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33 results for "vector space"
Space Hoax By Paul Gillebaard
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What if the most expensive and ambitious structure ever assembled, the International Space Station, was threatened. CIA agent and former NASA candidate Peter Novak, son of a U.S. moonwalker, is... More > safely back on Earth, ready to settle down and begin a family. But the Chinese will not soon forget how he spoiled their plans for space race glory—they want revenge on America for losing face. A commercial space corporation in America is the unwitting vector of a deeply-rooted plot by the Chinese to sabotage forty years of hard work and multinational cooperation. Shortly after his celebrated trip to the moon and back, Peter rockets into orbit on a harrowing rescue mission. Cosmonauts are trapped aboard a crippled ship, and the International Space Station is in danger. Peter must risk his life to save the stranded space men, once more flying by the seat of his pants—he has a 1970s Skylab spacesuit and a flashlight against sophisticated incendiary devices.< Less
MATHEMATICS: GCSE: Shape, Space, Statistics and Probability By Rosaline O'Toole
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MATHEMATICS: GCSE: Shape, Space, Statistics and Probability (164 pages) provides a detailed study of shapes, their properties and measurement, statistics and probability . The book contains a wealth... More > of worked examples and exercises accompanied by worked answers. The content material is appropriate for study from GCSE level (and upwards) in mathematics and statistics.< Less
A Quick Guide to Computing Eigenvalues and Eigenvectors By Bruce Cooperstein
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Eigenvalues and eigenvectors of matrices and linear operators are fundamental in mathematics. This short booklet is intended to be a self-contained treatment of how to determine the eigenvalues and... More > eigenvectors of a square matrix with real entries. It also includes a treatment on diagonalization: how to determine if a square matrix is similar to a diagonal matrix and how to find a diagonalizing matrix. It includes all the necessary background material and algorithms for computing the characteristic polynomial, eigenvalues and eigenspaces of a square matrix: how to solve linear systems using matrices, how to find a basis for the null space of a matrix, how to invert a matrix and how to compute a determinant. In the interest of making it entirely self-contained each section begins with a review of the relevant definitions.< Less
A Quick Guide to Computing Eigenvalues and Eigenvectors By Bruce Cooperstein
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Eigenvalues and eigenvectors of matrices and linear operators are fundamental in mathematics. This short booklet is intended to be a self-contained treatment of how to determine the eigenvalues and... More > eigenvectors of a square matrix with real entries. It also includes a treatment on diagonalization: how to determine if a square matrix is similar to a diagonal matrix and how to find a diagonalizing matrix. It includes all the necessary background material and algorithms for computing the characteristic polynomial, eigenvalues and eigenspaces of a square matrix: how to solve linear systems using matrices, how to find a basis for the null space of a matrix, how to invert a matrix and how to compute a determinant. In the interest of making it entirely self-contained each section begins with a review of the relevant definitions.< Less
Linear Algebra By Jim Hefferon
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Linear Algebra by Jim Hefferon is released under the GNU Free Documentation license. Electronic copies may be downloaded for free. Hardcover copies are available for the cost of manufacturing (the... More > publisher receives no additional revenue). The book covers the material of a first undergraduate Linear Algebra course. The coverage is standard: linear systems and Gauss' method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues. Prerequisites: a semester of calculus. Students with three semesters of calculus can skip a few sections. The approach is developmental. It does not start with an assumption that students are already able at abstract work. Instead, it proceeds with a great deal of motivation, many computational examples, and exercises that range from routine verifications to (a few) challenges. The goal is, in the context of developing the usual material of an undergraduate linear algebra course, to help raise the level of mathematical maturity of the class.< Less
Linear Algebra By Jim Hefferon
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Linear Algebra by Jim Hefferon is released under the GNU Free Documentation license. Electronic copies may be downloaded for free. Hardcover copies are available for the cost of manufacturing (the... More > publisher receives no additional revenue). The book covers the material of a first undergraduate Linear Algebra course. The coverage is standard: linear systems and Gauss' method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues. Prerequisites: a semester of calculus. Students with three semesters of calculus can skip a few sections. The approach is developmental. It does not start with an assumption that students are already able at abstract work. Instead, it proceeds with a great deal of motivation, many computational examples, and exercises that range from routine verifications to (a few) challenges. The goal is, in the context of developing the usual material of an undergraduate linear algebra course, to help raise the level of mathematical maturity of the class.< Less
Linear Algebra, Student Solutions Manual By Jim Hefferon
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Answers to exercises presented in Linear Algebra by Jim Hefferon. This book is released under the GNU Free Documentation license. Electronic copies may be downloaded for free. Paperback copies are... More > available for the cost of manufacturing (the publisher receives no additional revenue).< Less
Linear Algebra, Student Solutions Manual By Jim Hefferon
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Answers to exercises presented in Linear Algebra by Jim Hefferon. This book is released under the GNU Free Documentation license. Electronic copies may be downloaded for free. Paperback copies are... More > available for the cost of manufacturing (the publisher receives no additional revenue).< Less
Applied Discrete Structures - Part 2- Algebraic Structures By Ken Levasseur, Al Doerr
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Applied Discrete Structures, Part II - Algebraic Structures, is an introduction to groups, monoids, vector spaces, lattices, boolean algebras, rings and fields. It corresponds with the content of... More > Discrete Structures II at UMass Lowell, which is a required course for students in Computer Science. It presumes background contained in Part I - Fundamentals, which is the content of Discrete Structures I at UMass Lowell. Applied Discrete Structures has been approved by the American Institute of Mathematics as part of their Open Textbook Initiative. For more information on open textbooks, visit http://www.aimath.org/textbooks/.< Less
Linear Algebra I - Summaries of Theory and Exercises Solved By Mercedes Orús Lacort
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Linear Algebra I is a book for university students of any university branch of science. You will find summaries of theory and exercises solved, of the following topics: Matrices, Resolution of Linear... More > Systems Equations, Vector Spaces, Linear Transformations, Diagonalization of endomorphism, and Bilinear and Quadratic Forms. I have 20 years of experience teaching mathematics at the university level. And, as a teacher of Algebra, Calculus, Statistics, etc., of university students, and, as a result of the needs that I have seen in my students, I have written this book. This book is characterized by being practical and didactic. It is also useful as a guide for the student. I hope it will be useful to you, above all.< Less