"One" mechanical principle course design robot figure (with engine and other things)

Look at this! ! There is something you need in it! ! !

Second, c++ curriculum design. Make the goods inventory management plan.

abstract

This paper expounds a complete inventory management information system in detail, and uses the structured method of system life cycle to complete the software development process. Through the actual investigation of inventory management, the complete business process of system analysis, system design and system implementation is defined. After analyzing the specific situation of inventory management, Microsoft Access database system is adopted as the background database of the inventory management system of materials (that is, goods, the same below). Because of the characteristics of Microsoft Visual C++ tool, it is beneficial to the development of the system, so it is decided to use it as the main development tool. The system has the functions of data entry, data modification, record query and report printing. Fully meet all the work of material inventory management. The system adopts the principle of modularization programming, which makes the module scale moderate and relatively independent. Modularity makes the program structure clear, easy to design and understand, and improves the reliability of the system.

This paper describes an inventory management business process in detail, analyzes its data flow, clarifies the relationship between data tables, and explains the main program logic in detail. And intuitive explanation in the form of charts, so that the program is easy to understand.

Keywords: inventory management, business process, software engineering, modularization principle

catalogue

abstract

order

1 Basic Problems of Inventory Information Management System

1. 1 Brief Introduction of Inventory Information Management System

1.2 manager's demand for inventory information management system

2 Selection of development environment

2. 1 development technology selection

2.2 the realization of relational database

2.3 the choice of database access technology

3 system analysis and outline design

3. 1 system analysis

3.2 System design

4 system introduction

5 database design

5. 1 Overview of data design

5.2 System Database Table

6 programming

6. 1 system main interface

6.2 Other interfaces of the system

7 concluding remarks

thank you

refer to

"Three" data structure curriculum design knapsack problem Kneel down! ! ! ! !

Greedy algorithm calculation: (you can refer to the following code)

# include & ltiostream.h & gt

Structure goodinfo

{

Floating p; //Commodity benefit

Floating w; //Project weight

Floating x; //Number of items to be placed.

Int mark; //Project number

}; //Project information structure

void insertion sort(good info goods[]，int n)

{

int j，I；

for(j = 2； j & lt= n； j++)

{

Commodity [0]= commodity [j];

I = j- 1；

While (commodity [0]. P> commodities [i]. p)

{

Commodity [I+ 1]= commodity [I];

I-；

}

Commodity [I+ 1]= commodity [0];

}

}//Arranged in ascending order according to the benefit and weight ratio of commodities.

void bag(goodinfo goods[]，float M，int n)

{

Floating copper;

int i，j；

for(I = 1； I < = n; i++)

Commodity [i]. x = 0；

Cu = M； //Remaining capacity of backpack

for(I = 1； I & ltn；; i++)

{

If (commodity [i]. W & gtCu)// When the remaining capacity of the item jumps out.

Break;

Commodity [i]. x = 1；

cu=cu-goods[i]。 w； //Determine the new remaining capacity of the backpack.

}

If (I < = n)

Commodity [i]. X = Cu/ goods [i]. w； //The quantity to be put into the project.

for(j = 2； j & lt= n； j++)

{

Commodity [0]= commodity [j];

I = j- 1；

While (commodity [0]. Mark & lt commodity [i]. Flag)

{

Commodity [I+ 1]= commodity [I];

I-；

}

Commodity [I+ 1]= commodity [0];

}

Cout & lt& lt "The best solution is:"

for(I = 1； I < = n; i++)

{

Cout & lt& lt "first"

Cout & lt& lt goods [i]. X & lt& ltendl

}

}

void main()

{

Cout & lt& lt" |-Solving the knapsack problem with greedy methods "

int j；

int n；

Floating m;

Goodinfo * goods; //define a pointer

while(j)

{

Cout & lt& lt "Please enter the total number of items:";

CIN & gt； & gtn；

goods = new struct good info[n+ 1]； //

Cout & lt& lt "Please enter the maximum capacity of the backpack:";

CIN & gt； & gtm；

cout & lt& ltendl

int I；

for(I = 1； I < = n; i++)

{commodity [i]. flag = I；

Cout & lt& lt "Please enter the first one"

CIN & gt； & gt commodity [i]. w；

Cout & lt& lt "Please enter the first one"

CIN & gt； & gt commodity [i]. p；

Commodity [i]. P = goods [i]. p/goods[i]。 w； //Get the profit and weight ratio of the goods.

cout & lt& ltendl

}

Insertion (commodity, n);

Bags (goods, m, n);

Cout & lt& lt "press & lt1> Run agian "< lt < endl.

Cout & lt& lt "Press & lt0> to exit"<& ltendl

CIN & gt； & gtj；

}

}

Students do curriculum design. What is high voltage switchgear? Is it just a cabinet or is there corresponding electrical equipment in it?

The first connection: 10KV high-voltage switchgear (XGN2- 12 fixed box switchgear), and the main components: circuit breaker (VS 1) disconnector (gn19);

Type 2: 10KV high-voltage switchgear (KYN28- 12 intermediate switchgear), with main components: circuit breaker (VS 1).

I'm talking about models and configurations commonly used by domestic manufacturers. In addition: If you need to know anything, you can ask me. I have been engaged in the switch industry 10 for many years.

"Wu" curriculum design is useless and fails.

