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Markov Chains || Step-By-Step || ~xRay Pixy

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Learn Markov Chains step-by-step using real-life examples. Video Chapters: Markov Chains 00:00 Introduction 00:19 Topics Covered 01:49 Markov Chains Applications 02:04 Markov Property 03:18 Example 1 03:54 States, State Space, Transition Probabilities 06:17 Transition Matrix 08:17 Example 02 09:17 Example 03 10:26 Example 04 12:25 Example 05 14:16 Example 06 16:49 Example 07 18:11 Example 08 24:56 Conclusion
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Loop Optimization Techniques in Compiler Design

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LOOP Optimization

Rules Every Programmer must follow before the optimization of any source code. 
1.) Loop transformation technique. 
2.) Help to reduce optimize the execution time of a program.
3.) Basically, remove the iterations. 
4.) Loop Unrolling increase the program speed by eliminating loop control instructions.

Loop Optimization is a Machine Independent Technique. We can do Code optimization in the loops of the program. In loop optimization, code optimization is performed on inner loops.

Methods of Loop Optimization
1.) Code Motion
2.) Loop Invariant Method
3.) Loop Jamming
4.) Loop Unrolling
5.) Strength Reduction
Code Motion: Technique that moves the code outside the loop.
Loop Jamming: Combining two or more loops in a single loop.
Code Strength: Expressions that consumes CPU time and memory should replace with cheaper expressions. Replace Expensive Expressions (i.e., *) with cheaper ones (i.e., +)

Vidoe: https://youtu.be/1cSnmjRPRTA
Loop Optimization Technique in Compiler Design

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PARTICLE SWARM OPTIMIZATION ALGORITHM NUMERICAL EXAMPLE

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