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can an overdetermined system have a unique solution: Numerical Linear Algebra and Applications Biswa Nath Datta, 2010-01-01 Full of features and applications, this acclaimed textbook for upper undergraduate level and graduate level students includes all the major topics of computational linear algebra, including solution of a system of linear equations, least-squares solutions of linear systems, computation of eigenvalues, eigenvectors, and singular value problems. Drawing from numerous disciplines of science and engineering, the author covers a variety of motivating applications. When a physical problem is posed, the scientific and engineering significance of the solution is clearly stated. Each chapter contains a summary of the important concepts developed in that chapter, suggestions for further reading, and numerous exercises, both theoretical and MATLAB and MATCOM based. The author also provides a list of key words for quick reference. The MATLAB toolkit available online, 'MATCOM', contains implementations of the major algorithms in the book and will enable students to study different algorithms for the same problem, comparing efficiency, stability, and accuracy. |
can an overdetermined system have a unique solution: Mathematical Geosciences Joseph L. Awange, Béla Paláncz, Robert H. Lewis, Lajos Völgyesi, 2018-01-29 This book showcases powerful new hybrid methods that combine numerical and symbolic algorithms. Hybrid algorithm research is currently one of the most promising directions in the context of geosciences mathematics and computer mathematics in general. One important topic addressed here with a broad range of applications is the solution of multivariate polynomial systems by means of resultants and Groebner bases. But that’s barely the beginning, as the authors proceed to discuss genetic algorithms, integer programming, symbolic regression, parallel computing, and many other topics. The book is strictly goal-oriented, focusing on the solution of fundamental problems in the geosciences, such as positioning and point cloud problems. As such, at no point does it discuss purely theoretical mathematics. The book delivers hybrid symbolic-numeric solutions, which are a large and growing area at the boundary of mathematics and computer science. Dr. Daniel Li chtbau |
can an overdetermined system have a unique solution: Geophysical Data Analysis: Discrete Inverse Theory William Menke, 2012-12-02 Geophysical Data Analysis: Discrete Inverse Theory is an introductory text focusing on discrete inverse theory that is concerned with parameters that either are truly discrete or can be adequately approximated as discrete. Organized into 12 chapters, the book's opening chapters provide a general background of inverse problems and their corresponding solution, as well as some of the basic concepts from probability theory that are applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem, that is, the linear problem with Gaussian statistics, and discussions on problems that are non-Gaussian and nonlinear are covered in Chapters 8 and 9. Chapters 10-12 present examples of the use of inverse theory and a discussion on the numerical algorithms that must be employed to solve inverse problems on a computer. This book is of value to graduate students and many college seniors in the applied sciences. |
can an overdetermined system have a unique solution: Iterative Methods for Sparse Linear Systems Yousef Saad, 2003-04-01 Mathematics of Computing -- General. |
can an overdetermined system have a unique solution: Matrix Operations for Engineers and Scientists Alan Jeffrey, 2010-09-05 Engineers and scientists need to have an introduction to the basics of linear algebra in a context they understand. Computer algebra systems make the manipulation of matrices and the determination of their properties a simple matter, and in practical applications such software is often essential. However, using this tool when learning about matrices, without first gaining a proper understanding of the underlying theory, limits the ability to use matrices and to apply them to new problems. This book explains matrices in the detail required by engineering or science students, and it discusses linear systems of ordinary differential equations. These students require a straightforward introduction to linear algebra illustrated by applications to which they can relate. It caters of the needs of undergraduate engineers in all disciplines, and provides considerable detail where it is likely to be helpful. According to the author the best way to understand the theory of matrices is by working simple exercises designed to emphasize the theory, that at the same time avoid distractions caused by unnecessary numerical calculations. Hence, examples and exercises in this book have been constructed in such a way that wherever calculations are necessary they are straightforward. For example, when a characteristic equation occurs, its roots (the eigenvalues of a matrix) can be found by inspection. The author of this book is Alan Jeffrey, Emeritus Professor of mathematics at the University of Newcastle upon Tyne. He has given courses on engineering mathematics at UK and US Universities. |
can an overdetermined system have a unique solution: Matrix, Numerical, and Optimization Methods in Science and Engineering Kevin W. Cassel, 2021-03-04 Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. |
can an overdetermined system have a unique solution: Matrix Computations Gene Howard Golub, Charles F. Van Loan, 1983 |
