Linear Algebra and its Applications
David, Lay.
Linear Algebra and its Applications - 3rd Ed - New Delhi Pearson, 2009 - 576 p. 7.99 x 10 inches
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. Lay introduces these concepts early in a familiar, concrete R n setting, develops them gradually, and returns to them again and again throughout the text. Finally, when discussed in the abstract, these concepts are more accessible.
Including with index
9788177583335 (paperback)
Linear Equations in Linear Algebra. Matrix Algebra. Determinants. Vector Spaces. Eigenvalues and Eigenvectors. Orthogonality and Least-Squares. Symmetric Matrices and Quadratic Forms
512.5 / LAY
Linear Algebra and its Applications - 3rd Ed - New Delhi Pearson, 2009 - 576 p. 7.99 x 10 inches
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. Lay introduces these concepts early in a familiar, concrete R n setting, develops them gradually, and returns to them again and again throughout the text. Finally, when discussed in the abstract, these concepts are more accessible.
Including with index
9788177583335 (paperback)
Linear Equations in Linear Algebra. Matrix Algebra. Determinants. Vector Spaces. Eigenvalues and Eigenvectors. Orthogonality and Least-Squares. Symmetric Matrices and Quadratic Forms
512.5 / LAY