我是Python中CP问题和OR-Tools方面的新手,我想做以下工作:
# declare variables
for i in range(I):
for k in range(K):
x[i,k]=solver.IntVar(0,N,"x %i %i " % (i,k))
#constraints
solver.Add(CustomFunction[(x[i,k])] == 1) # only consider the values of x[i,k] evaluated in CustomFunction is equal to 1
但是,在评
我试图写一个正确的线性上下文无关文法,其中0和1的数之间的差应该是偶数。例如:
010001 = 4 - 2 = 2 (even)
我有一个。也许能帮上忙!我想把它写在prolog上。我做了另外10项练习,但这对我来说太难了。对怎么做有什么想法吗?
我的代码
s --> [].
s --> [1],a.
s --> [0],b.
a --> [1],s.
a --> [0],c.
b --> [1],c.
b --> [0],s.
c --> [].
c --> [1],b.
c --> [0],a.
这在很多情况下都是可行的,
使用文本格式的Z3,我可以使用define-fun来定义函数,以便稍后重用。例如:
(define-fun test((a Int) (b Int)) Int
(ite (and (> a 2) (<= b 3))
1
(ite (and (<= a 2)(> b 10))
2
a
)
)
)
所以我想知道如何定义使用C#应用程序接口的乐趣,因为Context.MkFuncDecl仅用于生
import numpy as np
from scipy.optimize import linprog
b_ub = [74, 40, 36]
b_eq = [20, 45, 30]
A = np.array([[7, 3, 6], [4, 8, 2], [1, 5, 9]])
m, n = A.shape
c = list(np.reshape(A, n * m)) # Convert matrix A to list c.
A_ub = np.zeros([m, m * n])
for i in np.arange(0, m,
1): # F
我对优化代码有一个问题。我写的代码应该优化这两个目标,考虑它们的表达式,并产生可以绘制的值。这是我的代码,如下所述。 from pyomo.environ import *
import numpy as np
import pandas as pd
import random
import matplotlib.pyplot as plt
model = ConcreteModel()
st1 = []
st2 = []
rows =10
n = []
for i in range(rows):
rn = random.randi
我必须将一个多集合划分为两个和相等的集合。例如,给定multiset:
1 3 5 1 3 -1 2 0
我将输出两个集合:
1) 1 3 3
2) 5 -1 2 1 0
它们的总和都是7。
为此,我需要使用Z3 (smt2输入格式)和“线性算术逻辑”,其定义如下:
formula : formula /\ formula | (formula) | atom
atom : sum op sum
op : = | <= | <
sum : term | sum + term
term : identifier | constant | constant
我需要一个专业名单和一个字母等级的列表,我需要得到与字母等级相关的专业内完成课程的数量。所以如果我有:
Major
Mechanical Engineer
Electrical Engineer
Civil Engineer
Chemical Engineer
...
Grade
A
B
C
...
Student
100 - Alice - Mechanical Engineer
101 - Tom - Mechanical Engineer
102 - Rex - Mechanical Engineer
103 - Bob - Mechanical Engineer
104 - Jo