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Ward Cheney and David Kincaid have developed Linear Algebra: Theory and Applications, Second Edition, a multi-faceted introductory textbook, which was motivated by their desire for a single text that meets the various requirements for differing courses within linear algebra. For theoretically-oriented students, the text guides them as they devise proofs and deal with abstractions by focusing on a comprehensive blend between theory and applications. For application-oriented science and engineering students, it contains numerous exercises that help them focus on understanding and learning not only vector spaces, matrices, and linear transformations, but also how software tools are used in applied linear algebra. Using a flexible design, it is an ideal textbook for instructors who wish to make their own choice regarding what material to emphasize, and to accentuate those choices with homework assignments from a large variety of exercises, both in the text and online.
Algebras, Linear. --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology
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"Any student studying linear algebra will welcome this textbook, which provides a thorough, yet concise, treatment of key topics in university linear algebra courses. Blending practice and theory, the book enables students to practice and master the standard methods as well as understand how they actually work. At every stage the authors take care to ensure that the discussion is no more complicated or abstract than it needs to be, and focuses only on the fundamental topics. Hundreds of examples and exercises, including solutions, give students plenty of hands-on practice End-of-chapter sections summarise material to help students consolidate their learning Ideal as a course text and for self-study Instructors can use the many examples and exercises to supplement their own assignments Both authors have extensive experience of undergraduate teaching and of preparation of distance learning materials"--
Algebra --- Algebras, Linear --- lineaire algebra --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Algebras, Linear - Textbooks
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In the past several decades the classical Perron-Frobenius theory for nonnegative matrices has been extended to obtain remarkably precise and beautiful results for classes of nonlinear maps. This nonlinear Perron-Frobenius theory has found significant uses in computer science, mathematical biology, game theory and the study of dynamical systems. This is the first comprehensive and unified introduction to nonlinear Perron-Frobenius theory suitable for graduate students and researchers entering the field for the first time. It acquaints the reader with recent developments and provides a guide to challenging open problems. To enhance accessibility, the focus is on finite dimensional nonlinear Perron-Frobenius theory, but pointers are provided to infinite dimensional results. Prerequisites are little more than basic real analysis and topology.
Mathematics --- Non-negative matrices. --- Eigenvalues. --- Eigenvectors. --- Algebras, Linear. --- Matrices --- Valeurs propres. --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Vector spaces --- Eigenfactor --- Nonnegative matrices --- Dynamique différentiable
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Linear algebra is relatively easy for students during the early stages of the course, when the material is presented in a familiar, concrete setting. But when abstract concepts are introduced, students often hit a brick wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations), are not easily understood, and require time to assimilate. Since they are fundamental to the study of linear algebra, students' understanding of these concepts is vital to their mastery of the subject. David Lay introduces these concepts early in a familiar, concrete Rn setting, develops them gradually, and returns to them again and again throughout the text so that when discussed in the abstract, these concepts are more accessible.
Algebras, Linear --- 512.64 --- Linear and multilinear algebra. Matrix theory --- 512.64 Linear and multilinear algebra. Matrix theory --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Algebra --- lineaire algebra --- algebra --- Algebras, Linear - Textbooks
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Algebras, Linear --- Topological algebras --- Algebras, Linear. --- Topological algebras. --- functional analysis --- operator theory --- convex analysis --- matrix analysis --- control and optimization --- combinatorial linear algebra --- Algebras, Topological --- Functional analysis --- Linear topological spaces --- Rings (Algebra) --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Mathematics
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This book offers a refreshingly concise, manageable introduction to linear algebra: Whereas most treatments of the subject give an exhaustive survey supplemented with applications, this book presents a carefully selected array of the most essential topics that can be thoroughly covered in a single semester. The exposition generally falls in line with the material recommended by the Linear Algebra Curriculum Study Group, but notably deviates in providing an early emphasis on the geometric foundations of linear algebra. Starting with vectors, lines, and planes in two and three dimensions gives students a more intuitive understanding of the subject and enables an easier grasp of more abstract concepts. Two important pedagogical devices are also directed to this end: First, throughout the book, the notation is carefully selected to indicate the connections between related quantities; second, in addition to numbering, brief mnemonic titles are appended to theorems and examples, making it easier for the student to internalize and recall important concepts (e.g., it is much more satisfying to recall the Dimension Theorem than to recall Theorem 3.5.1). The focus throughout is primarily on fundamentals, guiding readers to appreciate the elegance and interconnectedness of linear algebra. At the same time, the text presents a number of interesting, targeted applications, offering a glimpse of how the subject is used in other fields, especially in physics. A section on computer graphics and a chapter on numerical methods also provide looks at the potential uses of linear algebra, and most sections contain exercises using MATLAB® to put theory into practice in a variety of contexts. Visuals and problems are included to enhance and reinforce understanding throughout the book, and both students’ and instructors’ solutions manuals (for non-MATLAB exercises) are available online. A Concise Introduction to Linear Algebra builds on the author's previous title on the subject (Introduction to Linear Algebra, Jones & Bartlett, 1996). With brevity, precision, and rigor, the work is an ideal choice for a standard one-semester course targeted primarily at math or physics majors. It is a valuable addition to the book collection of anyone who teaches or studies the subject.