can an overdetermined system have a unique solution: Subspace Identification for Linear Systems Peter van Overschee, B.L. de Moor, 2012-12-06 Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems. These algorithms allow for a fast, straightforward and accurate determination of linear multivariable models from measured input-output data. The theory of subspace identification algorithms is presented in detail. Several chapters are devoted to deterministic, stochastic and combined deterministic-stochastic subspace identification algorithms. For each case, the geometric properties are stated in a main 'subspace' Theorem. Relations to existing algorithms and literature are explored, as are the interconnections between different subspace algorithms. The subspace identification theory is linked to the theory of frequency weighted model reduction, which leads to new interpretations and insights. The implementation of subspace identification algorithms is discussed in terms of the robust and computationally efficient RQ and singular value decompositions, which are well-established algorithms from numerical linear algebra. The algorithms are implemented in combination with a whole set of classical identification algorithms, processing and validation tools in Xmath's ISID, a commercially available graphical user interface toolbox. The basic subspace algorithms in the book are also implemented in a set of Matlab files accompanying the book. An application of ISID to an industrial glass tube manufacturing process is presented in detail, illustrating the power and user-friendliness of the subspace identification algorithms and of their implementation in ISID. The identified model allows for an optimal control of the process, leading to a significant enhancement of the production quality. The applicability of subspace identification algorithms in industry is further illustrated with the application of the Matlab files to ten practical problems. Since all necessary data and Matlab files are included, the reader can easily step through these applications, and thus get more insight in the algorithms. Subspace Identification for Linear Systems is an important reference for all researchers in system theory, control theory, signal processing, automization, mechatronics, chemical, electrical, mechanical and aeronautical engineering. |
can an overdetermined system have a unique solution: Applied Numerical Linear Algebra James W. Demmel, 1997-08-01 This comprehensive textbook is designed for first-year graduate students from a variety of engineering and scientific disciplines. |
can an overdetermined system have a unique solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai , Yang Wang, 2021-06-25 This textbook presents a special solution to underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called a sparse solution. Since underdetermined linear systems can be very different, the authors explain how to compute a sparse solution using many approaches. Sparse Solutions of Underdetermined Linear Systems and Their Applications contains 64 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval and provides a detailed explanation of these algorithms including derivations and convergence analysis. Exercises for each chapter help readers understand the material. This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdoctoral scholars will also find the book interesting and useful. |
can an overdetermined system have a unique solution: Discrete Inverse Problems Per Christian Hansen, 2010-01-01 This book gives an introduction to the practical treatment of inverse problems by means of numerical methods, with a focus on basic mathematical and computational aspects. To solve inverse problems, we demonstrate that insight about them goes hand in hand with algorithms. |
can an overdetermined system have a unique solution: Elementary Linear Algebra Howard Anton, 2010-03-15 When it comes to learning linear algebra, engineers trust Anton. The tenth edition presents the key concepts and topics along with engaging and contemporary applications. The chapters have been reorganized to bring up some of the more abstract topics and make the material more accessible. More theoretical exercises at all levels of difficulty are integrated throughout the pages, including true/false questions that address conceptual ideas. New marginal notes provide a fuller explanation when new methods and complex logical steps are included in proofs. Small-scale applications also show how concepts are applied to help engineers develop their mathematical reasoning. |
can an overdetermined system have a unique solution: Solving Least Squares Problems Charles L. Lawson, Richard J. Hanson, 1995-12-01 This Classic edition includes a new appendix which summarizes the major developments since the book was originally published in 1974. The additions are organized in short sections associated with each chapter. An additional 230 references have been added, bringing the bibliography to over 400 entries. Appendix C has been edited to reflect changes in the associated software package and software distribution method. |
can an overdetermined system have a unique solution: Partial Differential Equations Walter A. Strauss, 2007-12-21 Our understanding of the fundamental processes of the natural world is based to a large extent on partial differential equations (PDEs). The second edition of Partial Differential Equations provides an introduction to the basic properties of PDEs and the ideas and techniques that have proven useful in analyzing them. It provides the student a broad perspective on the subject, illustrates the incredibly rich variety of phenomena encompassed by it, and imparts a working knowledge of the most important techniques of analysis of the solutions of the equations. In this book mathematical jargon is minimized. Our focus is on the three most classical PDEs: the wave, heat and Laplace equations. Advanced concepts are introduced frequently but with the least possible technicalities. The book is flexibly designed for juniors, seniors or beginning graduate students in science, engineering or mathematics. |
