溫度華氏轉變攝氏
#include <stdio.h>
#include <stdlib.h>
enum x {A,B,C,D,E}
int main(void)
{
int a=73,b=85,c=66
{
if (a>=90)
printf("a=A等級!!\n")
else if (a>=80)
printf("73分=B等級!!\n")
else if (a>=70)
printf("73分=C等級!!\n")
else if (a>=60)
printf("73分=D等級!!\n")
else if (a<60)
printf("73分=E等級!!\n")
}
{
if (b>=90)
printf("b=A等級!!\n")
else if (b>=80)
printf("85分=B等級!!\n")
else if (b>=70)
printf("85分=C等級!!\n")
else if (b>=60)
printf("85分=D等級!!\n")
else if (b<60)
printf("85分=E等級!!\n")
}
{
if (c>=90)
printf("c=A等級!!\n")
else if (c>=80)
printf("66分=B等級!!\n")
else if (c>=70)
printf("66分=C等級!!\n")
else if (c>=60)
printf("66分=D等級!!\n")
else if (c<60)
printf("66分=E等級!!\n")
}
system("pause")
return 0
}
溫度華氏轉變攝氏
#include <stdio.h>
#include <stdlib.h>
enum x {A,B,C,D,E}
int main(void)
{
int a=73,b=85,c=66
{
if (a>=90)
printf("a=A等級!!\n")
else if (a>=80)
printf("73分=B等級!!\n")
else if (a>=70)
printf("73分=C等級!!\n")
else if (a>=60)
printf("73分=D等級!!\n")
else if (a<60)
printf("73分=E等級!!\n")
}
{
if (b>=90)
printf("b=A等級!!\n")
else if (b>=80)
printf("85分=B等級!!\n")
else if (b>=70)
printf("85分=C等級!!\n")
else if (b>=60)
printf("85分=D等級!!\n")
else if (b<60)
printf("85分=E等級!!\n")
}
{
if (c>=90)
printf("c=A等級!!\n")
else if (c>=80)
printf("66分=B等級!!\n")
else if (c>=70)
printf("66分=C等級!!\n")
else if (c>=60)
printf("66分=D等級!!\n")
else if (c<60)
printf("66分=E等級!!\n")
}
system("pause")
return 0
}
The government of a small but important country has decided that the alphabet needs to be streamlined and reordered. Uppercase letters will be eliminated. They will issue a royal decree in the form of a String of B and A characters. The first character in the decree specifies whether a must come ( B )Before b in the new alphabet or ( A )After b . The second character determines the relative placement of b and c , etc. So, for example, "BAA" means that a must come Before b , b must come After c , and c must come After d .
Any letters beyond these requirements are to be excluded, so if the decree specifies k comparisons then the new alphabet will contain the first k+1 lowercase letters of the current alphabet.
Create a class Alphabet that contains the method choices that takes the decree as input and returns the number of possible new alphabets that conform to the decree. If more than 1,000,000,000 are possible, return -1.
Definition
A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general
rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration
is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and
real image experiments show that the proposed algorithm is valid and robust.
We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator.
a Compute the autocorrelation of for .
b Compute the periodogram estimate and plot it.
c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for .
d Compute and plot the average periodogram using the Bartlett method.
e Comment on the results in parts (a) through (d).
