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The dangling else is a problem in programming of parser generators in which an optional else clause in an if–then(–else) statement can make nested conditional statements ambiguous. Formally, the reference context-free grammar of the language is ambiguous, meaning there is more than one correct parse tree.
the design of Parsons problems is flexible [4] there are many variants that are continuously refined to better address student needs [4] However, the effectiveness of Parsons problems, both as a question type and as a learning tool in CS education, remains uncertain due to a lack of replicated research in the field. [4]
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
The pancake sorting problem and the problem to obtain the diameter of the pancake graph are equivalent. [ 16 ] The pancake graph of dimension n , P n can be constructed recursively from n copies of P n−1 , by assigning a different element from the set {1, 2, …, n} as a suffix to each copy.
Let C i (for i between 1 and k) be the sum of subset i in a given partition. Instead of minimizing the objective function max(C i), one can minimize the objective function max(f(C i)), where f is any fixed function. Similarly, one can minimize the objective function sum(f(C i)), or maximize min(f(C i)), or maximize sum(f(C i)).
In computational geometry, Klee's measure problem is the problem of determining how efficiently the measure of a union of (multidimensional) rectangular ranges can be computed. Here, a d -dimensional rectangular range is defined to be a Cartesian product of d intervals of real numbers , which is a subset of R d .
For example, the subset {A,C} is compatible, as is the subset {B}; but neither {A,B} nor {B,C} are compatible subsets, because the corresponding intervals within each subset overlap. The interval scheduling maximization problem (ISMP) is to find a largest compatible set, i.e., a set of non-overlapping intervals of maximum size.
The similarity of Pyrex's syntax to Python's makes it easy to write Python modules, but there are some functional limitations. [3] The programmer must specify the name of C-header files, enumerations, datatypes and functions needing to be accessed in the module, then they can be used as if they were Python objects. The Pyrex compiler will ...