integer-programming

seismic response analysis using wilson-θ method for MDOF structures

说明：  BPSK原理仿真，采用的是相干解调和非相干解调(BPSK principle simulation, using coherent detection and non-coherent demodulation)

说明：  电力负荷的混沌预测方法 电力负荷的方法很多~~本文是基于混沌(Chaos power load forecasting method)

电磁场经典算法模拟电荷法CSM求解步骤详解(Electromagnetic charge simulation method CSM classical algorithm for solving steps explain)

基于运动的视频前景分割实现方法，matlab代码(Prospects for the video based on motion segmentation method, matlab code)

通信原理实验中数字调制的二进制绝对相位调制(Communication theory of binary digital modulation experiments, the absolute phase modulation)

非线性规划中的最速下降法,黄金分割法,阻尼牛顿法,牛顿切线法.(Non-linear programming in the steepest descent method, golden section method, damping Newton s Law, Newton s tangent method.)

说明：  用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 (The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem)

EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Semicircle, Yule, Zeta,(EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions): Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Sem)

输入骰子个数和投掷的次数，程序将计算出一次投掷的点数和的概率分布(Enter the number of dice and throwing the number, the program will calculate the time throwing the probability distribution of points and)