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Linear Algebra A Geometric Approach By S Kumaresan [HOT]: Learn How to Extend the Theory of Simultan



I am reading the text book "Linear Algebra a geometric approach "by S Kumaresan. It says that a non-empty subset $S $ of Vector space $V $ is an affine space iff it is of the form $v+W $ for some $v \in V $ and a vector subspace $W $ of $V$.Now my confusion is that the definition of Quotient space says exactly same thing! Does they are same thing if yes why they are distinguished by distinct names. We know affine space my not a subspace but still $dim v+W =dim W$. How does one can define dimension of nonvector space? Thanks for reading.




Linear Algebra A Geometric Approach By S Kumaresan [HOT]




Feedback theory, frequency compensation. Integrated circuit fabrication and technology. Device modeling, thermal effects. VLSI CAD design tools. Circuit layout, extraction and simulation. Design and analysis of multistage MOS operational amplifiers, OTA architectures. Nonlinear circuits, comparators. Analog switches. Digital phase-locked loops. Sample and hold circuits. Data converter architectures. Switched capacitor circuits. Bandgap reference circuits. MOST digital circuit design and layout, hierarchical approaches. Final design project is a mixed analog/digital circuit (e.g., Flash A/D converter, phase-locked loop), which is sent for fabrication.


This course covers a variety of methods for image representation, analysis, enhancement and compression. Color spaces, geometric projections and transformations. Multidimensional signals and systems: Fourier analysis, sampling, filtering. Transforms (e.g., DCT and wavelet). Gibbs-Markov random fields, Bayesian methods, information theoretic methods. Multiresolution schemes (e.g., pyramidal coding). Morphological and nonlinear methods. Edges, boundaries and segmentation. Applications of PDEs (e.g., anisotropic diffusion). Compressive sensing. Technical readings and projects in MATLAB (or other suitable language).


Vectors in two- and three-dimensions, vector algebra, inner product, crossproduct and applications. Analytic geometry in three dimensions: lines, planes, spheres. Matrix algebra; solution of system of linear equations, determinants, inverses.


Finite-dimensional vector spaces. Linear independence. Dimension. Basis. Subspaces. Inner product. Matrices. Rank. Determinant. Systems of linear equations. Matrix algebra. Coordinate transformation. Orthogonal matrices. Linear transformation. Eigen values and eigen vectors. Quadratic forms. Canonical form.


Techniques for the solutions of ordinary and partial differential equations, the classical problems of linear algebra, integration and systems of nonlinear equations. Error analysis, convergence and stability theory. Course assignments will include use of computing facilities.


Chattopadhyay, Sudip ; Mukhopadhyay, Debasis (2007)Applications of linear response theories to compute the low-lying potential energy surfaces: state-specific MRCEPA-based approach Journal of Physics B: Atomic, Molecular and Optical Physics, 40 (10). pp. 1787-1799. ISSN 0953-4075


Joseph, Kayyunnapara Thomas (2007)Asymptotic behaviour of soultions to nonlinear parabolic equations with variable viscocity and geometric terms Electronic Journal of Differential Equations, 2007 (157). pp. 1-23. ISSN 1072-6691 2ff7e9595c


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