1. the following legal identifiers are (C)A, B0 1B, table_ 1C, _0tD, kintt1w10point fast _ voidpblfast+bigabsfab * * eep2. In C language, character data is stored in memory in the form of (D)A, original code B, BCD code C, anti-code D, ASCII code 3 and the following statements. Grammar assignment statement is (C)A, a = 7+b+c = a+7; b、a = 7+b++ = a+7； c、a=7+b，b++，a+7； d、a = b+7 = c = a+7； 4. For statements: f = (3.0, 4.0, 5.0), (2.0, 1.0, 0.0); In the judgment of, the following options are correct: (C)A, grammatical errors B, F are 5.0C, F is 0.0D, and F is 2.05, so as to calculate s= 10! (that is, the factorial of 10), then the variable s should be defined as (C)A, intB, unsignedC, longD, and all three types can be 6. Assuming that X and Y are double precision types, the values of the expressions x=2 and y=x+3/2 are (A)A, 2.000000DB and 3C. printf("% 10.3f "，x)；

"Lu" DSP course design What does the system initialization of music player include?

Course design, music player system initialization. Contains a lot of things

What courses are there for computer majors?

The main courses include computer application foundation, practical writing, mathematics, English, moral education, electrician and electronic technology, computer network technology, C language, computer assembly and maintenance, advanced technology of enterprise network security, integrated management of enterprise network, and windows server 2008 operating system.

There are also LAN construction, Linux server operating system, network equipment and network technology (mainly learning the configuration, management and debugging of Cisco and Huawei equipment), SQL Server, network integrated wiring technology, CAD drawing and so on.

The characteristics of computer science are mainly embodied in: strong theory, strong practice and rapid development. Cultivating broad-caliber talents with solid foundation according to first-class disciplines is reflected in attaching importance to the theoretical and professional technical basis of mathematics, logic, data structure, algorithm, electronic design, computer architecture and system software.

(7) What does the curriculum design of expanding reading include?

Training objectives of computer specialty

Graduates of this major should have the following knowledge and ability:

1, master the basic principles, analytical methods and experimental skills of electronic technology and computer composition and architecture, and be able to engage in the development and design of computer hardware systems.

2. Master the basic theory, knowledge and skills of programming language, algorithm and data structure, operating system, software design method and engineering, have strong programming ability, and be able to engage in the development and research of system software and large-scale application software.

3. Master the basic theories, analysis methods and engineering practice skills in parallel processing, distributed system, network and communication, multimedia information processing, computer security, graphic image processing and computer-aided design, and have the ability of computer application and development.

4, master the basic theory of computer science, have a solid foundation of computer science research.

Without academic ability, you really can't design the topic of "Ba" course. Thank you for your help!

problem description

It is known that there are n kinds of articles and a backpack that can hold the weight of m, and the weight of each article I is W. Assuming that a part of article I is put into the backpack, PIXi will get the income, where o≤Xi≤ 1, pi >；; 0。 What kind of packaging can maximize the total income of the items in the backpack?

problem analysis

Firstly, the mathematical model of this problem is established:

Maximize: (1)

Constraints: (2)

Where (1) is the objective function and (2) and (3) are the constraints. Any *** (x 1…xn) that satisfies the constraints is a feasible solution (that is, it can be loaded), and the feasible solution that maximizes the objective function is the optimal solution.

Example 1. Consider the following knapsack problems: n=3, M=20, (p 1, p2, P3) = (25 25,24, 15), (W 1, W2, W3) = (18). The four possible solutions are

(xl, x2, x3) Total capacity and total revenue

? ( 1) ( 1/2, 1/3, 1/4) 16.5 24.25

? (2) ( 1,2/ 15,0) 20 28.2

? (3) (0,2/3, 1) 20 3 1

? (4) (0, 1, 1/2) 20 3 1.5

Every time an article is loaded, it is necessary to make every unit capacity occupied by it obtain the maximum unit benefit at present. This requires that the loading order of goods should be considered in the order that the PI/Wi ratio does not increase. The measure under this strategy is the ratio of the cumulative income value of the loaded project to the capacity used. Its measurement standard is to increase or at least decrease the ratio of accumulated benefit value to used capacity at most each time (the ratio may be reduced by the second and subsequent loading). This greedy strategy is applied to the data of the instance 1, and the solution ④ is obtained. If the objects are classified according to the non-increasing order of PI/WI in advance, the greedy knapsack process can get the solution of the knapsack problem under this strategy.

Algorithm description

Greedy backpack (p, w, m, x, n)

Real P( 1:n), w( 1:n), x( 1:n), m, Cu; //M is the capacity of the knapsack and x (1: n) is the solution vector.

Integer I, n;

Sort(p，w)； //The benefit values and weights of n projects sorted by P (I)/WI ≥ P (I+1)/W (I+1) form new P (1: N) and W (1); n).

X <-0//Initialize the solution vector to zero "

cu & lt-m； ///cu is the remaining capacity of the backpack//

For me<- 1 to n do

If w(i)>cu and then exit endif.

xi <- 1;

Cu<- Cu-W alloy (i);

repeat

If i≤n, then x (I) <; -Copper/tungsten (I);

endif

End greedy backpack

test data

The test data is self-defined, which requires the number n of items, the total capacity m of the backpack, and the weight and profit value of each item. Data entered by the user from the keyboard during the running of the program.

Realization prompt

Static array storage is adopted.