Algebras, Linear. --- Algebras, Linear --- Mathematics --- Physical Sciences & Mathematics --- Algebra --- Algebra. --- Linear algebra --- Mathematics. --- Matrix theory. --- Mathematical physics. --- Physics. --- Linear and Multilinear Algebras, Matrix Theory. --- General Algebraic Systems. --- Mathematical Physics. --- Mathematical Methods in Physics. --- Theoretical, Mathematical and Computational Physics. --- Mathematical analysis --- Algebra, Universal --- Generalized spaces --- Calculus of operations --- Line geometry --- Topology --- Physical mathematics --- Physics --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics
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This book is a unique addition to the existing literature in the field of Finsler geometry. This is the first monograph to deal exclusively with homogeneous Finsler geometry and to make serious use of Lie theory in the study of this rapidly developing field. The increasing activity in Finsler geometry can be attested in large part to the driving influence of S.S. Chern, its proven use in many fields of scientific study such as relativity, optics, geosciences, mathematical biology, and psychology, and its promising reach to real-world applications. This work has potential for broad readership; it is a valuable resource not only for specialists of Finsler geometry, but also for differential geometers who are familiar with Lie theory, transformation groups, and homogeneous spaces. The exposition is rigorous, yet gently engages the reader—student and researcher alike—in developing a ground level understanding of the subject. A one-term graduate course in differential geometry and elementary topology are prerequisites. In order to enhance understanding, the author gives a detailed introduction and motivation for the topics of each chapter, as well as historical aspects of the subject, numerous well-selected examples, and thoroughly proved main results. Comments for potential further development are presented in Chapters 3–7. A basic introduction to Finsler geometry is included in Chapter 1; the essentials of the related classical theory of Lie groups, homogeneous spaces and groups of isometries are presented in Chapters 2–3. Then the author develops the theory of homogeneous spaces within the Finslerian framework. Chapters 4–6 deal with homogeneous, symmetric and weakly symmetric Finsler spaces. Chapter 7 is entirely devoted to homogeneous Randers spaces, which are good candidates for real world applications and beautiful illustrators of the developed theory.
Complex manifolds. --- Finsler spaces. --- Geometry, Riemannian. --- Mathematics. --- Finsler spaces --- Geometry, Riemannian --- Mathematics --- Physical Sciences & Mathematics --- Geometry --- Riemann geometry --- Riemannian geometry --- Spaces, Finsler --- Differential geometry. --- Differential Geometry. --- Generalized spaces --- Geometry, Non-Euclidean --- Semi-Riemannian geometry --- Geometry, Differential --- Global differential geometry. --- Differential geometry
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Geometry, Riemannian. --- Hermitian structures. --- Riemann, Géométrie de --- Structures hermitiennes --- Differential geometry. Global analysis --- Geometry, Riemannian --- Hermitian structures --- 51 <082.1> --- Structures, Hermitian --- Complex manifolds --- Geometry, Differential --- Kählerian structures --- Riemann geometry --- Riemannian geometry --- Generalized spaces --- Geometry, Non-Euclidean --- Semi-Riemannian geometry --- Mathematics--Series
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Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problems belong to the class of parameter identification problems in partial differential equations (PDEs) and thus are computationally demanding and mathematically challenging. Hence there is a substantial need for stable and efficient solvers for this kind of problems as well as for a rigorous convergence analysis of these methods. This monograph consists of five parts. Part I motivates the importance of developing and analyzing regularization methods in Banach spaces by presenting four applications which intrinsically demand for a Banach space setting and giving a brief glimpse of sparsity constraints. Part II summarizes all mathematical tools that are necessary to carry out an analysis in Banach spaces. Part III represents the current state-of-the-art concerning Tikhonov regularization in Banach spaces. Part IV about iterative regularization methods is concerned with linear operator equations and the iterative solution of nonlinear operator equations by gradient type methods and the iteratively regularized Gauß-Newton method. Part V finally outlines the method of approximate inverse which is based on the efficient evaluation of the measured data with reconstruction kernels.
