A functional programming approach to memoization within the R language for matrix algebra. It replaces standard solve calls with a cached lookup mechanism to optimize iterative data processing.
Tech Stack
RMathematics & Statistics
Why Programming-Assignment-Week-3?
• Optimized for large vectors
• Uses native R scoping rules
• Easy to fork and modify
Limitations
• No error handling for non-square matrices
• Memory-bound caching
• Command-line only
9/3/2016
Last Update
1
Forks
0
Issues
Unknown
License
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