can an overdetermined system have a unique solution: Numerical Linear Algebra with Applications William Ford, 2014-09-14 Numerical Linear Algebra with Applications is designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, using MATLAB as the vehicle for computation. The book contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. The text consists of six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra. It explains in great detail the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra. In addition to examples from engineering and science applications, proofs of required results are provided without leaving out critical details. The Preface suggests ways in which the book can be used with or without an intensive study of proofs. This book will be a useful reference for graduate or advanced undergraduate students in engineering, science, and mathematics. It will also appeal to professionals in engineering and science, such as practicing engineers who want to see how numerical linear algebra problems can be solved using a programming language such as MATLAB, MAPLE, or Mathematica. - Six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra - Detailed explanations and examples - A through discussion of the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra - Examples from engineering and science applications |
can an overdetermined system have a unique solution: Linear Algebra As An Introduction To Abstract Mathematics Bruno Nachtergaele, Anne Schilling, Isaiah Lankham, 2015-11-30 This is an introductory textbook designed for undergraduate mathematics majors with an emphasis on abstraction and in particular, the concept of proofs in the setting of linear algebra. Typically such a student would have taken calculus, though the only prerequisite is suitable mathematical grounding. The purpose of this book is to bridge the gap between the more conceptual and computational oriented undergraduate classes to the more abstract oriented classes. The book begins with systems of linear equations and complex numbers, then relates these to the abstract notion of linear maps on finite-dimensional vector spaces, and covers diagonalization, eigenspaces, determinants, and the Spectral Theorem. Each chapter concludes with both proof-writing and computational exercises. |
can an overdetermined system have a unique solution: A Mathematical Primer for Social Statistics John Fox, 2021-01-11 A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic language of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a math camp or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods. |
can an overdetermined system have a unique solution: Dennis G. Zill, Warren S. Wright, 2009-12-21 Now with a full-color design, the new Fourth Edition of Zill's Advanced Engineering Mathematics provides an in-depth overview of the many mathematical topics necessary for students planning a career in engineering or the sciences. A key strength of this text is Zill's emphasis on differential equations as mathematical models, discussing the constructs and pitfalls of each. The Fourth Edition is comprehensive, yet flexible, to meet the unique needs of various course offerings ranging from ordinary differential equations to vector calculus. Numerous new projects contributed by esteemed mathematicians have been added. New modern applications and engaging projects makes Zill's classic text a must-have text and resource for Engineering Math students! |
can an overdetermined system have a unique solution: Handbook of Differential Equations:Stationary Partial Differential Equations Michel Chipot, Pavol Quittner, 2005-08-19 A collection of self contained, state-of-the-art surveys. The authors have made an effort to achieve readability for mathematicians and scientists from other fields, for this series of handbooks to be a new reference for research, learning and teaching.Partial differential equations represent one of the most rapidly developing topics in mathematics. This is due to their numerous applications in science and engineering on the one hand and to the challenge and beauty of associated mathematical problems on the other.Key features:- Self-contained volume in series covering one of the most rapid developing topics in mathematics.- 7 Chapters, enriched with numerous figures originating from numerical simulations.- Written by well known experts in the field.- Self-contained volume in series covering one of the most rapid developing topics in mathematics.- 7 Chapters, enriched with numerous figures originating from numerical simulations.- Written by well known experts in the field. |
can an overdetermined system have a unique solution: Gareth Williams, 2007-08-17 Linear Algebra with Applications, Sixth Edition is designed for the introductory course in linear algebra typically offered at the sophomore level. The new Sixth Edition is reorganized and arranged into three important parts. Part 1 introduces the basics, presenting the systems of linear equations, vectors in Rn, matrices, linear transformations, and determinants. Part 2 builds on this material to discuss general vector spaces, such as spaces of matrices and functions. Part 3 completes the course with many of the important ideas and methods in Numerical Linear Algebra, such as ill-conditioning, pivoting, and the LU decomposition. New applications include the role of linear algebra in the operation of the search engine Google and the global structure of the worldwide air transportation network have been added as a means of presenting real-world scenarios of the many functions of linear algebra in modern technology. Clear, Concise, Comprehensive - Linear Algebra with Applications, Sixth Edition continues to educate and enlighten students, providing a broad exposure to the many facets of the field. |
