2022考研数学一复习资料（自己整理）

Linear Algebra with Applications by Leon Steven

程序员的数学； 程序员的数学 2 概率统计 ,平冈和幸，（日）堀玄著 ,P406 程序员的数学 3 线性代数 ,平冈和幸，堀玄著

中文翻译Introduction to Linear Algebra, 5th Edition 6.5节　仅用于交流学习！

Elementary Linear Algebra, 8th Edition by Ron Larson | 467 pages Table of Contents 1. SYSTEMS OF LINEAR EQUATIONS. Introduction to Systems of Equations. Gaussian Elimination and Gauss-Jordan Elimination. Applications of Systems of Linear Equations. 2. MATRICES. Operations with Matrices. Properties of Matrix Operations. The Inverse of a Matrix. Elementary Matrices. Markov Chains. Applications of Matrix Operations. 3. DETERMINANTS. The Determinant of a Matrix. Evaluation of a Determinant Using Elementary Operations. Properties of Determinants. Applications of Determinants. 4. VECTOR SPACES. Vectors in Rn. Vector Spaces. Subspaces of Vector Spaces. Spanning Sets and Linear Independence. Basis and Dimension. Rank of a Matrix and Systems of Linear Equations. Coordinates and Change of Basis. Applications of Vector Spaces. 5. INNER PRODUCT SPACES. Length and Dot Product in Rn. Inner Product Spaces. Orthogonal Bases: Gram-Schmidt Process. Mathematical Models and Least Squares Analysis. Applications of Inner Product Spaces. 6. LINEAR TRANSFORMATIONS. Introduction to Linear Transformations. The Kernel and Range of a Linear Transformation. Matrices for Linear Transformations. Transition Matrices and Similarity. Applications of Linear Transformations. 7. EIGENVALUES AND EIGENVECTORS. Eigenvalues and Eigenvectors. Diagonalization. Symmetric Matrices and Orthogonal Diagonalization. Applications of Eigenvalues and Eigenvectors. 8. COMPLEX VECTOR SPACES (online). Complex Numbers. Conjugates and Division of Complex Numbers. Polar Form and Demoivre’s Theorem. Complex Vector Spaces and Inner Products. Unitary and Hermitian Spaces. 9. LINEAR PROGRAMMING (online). Systems of Linear Inequalities. Linear Programming Involving Two Variables. The Simplex Method: Maximization. The Simplex Method: Minimization. The Simplex Method: Mixed Constraints. 10. NUMERICAL METHODS (online). Gaussian Elimination with Partial Pivoting. Iterative Methods for Solving Linear Systems. Power Method for Approximating Eigenvalues. Applications of Numerical Methods.

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大学中大二数学中的线性代数第四版课后习题答案·~方便大家课后参考与借鉴

在设计4*4矩阵键盘基础上，完成两个数的加、减、乘、除运算，结果通过数码管或液晶显示。

南开大学 高等代数考研题00-10年的，还有部分答案

总结离散数学各个分支的相关概念和公式定理，总结离散数学各个分支的相关概念和公式定理，总结离散数学各个分支的相关概念和公式定理，总结离散数学各个分支的相关概念和公式定理，