数值计算经典教材（含各种经典方法的MATLAB实现，建议自己实现后再与教材比对），简单易懂

作者: William H. Press / Brian P. Flannery / Saul A. Teukolsky / William T. Vetterling 本书编写了300多个实用而有效的数值算法C语言程序。其内容包括：线性方程组的求解，逆矩阵和行列式计算，多项式和有理函数的内插与外推，函数的积分和估值，特殊函数的数值计算，随机数的产生，非线性方程求解，傅里叶变换和FFT，谱分析和小波变换，统计描述和数据建模，常微分方程和偏微分方程求解，线性预测和线性预测编码，数字滤波，格雷码和算术码等。全书内容丰富，层次分明，是一本不可多得的有关数值计算的C语言程序大全。本书每章中都论述了有关专题的数学分析、算法的讨论与比较，以及算法实施的技巧，并给出了标准C语言实用程序。这些程序可在不同计算机的C语言编程环境下运行。 本书可作为从事科学计算的科技工作者的工具书，计算机软件开发者的参考书，也可以作为大学本科生和研究生的参考书或教材。

Numerical Methods with MATLAB(NMM1[1].5计算方法工具箱).matlab的nmm工具箱，相信很多人都找过哦，Numerical Methods with MATLAB是一本很好很好的matlab入门书，就不用资源分了

最新版Volume 1, Charles Hirsch, CFD经典

NUMERICAL OPTIMIZATION presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. Drawing on their experiences in teaching, research, and consulting, the authors have produced a textbook that will be of interest to students and practitioners alike. Each chapter begins with the basic concepts and builds up gradually to the best techniques currently available. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the area. Above all, the authors have strived to produce a text that is pleasant to read, informative and rigorous--one that reveals both the beautiful nature of the discipline and its practical side.

全面的shl测试题 全面的shl测试题（numerical 和verbal）

SHL试题及攻略：逻辑（Logical Reasoning），数学（Numerical Reasoning），阅读（Verbal Reasoning）

《Numerical Optimization 2nd》--Jorge Nocedal Stephen J. Wright 数值优化对于最优化问题提供了一种迭代算法思路，通过迭代逐渐接近最优解，分别对无约束最优化问题和带约束最优化问题进行求解

We have developed this material for a sequence of courses on the theory and application of numerical approximation techniques. The text is designed primarily for junior-level mathematics, science, and engineering majors who have completed at least the first year of the standard college calculus sequence. Familiarity with the fundamentals of matrix algebra and differential equations is also useful, but adequate introductory material on these topics is presented in the text so that those courses need not be prerequisites.

Sauer《数值分析》第二版，课后习题答案全本，pdf格式