CMI Day 11

CMI Day 11 - Algorithms AI An algorithm is a step-by-step...

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Algorithms & AI 0. An algorithm is a step-by-step list of instructions for solving a particular problem, that has a definite starting and stopping point. 1. Problem Solving with Computers 0. Continuous Analog 1. Discrete Digital Algorithms 0. Algorithms are independent of the computer language used. 1. They are the underlying set of steps that can be turned into a software routine. Which Algorithm? 2. Choosing the Right Algorithm … 0. The precision of the desired answer 1. The runtime 2. The availability of system resources, such as memory, processor type, etc… Complexity 3. Computer science algorithms are categorized by complexity. 4. P type - Polynomial Time 3. Less complex 5. NP type - Non- Polynomial Time 4. Very complex
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Processing Power 2. Serial Processing 0. One instruction after another. 3. Parallel Processing 5. SIMD: Single Instruction Multiple Data 6. MIMD: Multiple Instruction Multiple Data Algorithms 4. The human brain contains about 100 billion neurons. With all the parallel connections that can be formed, we have about 10,000 teraflops of computing power in our brains.
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This note was uploaded on 04/08/2008 for the course SP 0710 taught by Professor Dino during the Spring '08 term at Full Sail.

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CMI Day 11 - Algorithms AI An algorithm is a step-by-step...

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