Lectures
- 1. Introduction
- 2. C and C++ Data Types
- 3. Structs, Arrays, Pointers
- 4. Generics, Swapping Pointers, Generic Linear Search
- 5. Comparison Function, C Data Structures
- 6. Stack Implementation
- 7. Stack Implementation (cont)
- 8. Heap Management
- 9. Assembly Instructions
- 10. Activation Records
- 11. C++ Code Generation
- 12. Preprocessing Commands
- 13. Compilation Process
- 14. Sequential Programming Vs. Concurrent Programming
- 15. Concurrent Programming, Semaphore
- 16. Semaphore Usage
- 17. Dining Philosopher Problem, Threading
- 18. Ice Cream Store Problem
- 19. Functional paradigm, Scheme programming language
- 20. Scheme, Flatten Function
- 21. Kawa Development Environment, Mapping Functions
- 22. Lambda Mapping Function, Permutation Function
- 23. Scheme Memory Model
- 24. Python
- 25. Python dictionary
- 26. XML and Python
- 27. Haskell programming language
Programming Paradigms - Lecture 23
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Lecture 23 - Scheme Memory Model
Scheme Memory Model - How Scheme Instructions Synthesize Linked Lists Behind the Scenes and Perform Operations on Them, Two Different Ways of Laying Out A List In Memory, One With Memory Aliasing and One Without, The Scheme Equivalent of "..." (Functions With Multiple Arguments), Writing A Generic Map Function, Modifying the Unary-Map Function to Handle Multiple Arguments By Adding A . to the List of Arguments, Extending Unary-Map to An N-Ary Map Implementation Using ., Sample Trace of the N-Ary Map Function, Garbage Collection In Scheme, How Care Must Be Taken When Reclaiming Global Variables to Ensure That They Won't Be Needed Later, High-Level Mechanics of Garbage Collection: Reference Counts, or Sweeping Through the Data and Marking All Reachable Data, Then Freeing the Rest, Other Functional Languages: Scheme, ML, Haskell, Erlang
Prof. Jerry Cain
CS107 Programming Paradigms (Stanford University: Stanford Engineering Everywhere) http://see.stanford.edu Date accessed: 2009-05-09 License: Creative Commons Attribution 3.0 |


