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This elementary introduction was developed from lectures by the authors on business mathematics and the lecture "Analysis and Linear Algebra" for Bachelor's degree programmes. It is designed for courses in business administration and business informatics at universities, universities of applied sciences and cooperative universities. With the 5th edition, the title was changed to "Analysis and Linear Algebra". The treatment of sequences and series has been added and some exercises have been added to the introductory chapters. The focus is on teaching mathematical basics with regard to applications in business and financial mathematics. Contents from the upper secondary school are repeated in a compact form. Numerous examples and exercises make the book clear and promote understanding of interrelationships. The introduction is therefore also suitable for A-level students at business schools. The detailed solutions to the exercises are provided on the book's website. The book is therefore also very suitable for self-study. The contents Elementary basics Functions Differential calculus Integral calculus Linear Algebra Functions with several variables Financial mathematics The Authors Prof. Dr. Thomas Holey is head of the Business Information Systems programme at the Baden-Württemberg Cooperative State University Mannheim and represents the basic mathematical subjects in teaching. Prof. Dr. Armin Wiedemann teaches formal methods of computer science as well as the mathematical subjects at the Baden-Württemberg Cooperative State University Mannheim. He is retired now.
Algebras, Linear. --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology
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Linear Algebra: Algorithms, Applications, and Techniques, Fourth Edition offers a modern and algorithmic approach to computation while providing clear and straightforward theoretical background information. The book guides readers through the major applications, with chapters on properties of real numbers, proof techniques, matrices, vector spaces, linear transformations, eigen values, and Euclidean inner products. Appendices on Jordan canonical forms and Markov chains are included for further study. This useful textbook presents broad and balanced views of theory, with key material highlighted and summarized in each chapter. To further support student practice, the book also includes ample exercises with answers and hints.
Algebras, Linear. --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology
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This book is based on a course for first-semester science students, held by the second author at the University of Zurich several times. Its goal is threefold: to have students learn a minimal working knowledge of linear algebra, acquire some computational skills, and familiarize them with mathematical language to make mathematical literature more accessible. Therefore, we give precise definitions, introduce helpful notations, and state any results carefully worded. We provide no proofs of these results but typically illustrate them with numerous examples. Additionally, for better understanding, we often give supporting arguments for why they are valid.
Algebras, Linear. --- Algebra. --- Linear Algebra. --- Mathematics --- Mathematical analysis --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Calculus of operations --- Line geometry --- Topology
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Covering an exciting and active area of research at the crossroads of several different fields in mathematics and physics, and drawing on the author's previous work, this text has been written to explain the advanced mathematics involved simply and clearly to graduate students in both disciplines.
Geometry, Riemannian. --- Holonomy groups. --- Groups, Holonomy --- Geometry, Differential --- Riemann geometry --- Riemannian geometry --- Generalized spaces --- Geometry, Non-Euclidean --- Semi-Riemannian geometry --- Riemann, Géométrie de
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This textbook demonstrates the strong interconnections between linear algebra and group theory by presenting them simultaneously, a pedagogical strategy ideal for an interdisciplinary audience. Being approached together at the same time, these two topics complete one another, allowing students to attain a deeper understanding of both subjects. The opening chapters introduce linear algebra with applications to mechanics and statistics, followed by group theory with applications to projective geometry. Then, high-order finite elements are presented to design a regular mesh and assemble the stiffness and mass matrices in advanced applications in quantum chemistry and general relativity. This text is ideal for undergraduates majoring in engineering, physics, chemistry, computer science, or applied mathematics. It is mostly self-contained—readers should only be familiar with elementary calculus. There are numerous exercises, with hints or full solutions provided. A series of roadmaps are also provided to help instructors choose the optimal teaching approach for their discipline. The second edition has been revised and updated throughout and includes new material on the Jordan form, the Hermitian matrix and its eigenbasis, and applications in numerical relativity and electromagnetics. .