can an overdetermined system have a unique solution: Discrete Inverse and State Estimation Problems Carl Wunsch, 2006-06-29 Addressing the problems of making inferences from noisy observations and imperfect theories, this 2006 book introduces many inference tools and practical applications. Starting with fundamental algebraic and statistical ideas, it is ideal for graduate students and researchers in oceanography, climate science, and geophysical fluid dynamics. |
can an overdetermined system have a unique solution: Generalized Inverses Adi Ben-Israel, Thomas N.E. Greville, 2006-04-18 This second edition accounts for many major developments in generalized inverses while maintaining the informal and leisurely style of the 1974 first edition. Added material includes a chapter on applications, new exercises, and an appendix on the work of E.H. Moore. |
can an overdetermined system have a unique solution: Cryptography and Coding Matthew G. Parker, 2009-12-02 This book constitutes the refereed proceedings of the 12th IMA International Conference on Cryptography and Coding, held in Cirencester, UK in December 2009. The 26 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on coding theory, symmetric cryptography, security protocols, asymmetric cryptography, Boolean functions and side channels and implementations. |
can an overdetermined system have a unique solution: What Every Engineer Should Know about MATLAB and Simulink Adrian B. Biran, 2010-07-20 MATLAB can be used to execute many mathematical and engineering calculations, as well as a handheld computer can-if not better. Moreover, like many other computer languages, it can perform tasks that a handheld computer cannot. Compared to other computer languages, MATLAB provides many built-in functions that make learning easier and reduce prototy |
can an overdetermined system have a unique solution: Mathematical Foundations for Linear Circuits and Systems in Engineering John J. Shynk, 2016-01-26 Extensive coverage of mathematical techniques used in engineering with an emphasis on applications in linear circuits and systems Mathematical Foundations for Linear Circuits and Systems in Engineering provides an integrated approach to learning the necessary mathematics specifically used to describe and analyze linear circuits and systems. The chapters develop and examine several mathematical models consisting of one or more equations used in engineering to represent various physical systems. The techniques are discussed in-depth so that the reader has a better understanding of how and why these methods work. Specific topics covered include complex variables, linear equations and matrices, various types of signals, solutions of differential equations, convolution, filter designs, and the widely used Laplace and Fourier transforms. The book also presents a discussion of some mechanical systems that mathematically exhibit the same dynamic properties as electrical circuits. Extensive summaries of important functions and their transforms, set theory, series expansions, various identities, and the Lambert W-function are provided in the appendices. The book has the following features: Compares linear circuits and mechanical systems that are modeled by similar ordinary differential equations, in order to provide an intuitive understanding of different types of linear time-invariant systems. Introduces the theory of generalized functions, which are defined by their behavior under an integral, and describes several properties including derivatives and their Laplace and Fourier transforms. Contains numerous tables and figures that summarize useful mathematical expressions and example results for specific circuits and systems, which reinforce the material and illustrate subtle points. Provides access to a companion website that includes a solutions manual with MATLAB code for the end-of-chapter problems. Mathematical Foundations for Linear Circuits and Systems in Engineering is written for upper undergraduate and first-year graduate students in the fields of electrical and mechanical engineering. This book is also a reference for electrical, mechanical, and computer engineers as well as applied mathematicians. John J. Shynk, PhD, is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. He was a Member of Technical Staff at Bell Laboratories, and received degrees in systems engineering, electrical engineering, and statistics from Boston University and Stanford University. |
