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This self-contained textbook takes a matrix-oriented approach to linear algebra and presents a complete theory, including all details and proofs, culminating in the Jordan canonical form and its proof. Throughout the development, the applicability of the results is highlighted. Additionally, the book presents special topics from applied linear algebra including matrix functions, the singular value decomposition, the Kronecker product and linear matrix equations. The matrix-oriented approach to linear algebra leads to a better intuition and a deeper understanding of the abstract concepts, and therefore simplifies their use in real world applications. Some of these applications are presented in detailed examples. In several ‘MATLAB-Minutes’ students can comprehend the concepts and results using computational experiments. Necessary basics for the use of MATLAB are presented in a short introduction. Students can also actively work with the material and practice their mathematical skills in more than 300 exercises.
Algebra --- algebra --- matrices --- Matrix theory. --- Algebra. --- Linear and Multilinear Algebras, Matrix Theory.
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This two-volume work presents a systematic theoretical and computational study of several types of generalizations of separable matrices. The primary focus is on fast algorithms (many of linear complexity) for matrices in semiseparable, quasiseparable, band and companion form. The work examines algorithms of multiplication, inversion and description of eigenstructure and includes a wealth of illustrative examples throughout the different chapters. The first volume consists of four parts. The first part is mainly theoretical in character, introducing and studying the quasiseparable and semiseparable representations of matrices and minimal rank completion problems. Three further completions are treated in the second part. The first applications of the quasiseparable and semiseparable structure are included in the third part, where the interplay between the quasiseparable structure and discrete time varying linear systems with boundary conditions play an essential role. The fourth part includes factorization and inversion fast algorithms for matrices via quasiseparable and semiseparable structures. The work is based mostly on results obtained by the authors and their coauthors. Due to its many significant applications and accessible style, the text will be a valuable resource for engineers, scientists, numerical analysts, computer scientists and mathematicians alike.
Algebra --- Numerical analysis --- Mathematics --- algebra --- matrices --- wiskunde --- numerieke analyse --- Matrix theory. --- Algebra. --- Numerical analysis. --- Linear and Multilinear Algebras, Matrix Theory. --- Numerical Analysis.
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This two-volume work presents a systematic theoretical and computational study of several types of generalizations of separable matrices. The primary focus is on fast algorithms (many of linear complexity) for matrices in semiseparable, quasiseparable, band and companion form. The work examines algorithms of multiplication, inversion and description of eigenstructure and includes a wealth of illustrative examples throughout the different chapters. The second volume, consisting of four parts, addresses the eigenvalue problem for matrices with quasiseparable structure and applications to the polynomial root finding problem. In the first part the properties of the characteristic polynomials of principal leading submatrices, the structure of eigenspaces and the basic methods for computing eigenvalues are studied in detail for matrices with quasiseparable representation of the first order. The second part is devoted to the divide and conquer method, with the main algorithms also being derived for matrices with quasiseparable representation of order one. The QR iteration method for some classes of matrices with quasiseparable representations of any order is studied in the third part. This method is then used in the last part in order to provide a fast solver for the polynomial root finding problem. The work is based mostly on results obtained by the authors and their coauthors. Due to its many significant applications and accessible style, the text will be a valuable resource for engineers, scientists, numerical analysts, computer scientists and mathematicians alike.
Algebra --- Numerical analysis --- Mathematics --- algebra --- matrices --- wiskunde --- numerieke analyse --- Matrix theory. --- Algebra. --- Numerical analysis. --- Linear and Multilinear Algebras, Matrix Theory. --- Numerical Analysis.
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This textbook emphasizes the interplay between algebra and geometry to motivate the study of linear algebra. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. By focusing on this interface, the author offers a conceptual appreciation of the mathematics that is at the heart of further theory and applications. Those continuing to a second course in linear algebra will appreciate the companion volume Advanced Linear and Matrix Algebra. Starting with an introduction to vectors, matrices, and linear transformations, the book focuses on building a geometric intuition of what these tools represent. Linear systems offer a powerful application of the ideas seen so far, and lead onto the introduction of subspaces, linear independence, bases, and rank. Investigation then focuses on the algebraic properties of matrices that illuminate the geometry of the linear transformations that they represent. Determinants, eigenvalues, and eigenvectors all benefit from this geometric viewpoint. Throughout, “Extra Topic” sections augment the core content with a wide range of ideas and applications, from linear programming, to power iteration and linear recurrence relations. Exercises of all levels accompany each section, including many designed to be tackled using computer software. Introduction to Linear and Matrix Algebra is ideal for an introductory proof-based linear algebra course. The engaging color presentation and frequent marginal notes showcase the author’s visual approach. Students are assumed to have completed one or two university-level mathematics courses, though calculus is not an explicit requirement. Instructors will appreciate the ample opportunities to choose topics that align with the needs of each classroom, and the online homework sets that are available through WeBWorK.
