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鄂尔多斯盆地奥陶系中组合的成烃成藏信息分析与模式识别

石油勘探信息处理

包括1900页的机器学习基础资料，内容包括线性代数、矩阵理论、线性优化、非线性优化、张量代数、微积分、等机器学习的基础材料。

On-Writing-Well-30th-Anniversary-Edition-The-Classic-Guide-to-Writing-Nonfiction

囊括了BEGINNING VISUAL C#2015Programming一书的所有随书代码和错误勘正表。内含26章节的所有压缩包原程序。

微软C#入门最佳教材，详细解释了在MicroSoft Visual Studio 2015上开发基于.NET的C sharp 程序的语言和方法。对C#和.NET的人门学者来说，是难得的参考书！

用visual studio 2015 开发网页的强大指导书:Pro Html. 作者是大名鼎鼎的Mark J.Collins.

TOPICS Chapters 1-6 provide coverage of applied linear algebra sufficient for reading the remainder of the book. Chapter 1: Matrices The chapter introduces matrix arithmetic and the very important topic of linear transformations. Rotation matrices provide an interesting and useful example of linear transformations. After discussing matrix powers, the concept of the matrix inverse and transpose concludes the chapter. Chapter 2: Linear Equations This chapter introduces Gaussian elimination for the solution of linear systems Ax = b and for the computation of the matrix inverse. The chapter also introduces the relationship between the matrix inverse and the solution to a linear homogeneous equation. Two applications involving a truss and an electrical circuit conclude the chapter. Chapter 3: Subspaces This chapter is, by its very nature, somewhat abstract. It introduces the concepts of subspaces, linear independence, basis, matrix rank, range, and null space. Although the chapter may challenge some readers, the concepts are essential for understanding many topics in the book, and it should be covered thoroughly. Chapter 4: Determinants Although the determinant is rarely computed in practice, it is often used in proofs of important results. The chapter introduces the determinant and its computation using expansion byminors and by rowelimination. The chapter ends with an interesting application of the determinant to text encryption. Chapter 5: Eigenvalues and Eigenvectors This is a very important chapter, and its results are used throughout the book. After defining the eigenvalue and an associated eigenvector, the chapter develops some of their most important properties, including their use in matrix diagonalization. The chapter concludes with an application to the solution of systems of ordinary differential equations and the problem of ranking items using eigenvectors. Chapter 6: Orthogonal Vectors and Matrices This chapter introduces the inner product and its associati

如果你想深入学习研究c++标准库的详细信息，请不要放过这个文档

每天学习一个小时，轻松掌握C++； c++的经典书籍，绝对原版。

Matlab 中文帮助手册，最新版本，涵盖了matlab最新各部分的详细帮助资料。