Table of Contents
CS410 MIDTERM SOLVED PAPERS
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A good understanding of algorithms is essential to a well-rounded understanding of computer science: editing. Unlike a program, an algorithm is a mathematical business, independent of a specific programming language, machine, or producer. So, in a way, the design of the algorithm is about mathematical theory after the design of good programs.
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Unlike programs, algorithms should be understood primarily by people (i.e. program planners) and not machines. So it gives us a little bit of flexibility in how we present our algorithms, and a lot of low-level information may be left out (as it will be the job of the editor who uses the algorithm to complete it).
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But, in order to say anything logical about our algorithms, it will be important for us to be based on a mathematical model. Ideally, this model should be a logical release of a standard generic single-processor machine. We call this model a random access machine or RAM.
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Although computer science had rejected this concept of neural networks after Minsky and Paper’s Perceptron’s book, in the 1980s at least four different groups reinvented the backpropagation learning algorithm which was first founded in 1969 by Bryson and Ho.
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The carry can only be zero or one. If a 16bit number is added to a 16bit accumulator, and the result is 17 bits the 17th bit is placed in the carry bit of the flags register. Without this 17th bit, the answer is incorrect. More examples of flags will be discussed when dealing with the Intel-specific register set.
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The main purpose of our statistical analysis will be to measure performance time. We will also be concerned with the space (memory) required by the algorithm. The operating time of the algorithm will depend on computer speed, programming language, organizer set, etc.