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In logic and computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated SATISFIABILITY, SAT or B-SAT) asks whether there exists an interpretation that satisfies a given Boolean formula. In other words, it asks whether the formula's variables can be consistently replaced by the ...
English: A mocked-up front page of an early-2020s VCE science exam paper. I created this in similar formats to science subjects exam front cover to illustrate the VCE Wikipedia article, as all past exams are copyrighted by VCAA.
"A large-scale quantum computer would be able to efficiently solve NP-complete problems." The class of decision problems that can be efficiently solved (in principle) by a fault-tolerant quantum computer is known as BQP. However, BQP is not believed to contain all of NP, and if it does not, then it cannot contain any NP-complete problem. [15]
In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory. It is intended for storage of floating-point values in applications where higher precision is not essential, in particular image processing and neural networks .
Assessment for AP Computer Science Principles is divided into two parts: a Create Performance Task due during the course, as well as an AP exam. [2] AP Computer Science Principles examines a variety of computing topics on a largely conceptual level, and teaches procedural programming. In the Create "Through-Course Assessment", students must ...
The use of recursive data structures and dynamically allocated structures were fundamental to AP Computer Science AB. AP Computer Science AB was equivalent to a full-year college course. [9] Due to low numbers of students taking the exam, AP Computer Science AB was discontinued following the May 2009 exam administration. [10] [11]
For example, binary trees were studied in AP Computer Science AB but not in AP Computer Science A. The use of recursive data structures and dynamically allocated structures were fundamental to AP Computer Science AB. Due to low numbers of students taking the AP Computer Science AB exam, it was discontinued after the 2008–2009 year. [28]
As the amount of resources required to run an algorithm generally varies with the size of the input, the complexity is typically expressed as a function n → f(n), where n is the size of the input and f(n) is either the worst-case complexity (the maximum of the amount of resources that are needed over all inputs of size n) or the average-case ...