can an overdetermined system have a unique solution: Linear Algebra with Applications Gareth Williams, 2012-08-28 Introductory courses in Linear Algebra can be taught in a variety of ways and the order of topics offered may vary based on the needs of the students. Linear Algebra with Applications, Alternate Eighth Edition provides instructors with an additional presentation of course material. In this edition earlier chapters cover systems of linear equations, matrices, and determinants. The more abstract material on vector spaces starts later, in Chapter 4, with the introduction of the vector space R(n). This leads directly into general vector spaces and linear transformations. This alternate edition is especially appropriate for students preparing to apply linear equations and matrices in their own fields. Clear, concise, and comprehensive--the Alternate Eighth Edition continues to educate and enlighten students, leading to a mastery of the matehmatics and an understainding of how to apply it. New and Key Features of the Alternate Eighth Edition: - Updated and revised throughout with new section material and exercises included in every chapter. - Provides students with a flexible blend of theory, important numerical techniques and interesting relevant applications. - Includes discussions of the role of linear algebra in many areas such as the operation of the Google search engine and the global structure of the worldwide air transportation network. - A MATLAB manual that ties into the regular course material is included as an appendix. These ideas can be implemented on any matrix algebra software package. A graphing calculator manual is also included. - A Student Solutions Manual that contain solutions to selected exercises is available as a supplement, An Instructor Complete Solutions Manual containing worked solutions to all exercises is also available. |
can an overdetermined system have a unique solution: Analysis of Metallic Antennas and Scatterers Branko D. Popović, B. M. Kolundžija, 1994 Describes a novel, general entire-domain method for the analysis of metallic antennas and scatterers that enables a very wide range of problems to be solved using computers of relatively modest capability. The conventional approximation approach requires a large amount of computer storage. Of interest to engineers, scientists, and graduate students engaged in the analysis or design of electrically small and medium-sized antennas and scatterers. Distributed by INSPEC. Annotation copyright by Book News, Inc., Portland, OR |
can an overdetermined system have a unique solution: Accuracy and Stability of Numerical Algorithms Nicholas J. Higham, 2002-08-01 Accuracy and Stability of Numerical Algorithms gives a thorough, up-to-date treatment of the behavior of numerical algorithms in finite precision arithmetic. It combines algorithmic derivations, perturbation theory, and rounding error analysis, all enlivened by historical perspective and informative quotations. This second edition expands and updates the coverage of the first edition (1996) and includes numerous improvements to the original material. Two new chapters treat symmetric indefinite systems and skew-symmetric systems, and nonlinear systems and Newton's method. Twelve new sections include coverage of additional error bounds for Gaussian elimination, rank revealing LU factorizations, weighted and constrained least squares problems, and the fused multiply-add operation found on some modern computer architectures. |
can an overdetermined system have a unique solution: Animal Cell Biotechnology Ralf Pörtner, 2007-04-05 The second edition of this book constitutes a comprehensive manual of new techniques for setting up mammalian cell lines for production of biopharmaceuticals, and for optimizing critical parameters for cell culture considering the whole cascade from lab to final production. The chapters are written by world-renowned experts and the volume’s five parts reflect the processes required for different stages of production. This book is a compendium of techniques for scientists in both industrial and research laboratories that use mammalian cells for biotechnology purposes. |
can an overdetermined system have a unique solution: 25 Problems for STEM Education Valery Ochkov, 2020-01-31 25 Problems for STEM Education introduces a new and emerging course for undergraduate STEM programs called Physical-Mathematical Informatics. This course corresponds with the new direction in education called STE(A)M (Science, Technology, Engineering, [Art] and Mathematics). The book focuses on undergraduate university students (and high school students), as well as the teachers of mathematics, physics, chemistry and other disciplines such as the humanities. This book is suitable for readers who have a basic understanding of mathematics and math software. Features Contains 32 interesting problems (studies) and new and unique methods of solving these physical and mathematical problems using a computer as well as new methods of teaching mathematics and physics Suitable for students in advanced high school courses and undergraduates, as well as for students studying Mathematical Education at the Master’s or PhD level One of the only books that attempts to bring together ST(E)AM techniques, computational mathematics and informatics in a single, unified format |
can an overdetermined system have a unique solution: The Total Least Squares Problem Sabine Van Huffel, Joos Vandewalle, 1991-01-01 This is the first book devoted entirely to total least squares. The authors give a unified presentation of the TLS problem. A description of its basic principles are given, the various algebraic, statistical and sensitivity properties of the problem are discussed, and generalizations are presented. Applications are surveyed to facilitate uses in an even wider range of applications. Whenever possible, comparison is made with the well-known least squares methods. A basic knowledge of numerical linear algebra, matrix computations, and some notion of elementary statistics is required of the reader; however, some background material is included to make the book reasonably self-contained. |