Algebras, Linear. --- Mathematical physics. --- Group theory. --- Numerical analysis. --- Computer science—Mathematics. --- Linear Algebra. --- Mathematical Physics. --- Group Theory and Generalizations. --- Numerical Analysis. --- Mathematical Applications in Computer Science. --- Mathematical analysis --- Groups, Theory of --- Substitutions (Mathematics) --- Algebra --- Physical mathematics --- Physics --- Mathematics --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Calculus of operations --- Line geometry --- Topology --- Àlgebra lineal --- Teoria de grups
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This textbook offers a comprehensive coverage of the fundamentals of calculus, linear algebra and analytic geometry. Intended for bachelor’s students in science, engineering, architecture, economics, the presentation is self-contained, and supported by numerous graphs, to facilitate visualization and also to stimulate readers’ intuition. The proofs of the theorems are rigorous, yet presented in straightforward and comprehensive way. With a good balance between algebra, geometry and analysis, this book guides readers to apply the theory to solve differential equations. Many problems and solved exercises are included. Students are expected to gain a solid background and a versatile attitude towards calculus, algebra and geometry, which can be later used to acquire new skills in more advanced scientific disciplines, such as bioinformatics, process engineering, and finance. At the same time, instructors are provided with extensive information and inspiration for the preparation of their own courses.
Engineering mathematics. --- Algebras, Linear. --- Mathematics. --- Engineering Mathematics. --- Linear Algebra. --- Applications of Mathematics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Math --- Science --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Calculus of operations --- Line geometry --- Topology --- Mathematics --- Calculus. --- Geometric analysis. --- Analysis (Mathematics) --- Fluxions (Mathematics) --- Infinitesimal calculus --- Limits (Mathematics) --- Functions --- Geometry, Infinitesimal --- Geometric analysis PDEs (Geometric partial differential equations) --- Geometry --- Càlcul --- Àlgebra lineal
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This book presents a unified, progressive treatment of the basic mathematical tools of mathematical programming theory. The subject of (static) optimization, also called mathematical programming, is one of the most important and widespread branches of modern mathematics, serving as a cornerstone of such scientific subjects as economic analysis, operations research, management sciences, engineering, chemistry, physics, statistics, computer science, biology, and social sciences. This book presents a unified, progressive treatment of the basic mathematical tools of mathematical programming theory. The authors expose said tools, along with results concerning the most common mathematical programming problems formulated in a finite-dimensional setting, forming the basis for further study of the basic questions on the various algorithmic methods and the most important particular applications of mathematical programming problems. This book assumes no previous experience in optimization theory, and the treatment of the various topics is largely self-contained. Prerequisites are the basic tools of differential calculus for functions of several variables, the basic notions of topology in Rn and of linear algebra, and the basic mathematical notions and theoretical background used in analyzing optimization problems. The book is aimed at both undergraduate and postgraduate students interested in mathematical programming problems but also those professionals who use optimization methods and wish to learn the more theoretical aspects of these questions.
Operations research. --- Mathematical optimization. --- Algebras, Linear. --- Operations Research and Decision Theory. --- Optimization. --- Linear Algebra. --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Programming (Mathematics)
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Setting forth the basic principles of tensors and manifolds, this book describes how the mathematics underlie elegant geometrical models of classical mechanics, relativity and elementary particle physics.
