boolean-expression

Do they have a reason for doing so? I mean, in the sum of minterms, you look for the terms with the output 1; I don't get why they call it "minterms." Why not maxterms because 1 is well bigger than 0? Is there a reason behind this that I don't know? Or should I just accept it without asking why? Rubenulis The convention for calling these terms "minterms" and "maxterms" does not correspond to 1 being greater than 0. I think the best way to answer is with an example: Say that you have a circuit and it is described by X̄YZ̄ + XȲZ . "This form is composed of two groups of three. Each group of

I am writing a security system that denies access to unauthorized users. import sys print("Hello. Please enter your name:") name = sys.stdin.readline().strip() if name == "Kevin" or "Jon" or "Inbar": print("Access granted.") else: print("Access denied.") It grants access to authorized users as expected, but it also lets in unauthorized users! Hello. Please enter your name: Bob Access granted. Why does this occur? I've plainly stated to only grant access when name equals Kevin, Jon, or Inbar. I have also tried the opposite logic, if "Kevin" or "Jon" or "Inbar" == name , but the result is the

This question already has an answer here: java ternary operator 2 answers I think this question is a general programming question, but let's assume I'm asking this for Java. what does the following statement do ? return a ? (b || c) : (b && c); I have seen the syntax with ? 's and : 's in many topics at SO, this particular one I found in Check if at least two out of three booleans are true But I don't know what they mean, so how to use them, and I believe it's something very useful for me. Thanks ! That's the conditional operator. It means something like: condition ? value-if-true : value-if

I am getting an exception as I try to slice with a logical expression my Pandas dataframe. My data have the following form: df GDP_norm SP500_Index_deflated_norm Year 1980 2.121190 0.769400 1981 2.176224 0.843933 1982 2.134638 0.700833 1983 2.233525 0.829402 1984 2.395658 0.923654 1985 2.497204 0.922986 1986 2.584896 1.09770 df.info() <class 'pandas.core.frame.DataFrame'> Int64Index: 38 entries, 1980 to 2017 Data columns (total 2 columns): GDP_norm 38 non-null float64 SP500_Index_deflated_norm 38 non-null float64 dtypes: float64(2) memory usage: 912.0 bytes The command is the following: df[(

For each of the following write the equivalent C++ expressions, without any unary negation operators (!). (!= is still permitted) Use DeMorgan's law !( P && Q) = !P || !Q !( P || Q) = !P && !Q For !(x!=5 && x!=7) !(x<5 || x>=7) !( !(a>3 && b>4) && (c != 5)) My answers: (x>5 || x<5) || (x>7 || x<7) x>=5 && x < 7 (a>3 && b > 4) && (c!=5) Are these correct? If not, can you give me answers and explain why they are wrong? I am a beginner in C++ so take it easy. Check this out: !(x!=5 && x!=7) --> x==5 || x==7 !(x<5 || x>=7) --> x>=5 && x<7 !( !(a>3 && b>4) && (c != 5)) --> (a>3 && b>4) || c==5 So,

Consider the following method in Java: public static boolean expensiveComputation() { for (int i = 0; i < Integer.MAX_VALUE; ++i); return false; } And the following main method: public static void main(String[] args) { boolean b = false; if (expensiveComputation() && b) { } } Logical conjunction (same as &&) is a commutative operation . So why the compiler doesn't optimize the if-statement code to the equivalent: if (b && expensiveComputation()) { } which has the benefits of using short-circuit evaluation ? Moreover, does the compiler try to make other logic simplifications or permutation of

Is there a method similar to equals() that expresses "not equal to"? An example of what I am trying to accomplish is below: if (secondaryPassword.equals(initialPassword)) { JOptionPane.showMessageDialog(null, "You've successfully completed the program."); } else { secondaryPassword = JOptionPane.showInputDialog(null, "Your passwords do not match. Please enter you password again."); } I am trying to find something that will not require me to use if ( a != c) . Just put a '!' in front of the boolean expression "Not equals" can be expressed with the "not" operator ! and the standard .equals . if