can an overdetermined system have a unique solution: Guide to Programming and Algorithms Using R Özgür Ergül, 2013-07-23 This easy-to-follow textbook provides a student-friendly introduction to programming and algorithms. Emphasis is placed on the threshold concepts that present barriers to learning, including the questions that students are often too embarrassed to ask. The book promotes an active learning style in which a deeper understanding is gained from evaluating, questioning, and discussing the material, and practised in hands-on exercises. Although R is used as the language of choice for all programs, strict assumptions are avoided in the explanations in order for these to remain applicable to other programming languages. Features: provides exercises at the end of each chapter; includes three mini projects in the final chapter; presents a list of titles for further reading at the end of the book; discusses the key aspects of loops, recursions, program and algorithm efficiency and accuracy, sorting, linear systems of equations, and file processing; requires no prior background knowledge in this area. |
can an overdetermined system have a unique solution: A Mathematical Introduction to Compressive Sensing Simon Foucart, Holger Rauhut, 2013-08-13 At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians. A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. With only moderate prerequisites, it is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing. |
can an overdetermined system have a unique solution: Advanced Engineering Mathematics Dennis G. Zill, Michael R. Cullen, 2006 Thoroughly Updated, Zill'S Advanced Engineering Mathematics, Third Edition Is A Compendium Of Many Mathematical Topics For Students Planning A Career In Engineering Or The Sciences. A Key Strength Of This Text Is Zill'S Emphasis On Differential Equations As Mathematical Models, Discussing The Constructs And Pitfalls Of Each. The Third Edition Is Comprehensive, Yet Flexible, To Meet The Unique Needs Of Various Course Offerings Ranging From Ordinary Differential Equations To Vector Calculus. Numerous New Projects Contributed By Esteemed Mathematicians Have Been Added. Key Features O The Entire Text Has Been Modernized To Prepare Engineers And Scientists With The Mathematical Skills Required To Meet Current Technological Challenges. O The New Larger Trim Size And 2-Color Design Make The Text A Pleasure To Read And Learn From. O Numerous NEW Engineering And Science Projects Contributed By Top Mathematicians Have Been Added, And Are Tied To Key Mathematical Topics In The Text. O Divided Into Five Major Parts, The Text'S Flexibility Allows Instructors To Customize The Text To Fit Their Needs. The First Eight Chapters Are Ideal For A Complete Short Course In Ordinary Differential Equations. O The Gram-Schmidt Orthogonalization Process Has Been Added In Chapter 7 And Is Used In Subsequent Chapters. O All Figures Now Have Explanatory Captions. Supplements O Complete Instructor'S Solutions: Includes All Solutions To The Exercises Found In The Text. Powerpoint Lecture Slides And Additional Instructor'S Resources Are Available Online. O Student Solutions To Accompany Advanced Engineering Mathematics, Third Edition: This Student Supplement Contains The Answers To Every Third Problem In The Textbook, Allowing Students To Assess Their Progress And Review Key Ideas And Concepts Discussed Throughout The Text. ISBN: 0-7637-4095-0 |
can an overdetermined system have a unique solution: Algorithms for Continuous Optimization Emilio Goiuseppe Spedicato, 1994-05-31 The NATO Advanced Study Institute on Algorithms for continuous optimiza tion: the state of the art was held September 5-18, 1993, at II Ciocco, Barga, Italy. It was attended by 75 students (among them many well known specialists in optimiza tion) from the following countries: Belgium, Brasil, Canada, China, Czech Republic, France, Germany, Greece, Hungary, Italy, Poland, Portugal, Rumania, Spain, Turkey, UK, USA, Venezuela. The lectures were given by 17 well known specialists in the field, from Brasil, China, Germany, Italy, Portugal, Russia, Sweden, UK, USA. Solving continuous optimization problems is a fundamental task in computational mathematics for applications in areas of engineering, economics, chemistry, biology and so on. Most real problems are nonlinear and can be of quite large size. Devel oping efficient algorithms for continuous optimization has been an important field of research in the last 30 years, with much additional impetus provided in the last decade by the availability of very fast and parallel computers. Techniques, like the simplex method, that were already considered fully developed thirty years ago have been thoroughly revised and enormously improved. The aim of this ASI was to present the state of the art in this field. While not all important aspects could be covered in the fifty hours of lectures (for instance multiob jective optimization had to be skipped), we believe that most important topics were presented, many of them by scientists who greatly contributed to their development. |
can an overdetermined system have a unique solution: Algorithms and Protocols for Wireless Sensor Networks Azzedine Boukerche, 2008-11-03 A one-stop resource for the use of algorithms and protocols in wireless sensor networks From an established international researcher in the field, this edited volume provides readers with comprehensive coverage of the fundamental algorithms and protocols for wireless sensor networks. It identifies the research that needs to be conducted on a number of levels to design and assess the deployment of wireless sensor networks, and provides an in-depth analysis of the development of the next generation of heterogeneous wireless sensor networks. Divided into nineteen succinct chapters, the book covers: mobility management and resource allocation algorithms; communication models; energy and power consumption algorithms; performance modeling and simulation; authentication and reputation mechanisms; algorithms for wireless sensor and mesh networks; and algorithm methods for pervasive and ubiquitous computing; among other topics. Complete with a set of challenging exercises, this book is a valuable resource for electrical engineers, computer engineers, network engineers, and computer science specialists. Useful for instructors and students alike, Algorithms and Protocols for Wireless Sensor Networks is an ideal textbook for advanced undergraduate and graduate courses in computer science, electrical engineering,and network engineering. |
