Guoxiang Gu, "Discrete-Time Linear Systems: Theory and Design with Applications"
466 pages | English | ISBN: 1461422809 | 2012 | PDF | 4 MB
Discrete-Time Linear Systems: Theory and Design with Applications combines system theory and design in order to show the importance of system theory and its role in system design. The book focuses on system theory (including optimal state feedback and optimal state estimation) and system design (with applications to feedback control systems and wireless transceivers, plus system identification and channel estimation).
Linear Referencing in ArcGIS: ArcGIS 9 /by ESRI Press. Linear referencing in the ESRI(R) ArcGIS(TM) Desktop products-- ArcInfo(TM), ArcEditor(TM), and ArcView(R) --enables users to create, manage, display, query, and analyze data whose relative position has been modeled along a linear feature. Linear referencing in ArcView allows users to display and query route and event data.
M. S. Bazaraa, "Linear Programming and Network Flows, 4th edition"
768 pages | Wi--y | 2009 | ISBN: 0470462728 | PDF | 8,3 MB
The authoritative guide to modeling and solving complex problems with linear programming—extensively revised, expanded, and updated
The only book to treat both linear programming techniques and network flows under one cover, Linear Programming and Network Flows, Fourth Edition has been completely updated with the latest developments on the topic. This new edition continues to successfully emphasize modeling concepts, the design and analysis of algorithms, and implementation strategies for problems in a variety of fields, including industrial engineering, management science, operations research, computer science, and mathematics.
Generalized Linear Models: with Applications in Engineering and the Sciences By Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson
496 Pages | Publisher: Wi]le[y; 2 edition 2010 | ISBN: 0470454636 | PDF | 28 MB
Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the latest developments, relevant computational approaches, and modern examples from the fields of engineering and physical sciences.
R.B. Bapat, "Linear Algebra and Linear Models, 3rd Edition"
175 pages | Publisher: S..in..r | 2012 | ISBN: 1447127382 | PDF | 3 MB
Linear Algebra and Linear Models comprises a concise and rigorous introduction to linear algebra required for statistics followed by the basic aspects of the theory of linear estimation and hypothesis testing. The emphasis is on the approach using generalized inverses.
Linear Algebra and Its Applications (4th Edition) (FSN,FSV)
Ad dison We sley | 2011 | ISBN: 0321385179 | 576 pages | PDF | 133 MB
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.
Linear Dependence: Theory and Computation
204 pages | Publisher: Springer (September 30, 2000) | ISBN: 0306464284 | PDF | 5.1 Mb
Deals with the most basic notion of linear algebra, to bring emphasis on approaches to the topic serving at the elementary level and more broadly. A typical feature is where computational algorithms and theoretical proofs are brought together. Another is respect for symmetry, so that when this has some part in the form of a matter it should also be reflected in the treatment. Issues relating to computational method are covered.
Contemporary Linear Algebra
English | 656 pages | ISBN-10: 0471163627 | PDF | 297.62 MB
by Howard Anton, Robert C. Busby + Solution Manual
From one of the premier authors in higher education comes a new linear algebra textbook that fosters mathematical thinking, problem-solving abilities, and exposure to real-world applications.
Contemporary Linear Algebra by Howard Anton, Robert C. Busby + Solution Manual
English | 656 pages | ISBN-10: 0471163627 | PDF | 297.62 MB
From one of the premier authors in higher education comes a new linear algebra textbook that fosters mathematical thinking, problem-solving abilities, and exposure to real-world applications. Without sacrificing mathematical precision, Anton and Busby focus on the aspects of linear algebra that are most likely to have practical value to the student while not compromising the intrinsic mathematical form of the subject. Throughout Contemporary Linear Algebra, students are encouraged to look at ideas and problems from multiple points of view.
Introduction to Linear Algebra by James DeFranza, Daniel Gagliardi
M,,,gH | 2008 | ISBN: 0073532355 | 416 pages | PDF | 5,7 MB
Linear Algebra with Applications is an introductory text targeted to second or advanced first year undergraduates in engineering or mathematics. The organization of this text is motivated by the authors' experience which tells them what essential concepts should be mastered by students in a one semester undergraduate Linear Algebra course.
An Introduction to Linear Programming and Game Theory, 3 edition by Paul R. Thie, Gerard E. Keough
W..ey-Int..nce | 2008 | ISBN: 0470232862 | 480 pages | PDF | 14,6 MB
An Introduction to Linear Programming and Game Theory, Third Edition presents a rigorous, yet accessible, introduction to the theoretical concepts and computational techniques of linear programming and game theory. Now with more extensive modeling exercises and detailed integer programming examples, this book uniquely illustrates how mathematics can be used in real-world applications in the social, life, and managerial sciences, providing readers with the opportunity to develop and apply their analytical abilities when solving realistic problems.
Ultra-high Frequency Linear Fiber Optic Systems by Kam Lau
S inger | 2011 | ISBN: 3642164579 | 280 pages | PDF | 2,8 MB
This book provides an in-depth treatment of both linear fiber-optic systems and their key enabling devices. It presents a concise but rigorous treatment of the theory and practice of analog (linear) fiber-optics links and systems that constitute the foundation of Hybrid Fiber Coax infrastructure in present-day CATV distribution and cable modem Internet access.
Linear Models for Optimal Test Design
416 pages | Sep 22 2010 |ISBN:0387202722 | PDF | 5.5 Mb
This book begins with a reflection on the history of test design - the core activity of all educational and psychological testing. It then presents a standard language for modeling test design problems as instances of multi-objective constrained optimization. The main portion of the book discusses test design models for a large variety of problems from the daily practice of testing, and illustrates their use with the help of numerous empirical examples. The presentation includes models for the assembly of tests to an absolute or relative target for their information functions, classical test assembly,
Matrix Methods, Third Edition: Applied Linear Algebra by Richard Bronson
Ac emic Pre ss | 2008 | ISBN: 012374427X | 432 pages | PDF | 2,1 MB
Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems.