Algebra --- algebra --- lineaire algebra --- Algebra. --- Algebras, Linear. --- Matrix theory. --- Àlgebra lineal --- Matrius (Matemàtica)
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This book focuses on the vibration behavior of ceramic-matrix composites (CMCs), including (1) vibration natural frequency of intact and damaged CMCs; (2) vibration damping of CMCs considering fibers debonding and fracture; (3) temperature-dependent vibration damping of CMCs; (4) time-dependent vibration damping of CMCs; and (5) cyclic-dependent vibration damping of CMCs. Ceramic-matrix composites (CMCs) possess low material density (i.e., only 1/4 or 1/3 of high-temperature alloy) and high-temperature resistance, which can reduce cooling air and improve structure efficiency. Understanding the failure mechanisms and internal damage evolution represents an important step to ensure reliability and safety of CMCs. Relationships between microstructure, damage mechanisms, vibration natural frequency, and vibration damping of CMCs are established. This book helps the material scientists and engineering designers to understand and master the vibration behavior of CMCs at room and elevated temperatures.
Mechanical properties of solids --- Materials sciences --- Applied physical engineering --- Applied arts. Arts and crafts --- patroonherkenning --- materiaalproductie --- toegepaste mechanica --- keramiek --- optica --- Ceramic-matrix composites. --- Ceramic-matrix composites --- Vibration.. --- Mechanical properties.
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General biophysics --- General biochemistry --- Collagen --- Connective tissues --- Collagène --- Tissu conjonctif --- Periodicals --- Périodiques --- Collagen. --- Connective Tissue. --- Extracellular Matrix. --- Connective tissues. --- Périodiques. --- Connective Tissues --- Tissue, Connective --- Tissues, Connective --- Matrix, Extracellular --- Extracellular Matrices --- Matrices, Extracellular --- Avicon --- Avitene --- Collagen Felt --- Collagen Fleece --- Collagenfleece --- Collastat --- Dermodress --- Microfibril Collagen Hemostat --- Pangen --- Zyderm --- alpha-Collagen --- Collagen Hemostat, Microfibril --- alpha Collagen --- Connective Tissue --- Rheumatology --- Life Sciences --- Cytology, Cell Biology --- Micro and Molecular Biology --- Health Sciences --- Physiology --- Rheumatology. --- Life Sciences. --- Micro and Molecular Biology. --- biochemie --- Extracellular Matrix --- Connective tissue
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This book focuses on the matrix cracking behavior in ceramic-matrix composites (CMCs), including first matrix cracking behavior, matrix cracking evolution behavior, matrix crack opening and closure behavior considering temperature and oxidation. The micro-damage mechanisms are analyzed, and the micromechanical damage models are developed to characterize the cracking behavior. Experimental matrix cracking behavior of different CMCs at room and elevated temperatures is predicted. The book can help the material scientists and engineering designers to better understand the cracking behavior in CMCs.
Solid state physics --- Materials sciences --- Applied physical engineering --- Applied arts. Arts and crafts --- materiaalproductie --- toegepaste mechanica --- mechanica --- keramiek --- Ceramic-matrix composites.
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The book begins at an undergraduate student level, assuming only basic knowledge of calculus in one variable. It rigorously treats topics such as multivariable differential calculus, the Lebesgue integral, vector calculus and differential equations. After having created a solid foundation of topology and linear algebra, the text later expands into more advanced topics such as complex analysis, differential forms, calculus of variations, differential geometry and even functional analysis. Overall, this text provides a unique and well-rounded introduction to the highly developed and multi-faceted subject of mathematical analysis as understood by mathematicians today.
Algebra --- Algebraic geometry --- Functional analysis --- Differential equations --- Mathematical analysis --- Mathematics --- Mathematical physics --- differentiaalvergelijkingen --- algebra --- analyse (wiskunde) --- complexe veranderlijken --- reeksen (wiskunde) --- matrices --- functies (wiskunde) --- wiskunde --- Functions of real variables. --- Matrix theory. --- Algebra. --- Measure theory. --- Functions of complex variables. --- Differential equations. --- Sequences (Mathematics) --- Real Functions. --- Linear and Multilinear Algebras, Matrix Theory. --- Measure and Integration. --- Functions of a Complex Variable. --- Ordinary Differential Equations. --- Sequences, Series, Summability.
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Optimal analysis is defined as an analysis that creates and uses sparse, well-structured and well-conditioned matrices. The focus is on efficient methods for eigensolution of matrices involved in static, dynamic and stability analyses of symmetric and regular structures, or those general structures containing such components. Powerful tools are also developed for configuration processing, which is an important issue in the analysis and design of space structures and finite element models. Different mathematical concepts are combined to make the optimal analysis of structures feasible. Canonical forms from matrix algebra, product graphs from graph theory and symmetry groups from group theory are some of the concepts involved in the variety of efficient methods and algorithms presented. The algorithms elucidated in this book enable analysts to handle large-scale structural systems by lowering their computational cost, thus fulfilling the requirement for faster analysis and design of future complex systems. The value of the presented methods becomes all the more evident in cases where the analysis needs to be repeated hundreds or even thousands of times, as for the optimal design of structures by different metaheuristic algorithms. The book is of interest to anyone engaged in computer-aided analysis and design and software developers in this field. Though the methods are demonstrated mainly through skeletal structures, continuum models have also been added to show the generality of the methods. The concepts presented are not only applicable to different types of structures but can also be used for the analysis of other systems such as hydraulic and electrical networks.
Numerical methods of optimisation --- Operational research. Game theory --- Applied physical engineering --- Engineering sciences. Technology --- Computer. Automation --- Civil engineering. Building industry --- automatisering --- wiskunde --- ingenieurswetenschappen --- bouwconstructies --- mechanica --- Structural analysis (Engineering) --- Matrix methods. --- Mathematical models.
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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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