can an overdetermined system have a unique solution: Optimization H. Ronald Miller, 2011-03-29 A thorough and highly accessible resource for analysts in a broadrange of social sciences. Optimization: Foundations and Applications presents a series ofapproaches to the challenges faced by analysts who must find thebest way to accomplish particular objectives, usually with theadded complication of constraints on the available choices.Award-winning educator Ronald E. Miller provides detailed coverageof both classical, calculus-based approaches and newer,computer-based iterative methods. Dr. Miller lays a solid foundation for both linear and nonlinearmodels and quickly moves on to discuss applications, includingiterative methods for root-finding and for unconstrainedmaximization, approaches to the inequality constrained linearprogramming problem, and the complexities of inequality constrainedmaximization and minimization in nonlinear problems. Otherimportant features include: More than 200 geometric interpretations of algebraic results,emphasizing the intuitive appeal of mathematics Classic results mixed with modern numerical methods to aidusers of computer programs Extensive appendices containing mathematical details importantfor a thorough understanding of the topic With special emphasis on questions most frequently asked by thoseencountering this material for the first time, Optimization:Foundations and Applications is an extremely useful resource forprofessionals in such areas as mathematics, engineering, economicsand business, regional science, geography, sociology, politicalscience, management and decision sciences, public policy analysis,and numerous other social sciences. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available upon request from the Wileyeditorial department. |
can an overdetermined system have a unique solution: Algorithms with JULIA Clemens Heitzinger, 2022-12-12 This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on machine learning (artificial neural networks and Bayesian estimation). JULIA is a relatively new programming language which has been developed with scientific and technical computing in mind. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system. Aimed at students of applied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming. |
can an overdetermined system have a unique solution: A Factor Model Approach to Derivative Pricing James A. Primbs, 2016-12-19 Written in a highly accessible style, A Factor Model Approach to Derivative Pricing lays a clear and structured foundation for the pricing of derivative securities based upon simple factor model related absence of arbitrage ideas. This unique and unifying approach provides for a broad treatment of topics and models, including equity, interest-rate, and credit derivatives, as well as hedging and tree-based computational methods, but without reliance on the heavy prerequisites that often accompany such topics. Key features A single fundamental absence of arbitrage relationship based on factor models is used to motivate all the results in the book A structured three-step procedure is used to guide the derivation of absence of arbitrage equations and illuminate core underlying concepts Brownian motion and Poisson process driven models are treated together, allowing for a broad and cohesive presentation of topics The final chapter provides a new approach to risk neutral pricing that introduces the topic as a seamless and natural extension of the factor model approach Whether being used as text for an intermediate level course in derivatives, or by researchers and practitioners who are seeking a better understanding of the fundamental ideas that underlie derivative pricing, readers will appreciate the book’s ability to unify many disparate topics and models under a single conceptual theme. James A Primbs is an Associate Professor of Finance at the Mihaylo College of Business and Economics at California State University, Fullerton. |
can an overdetermined system have a unique solution: Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology Paola Lecca, Ian Laurenzi, Ferenc Jordan, 2013-04-09 Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics. Introduces mathematical concepts and formalisms of deterministic and stochastic modelling through clear and simple examples Presents recently developed discrete stochastic formalisms for modelling biological systems and processes Describes and applies stochastic simulation algorithms to implement a stochastic formulation of biochemical and biological kinetics |
1 Review of Least Squares Solutions to Overdetermined Systems
Recall that in the last lecture we discussed the solution of overdetermined linear systems using the least squares method. Recall that an … See more
Lecture 2i Overdetermined Systems (pages 345-346)
overdetermined system. De nition: An overdetermined system of linear equations is a system that has more equations than variables. These systems do sometimes have solutions, but that …
1 Least squares and minimal norm problems - Department of …
Oct 18, 2019 · For the majority of this lecture, we will focus on the minimum-norm solution to overdetermined problems and its role in kernel methods.
