using subscript/summation conventions; Chapter 2 - Differential and integral operations on vector and scalar fields; Chapter 3 - Curvilinear coordinate systems; Chapter 4 - Introduction to tensors; Chapter 5 - The dirac δ-function; Chapter 6 - Introduction to complex variables; Chapter 7 - Fourier series; Chapter 8 - Fourier transforms; Chapter 9 - Laplace transforms;...
353p
lytamnguyet
04-08-2023
9
4
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Nonconvex SINR constraints in amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay beamforming problems make the design mathematically intractable. A more practical optimization is to maximize the minimum SINR achievable data rate among all the users. The previously existing methods invoke the vectorization of pre-coding matrix X and then introduce the auxiliary variable matrix of lager dimension which results in an increased computational complexity.
5p
viericschmid
12-01-2022
14
2
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In this paper, using the definition on partial derivative of a matrix with respect to a vector and Kronecker product [7–9], the formulae of Taylor expansion according to a vector x for scalar functions, vector functions and matrix functions will be built and demonstrated. An applied example regarding the l
12p
nguaconbaynhay11
07-04-2021
13
2
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In this paper firstly the definitions of partial derivatives of scalar functions, vector functions and matrix functions with respect to a vector variable are represented systematically. After an overview of the matrix calculus related to Kronecker products is presented. Two theorems which specify the relationship between the time derivative of a matrix and its partial derivative with respect to a vector, and the partial derivative of product of two matrices with respect to a vector, are then proved.
11p
thienthanquydu
21-10-2018
29
1
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part 2 book “essential mathematics for economic analysis” has contents: topics in financial mathematics, functions of many variables, tools for comparative statics, multivariable optimization, determinants and inverse matrices, matrix and vector algebra, linear programming, constrained optimization.
433p
tieu_vu13
06-08-2018
37
2
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