Banach spaces --- Parameter estimation --- Differential equations, Partial --- Banach, Espaces de --- Estimation d'un paramètre --- Equations aux dérivées partielles --- Banach spaces. --- Parameter estimation. --- Differential equations, Partial. --- Partial differential equations --- Estimation theory --- Stochastic systems --- Functions of complex variables --- Generalized spaces --- Topology --- Banach Space. --- Iterative Method. --- Regularization Theory. --- Tikhonov Regularization.
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This book offers a presentation of the special theory of relativity that is mathematically rigorous and yet spells out in considerable detail the physical significance of the mathematics. It treats, in addition to the usual menu of topics one is accustomed to finding in introductions to special relativity, a wide variety of results of more contemporary origin. These include Zeeman’s characterization of the causal automorphisms of Minkowski spacetime, the Penrose theorem on the apparent shape of a relativistically moving sphere, a detailed introduction to the theory of spinors, a Petrov-type classification of electromagnetic fields in both tensor and spinor form, a topology for Minkowski spacetime whose homeomorphism group is essentially the Lorentz group, and a careful discussion of Dirac’s famous Scissors Problem and its relation to the notion of a two-valued representation of the Lorentz group. This second edition includes a new chapter on the de Sitter universe which is intended to serve two purposes. The first is to provide a gentle prologue to the steps one must take to move beyond special relativity and adapt to the presence of gravitational fields that cannot be considered negligible. The second is to understand some of the basic features of a model of the empty universe that differs markedly from Minkowski spacetime, but may be recommended by recent astronomical observations suggesting that the expansion of our own universe is accelerating rather than slowing down. The treatment presumes only a knowledge of linear algebra in the first three chapters, a bit of real analysis in the fourth and, in two appendices, some elementary point-set topology. The first edition of the book received the 1993 CHOICE award for Outstanding Academic Title. Reviews of first edition: “… a valuable contribution to the pedagogical literature which will be enjoyed by all who delight in precise mathematics and physics.” (American Mathematical Society, 1993) “Where many physics texts explain physical phenomena by means of mathematical models, here a rigorous and detailed mathematical development is accompanied by precise physical interpretations.” (CHOICE, 1993) “… his talent in choosing the most significant results and ordering them within the book can’t be denied. The reading of the book is, really, a pleasure.” (Dutch Mathematical Society, 1993) .
General relativity (Physics) -- Mathematics. --- Generalized spaces. --- Minkowski geometry. --- Special relativity (Physics) -- Mathematics. --- General relativity (Physics) --- Generalized spaces --- Mathematics --- Physics --- Physical Sciences & Mathematics --- Geometry --- Atomic Physics --- Special relativity (Physics) --- Mathematics. --- Relativistic theory of gravitation --- Relativity theory, General --- Ether drift --- Mass energy relations --- Relativity theory, Special --- Restricted theory of relativity --- Special theory of relativity --- Geometry of paths --- Minkowski space --- Spaces, Generalized --- Weyl space --- Minkowski geometries --- Minkowskian geometry --- Minkowski's geometry --- Manifolds (Mathematics). --- Complex manifolds. --- Physics. --- Gravitation. --- Manifolds and Cell Complexes (incl. Diff.Topology). --- Classical and Quantum Gravitation, Relativity Theory. --- Mathematical Methods in Physics. --- Field theory (Physics) --- Matter --- Antigravity --- Centrifugal force --- Relativity (Physics) --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Analytic spaces --- Manifolds (Mathematics) --- Geometry, Differential --- Topology --- Math --- Science --- Properties --- Gravitation --- Calculus of tensors --- Geometry, Non-Euclidean --- Hyperspace --- Cell aggregation --- Mathematical physics. --- Physical mathematics --- Aggregation, Cell --- Cell patterning --- Cell interaction --- Microbial aggregation
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