Introduction to Overdetermined Systems - Springer
a bit of history of overdetermined systems may be useful. To solve Eq. (4.1) at the very least m must equal n, which gives a unique solution. If m > n and the equations are consistent, we can …
Lab 3 Prelab: Solving over-determined systems using …
As long as the equations are independent, you can find a unique solution. In an over-determined system you have more data than needed to determine a unique solution. There may not be an …
Can An Overdetermined System Have A Unique Solution (PDF)
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Underdetermined and Overdetermined Linear Algebraic Systems
A system of two Equations and two unknowns may yield a unique solution. The exception is when the determinant of A is equal to zero. Then the system is said to be singular. The left division …
Overdetermined PDEs1 - University of Cambridge
• What data is sufficient to determine a unique solution? • How to construct solutions? These are all local questions, i.e. we are only interested in a solution in a small neighbourhood
Orthogonal Projections and Overdetermined Linear Systems
Let’s say you want to solve the overdetermined system. This is an overdetermined system of 6 equations in 1 variable. Write as matrix equation: Solution is the mean of the values! and solve …
2.2 Overdetermined and Underdetermined Systems
When there are fewer equations than unknowns there will be no hope of a unique solution - there will either be no solution or infinitely many solutions. Usually there will be infinitely many …
Structure of the least square solutions to overdetermined
In the main theorem, we prove that if an overdetermined system with no solution is deformed into a system of linear equations by the semi-equivalent deformations defined in this paper, then …
Can An Overdetermined System Have A Unique Solution
can an overdetermined system have a unique solution: Mathematical Geosciences Joseph L. Awange, Béla Paláncz, Robert H. Lewis, Lajos Völgyesi, 2018-01-29 This book showcases …
Optimal Solution Properties of an Overdetermined System of …
Many problems can be presented as an overdetermined system of linear equations such as the problem of determinating linear models for tting experimental data. It is intended to help …
Can An Overdetermined System Have A Unique Solution
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Can An Overdetermined System Have A Unique Solution …
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Chapter 3 Overdetermined and Underdetermined Systems
consider the solution of an overdetermined system to be the minimum of the sum of the squares of the errors, while in the case of an underdetermined system, we look for the solution having …
Can An Overdetermined System Have A Unique Solution
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Can An Overdetermined System Have A Unique Solution
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Can An Overdetermined System Have A Unique Solution Copy
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
1 Review of Least Squares Solutions to Overdetermined …
The solution can be found as follows. Step 1. Assume that we can write the solution as x = A0t for some vector t of m unknowns. Write the system in terms of t as: A(A0t) = b Step 2. Change …
Lecture 2i Overdetermined Systems (pages 345-346)
overdetermined system. De nition: An overdetermined system of linear equations is a system that has more equations than variables. These systems do sometimes have solutions, but that …
1 Least squares and minimal norm problems - Department of …
Oct 18, 2019 · For the majority of this lecture, we will focus on the minimum-norm solution to overdetermined problems and its role in kernel methods.
Introduction to Overdetermined Systems - Springer
a bit of history of overdetermined systems may be useful. To solve Eq. (4.1) at the very least m must equal n, which gives a unique solution. If m > n and the equations are consistent, we can …
Lab 3 Prelab: Solving over-determined systems using …
As long as the equations are independent, you can find a unique solution. In an over-determined system you have more data than needed to determine a unique solution. There may not be an …
Can An Overdetermined System Have A Unique Solution (PDF)
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Underdetermined and Overdetermined Linear Algebraic …
A system of two Equations and two unknowns may yield a unique solution. The exception is when the determinant of A is equal to zero. Then the system is said to be singular. The left division …
Overdetermined PDEs1 - University of Cambridge
• What data is sufficient to determine a unique solution? • How to construct solutions? These are all local questions, i.e. we are only interested in a solution in a small neighbourhood
Orthogonal Projections and Overdetermined Linear Systems
Let’s say you want to solve the overdetermined system. This is an overdetermined system of 6 equations in 1 variable. Write as matrix equation: Solution is the mean of the values! and solve …
2.2 Overdetermined and Underdetermined Systems
When there are fewer equations than unknowns there will be no hope of a unique solution - there will either be no solution or infinitely many solutions. Usually there will be infinitely many …
Structure of the least square solutions to overdetermined
In the main theorem, we prove that if an overdetermined system with no solution is deformed into a system of linear equations by the semi-equivalent deformations defined in this paper, then …
Can An Overdetermined System Have A Unique Solution
can an overdetermined system have a unique solution: Mathematical Geosciences Joseph L. Awange, Béla Paláncz, Robert H. Lewis, Lajos Völgyesi, 2018-01-29 This book showcases …
Optimal Solution Properties of an Overdetermined System of …
Many problems can be presented as an overdetermined system of linear equations such as the problem of determinating linear models for tting experimental data. It is intended to help …
Can An Overdetermined System Have A Unique Solution
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Can An Overdetermined System Have A Unique Solution …
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Chapter 3 Overdetermined and Underdetermined Systems
consider the solution of an overdetermined system to be the minimum of the sum of the squares of the errors, while in the case of an underdetermined system, we look for the solution having …
Can An Overdetermined System Have A Unique Solution
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Can An Overdetermined System Have A Unique Solution
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …
Can An Overdetermined System Have A Unique Solution Copy
Can An Overdetermined System Have A Unique Solution: Sparse Solutions of Underdetermined Linear Systems and Their Applications Ming-Jun Lai ,Yang Wang,2021-06-25 This textbook …