Calculus of tensors. --- Manifolds (Mathematics) --- Mathematical physics. --- Generalized spaces. --- Mechanics. --- Relativity (Physics) --- Gravitation --- Nonrelativistic quantum mechanics --- Space and time --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Geometry of paths --- Minkowski space --- Spaces, Generalized --- Weyl space --- Calculus of tensors --- Geometry, Differential --- Geometry, Non-Euclidean --- Hyperspace --- Physical mathematics --- Topology --- Absolute differential calculus --- Analysis, Tensor --- Calculus, Absolute differential --- Calculus, Tensor --- Tensor analysis --- Tensor calculus --- Geometry, Infinitesimal --- Vector analysis --- Spinor analysis --- Mathematics
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This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject by using new methods. Dedicated to Prof. Calyampudi Radhakrishna Rao (C.R. Rao) who has completed 100 years of legendary life and continues to inspire us all and Prof. Arbind K. Lal who has sadly departed us too early, it has contributions from collaborators, students, colleagues and admirers of Professors Rao and Lal. With many chapters on generalized inverses, matrix analysis, matrices and graphs, applied probability and statistics, and the history of ancient mathematics, this book offers a diverse array of mathematical results, techniques and applications. The book promises to be especially rewarding for readers with an interest in the focus areas of applied linear algebra, probability and statistics.
Algebras, Linear. --- Probabilities. --- Statistics. --- Graph theory. --- Stochastic processes. --- Game theory. --- Linear Algebra. --- Probability Theory. --- Statistical Theory and Methods. --- Graph Theory. --- Stochastic Processes. --- Game Theory. --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Random processes --- Probabilities --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Extremal problems
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This book comprises select peer-reviewed articles submitted for the proceedings of the International Conference on Mathematics and Computing (ICMC 2022), held by the School of Advanced Sciences, Vellore Institute of Technology, Vellore, India, in association with Ramanujan Mathematical Society, India, Cryptology Research Society of India and Society for Electronic Transactions and Security, India, from 6–8 January 2022. With an aim to identify the existing challenges in the areas of mathematics and computing, the book emphasizes the importance of establishing new methods and algorithms to address these challenges. The book includes topics on diverse applications of cryptology, network security, cyber security, block chain, IoT, mobile network, data analytics, applied algebra, mathematical analysis, mathematical modelling, fluid dynamics, fractional calculus, multi-optimization, integral equations, dynamical systems, numerical analysis and scientific computing. Divided into five major parts—applied algebra and analysis, fractional calculus and integral equations, mathematical modelling and fluid dynamics, numerical analysis, and computer science and applications—the book is a useful resource for students, researchers and faculty as well as practitioners.
Algebras, Linear. --- Mathematical analysis. --- Integral equations. --- Fluid mechanics. --- Numerical analysis. --- Mathematical models. --- Linear Algebra. --- Analysis. --- Integral Equations. --- Engineering Fluid Dynamics. --- Numerical Analysis. --- Mathematical Modeling and Industrial Mathematics. --- Informàtica --- Àlgebra lineal --- Anàlisi matemàtica --- Models matemàtics --- Models, Mathematical --- Simulation methods --- Mathematical analysis --- Hydromechanics --- Continuum mechanics --- Equations, Integral --- Functional equations --- Functional analysis --- 517.1 Mathematical analysis --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Calculus of operations --- Line geometry --- Topology --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models lineals (Estadística) --- Models multinivell (Estadística) --- Models no lineals (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Matemàtica --- Anàlisi combinatòria --- Anàlisi de Fourier --- Anàlisi estocàstica --- Anàlisi matemàtica no-estàndard --- Anàlisi numèrica --- Funcions --- Matemàtica per a enginyers --- Sèries infinites --- Teoria del potencial (Matemàtica) --- Teories no lineals --- Rutes aleatòries (Matemàtica) --- Àlgebra --- Càlcul --- Àlgebra universal --- Espais generalitzats --- Àlgebra tensorial --- Àlgebra vectorial --- Àlgebres de Clifford --- Àlgebres de Jordan --- Àlgebres de Lie --- Complexos (Matemàtica) --- Espais vectorials --- Topologia --- Enginyeria --- Càlcul intensiu (Informàtica) --- Disseny de sistemes --- Història de la informàtica --- Geometria computacional --- Informàtica tova --- Processament de dades --- Sistemes informàtics --- Teledocumentació --- Tractament del llenguatge natural (Informàtica) --- Automatització d'arxius --- Automatització de biblioteques --- Automatització de museus --- Indústria informàtica --- Teoria de la informació
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