fi100

说明：  地球处理多边体的重磁异常的正演，主要是地球数据处理的课程的实验项目2(The forward modeling of gravity and magnetic anomalies in the earth s processing of the multilateral body is mainly the experimental project of the earth data processing course 2)

计算低速气动力的涡格法程序，来自NASA，可信度高(This is a vortex lattice aerodynamic program from the low speed aerodynamics group at NASA Langley)

Hilbert Haung spectrum

说明：  通过MATLAB编程模拟理想弹塑性应力应变曲线(Simulating the stress-strain curve for perfect plasticity by MATLAB coding.)

说明：  fluent中udf的实例 计算曳力的例程 可以作为参考以及udf帮助手册(The example of UDF in fluent can be used as a reference to calculate the traction)

C语言实现大数的加法减法以及乘法,水平限于仅仅大学生水平学习使用。(Use C language to achieve that addition, subtraction, and multiplication of a big intger.)

说明：  一帧语音+CS(MP,BP OMP)重构算法包括读取分帧重构计算 误差分析(A voice+CS (MP, BP OMP) reconstruction algorithm consists of reading framing error analysis reconfigurable computing)

说明：  给定求解区间，用最小二乘法给出函数的零点，并给出迭代次数(Given the solution interval, the zeros of the function are given by the least square method, and the number of iterations is given.)

《数值分析方法库_第三版 》本书选材内容丰富，包括了当代科学计算过程中涉及的大量内容：求特殊函数值、随机数、排序、最优化、快速傅里叶变换、谱分析、小波变换、统计描述和数据建模、偏微分议程数值解、若乾编码算法和任意精度计算等。本书科学性和实用性统一，不仅对每种算法进行了数学分析和比较，而且根据作者经验对算法给出了评论和建议，并在此基础上提供了用C++语言编写的实用程序。 (《Numerical Recipes 3rd Edition: The Art of Scientific Computing》, Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and)

说明：  ADAM （Adaptive Moment Estimation）是另外一种自适应学习率算法，它结合动量梯度 下降法，在不同参数方向上采用不同学习率，保留前几次迭代的梯度，能够很好 的适应于稀疏数据。(ADAM (Adaptive Moment Estimation) is another adaptive learning rate algorithm, which combines momentum gradient. The descent method, which uses different learning rates in different parameter directions and retains the gradients of previous iterations, is very good. It is suitable for sparse data.)