sphinx4-1.0beta6-src

基于二阶锥规划的旁瓣抑制滤波器的设计仿真，其中包括m序列，失配滤波器设计，并且考虑增益处理损失。(Based on SOCP sidelobe suppression filter design simulation, including m-sequence mismatch filter design, and to consider the loss of gain processing.)

基于凸优化算法的矩阵填充稀疏矩阵理论的Matlab实现。(Based on convex optimization algorithm of matrix fill sparse matrix theory Matlab achieve.)

在visual studio的平台上开发CUDA程序实现并行加速计算矩阵的乘积，同时比较与串行计算的差异(Differences in the development of procedures to achieve parallel CUDA accelerated computing matrices in visual studio platform, but compared with the serial computing)

linearized bregman 用于压缩感知中的稀疏信号恢复(linearized bregman)

线弹性模型，可以对一般的弹性体通过abaqus进行验证使用(Linear elastic model)

求解最短路算法，，， 赋路径初值 更新 显示迭代步数 显示每步迭代后(solve the lest distance)

说明：  输入任意数学四则运算表达式可以得出结果,很方便很实用的一个程序的源代码。(you can get the answer.)

计算正交各向异性材料（如木材，复合材料等）的弹塑性本构(The elastoplastic constitutive relation of orthotropic materials is calculated)

利用龙格库塔法（等步长，变步长）计算椭圆方程，双曲线方程，抛物线方程等。对各类微分方程进行数值计算。(The use of Runge-Kutta method (such as step, variable step size) calculated elliptic equations, hyperbolic equations, such as parabolic equation. Various types of differential equations for numerical calculation.)

非线性方程数值解法的数学基础，有牛顿法，割线法等(Mathematical foundations of numerical solution of nonlinear equations, Newton method, secant method)