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Duda《模式分类》第二版第1、3、5章部分课后习题和上机题的解答和程序代码(Duda pattern classification, the second edition of the first chapter 1,3,5 some after-school exercises and answers questions on the machine and program code)

说明：  MATLAB code forOrdinary differential equation

binary frequency shife keying amplitude modulation

说明：  整数规划分支定界算法matlab通用源程序 各参数的意义同matlab优化工具箱的线性规划函数linprog 调用前，输入参数要化成matlab的标准形式(Integer programming branch and bound algorithm matlab source general meaning of each parameter with the matlab optimization toolbox of linear programming linprog function call before the input parameters to the standard form into matlab)

Cross entropy for TSP problem matlab file

File 1: THIS CODE IS USED TO DRAW THE PUMP CURVES AT DIFFERENT PUMP SPEED 1: PUMP CURVE 2: EFFICIENCY CURVE 3: BREAK HORSEPOWER CURVE 4: KW-INPUT CURVE File 2: THIS CODE IS FOR APPLYING THE WAY OF CALCULATING THE EFFICIENCY, POWER AND KW-INPUT FOR VARIABLE SPEED PUMP AT A GIVEN DESIRED HEAD AND DESIRED FLOW AS SHOWN IN THE PAPER TITLED: " how to calculate the pump efficiency and power for variable speed pump" File 3: this code is to correct the use of affinity law by shifting the curve to intersect with the system-curve at the desired flow as shown in the paper titled: "The Correct Method of Calculating Energy Savings to Justify Adjustable-Frequency Drives on Pumps"

基于matlab的智能材料-记忆合金的应用，是个不错的源代码，具有一定的价值(Matlab-based smart materials- the application of shape memory alloy, is a good source code, has a certain value)

A DC to DC Boost Converter

一个遗传算法小例子，找到那个函数的最优解。(A small example of genetic algorithm to find the optimal solution of that function.)

用Cohen--Coon整定公式来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的KT τ 输入参量vars为带迟滞--惯性环节的K T ι，已知参数k=vars（1）；T=vars（2）；ι=vars（3）。(With Cohen- Coon tuning formula to seek P, PI, PID' s parameters, which Gc is the corrector transfer function, kp the proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model KT τ as input parameters vars with hysteresis- inertia of KT ι, the known parameters k = vars (1) T = vars (2) ι = vars (3).)