Software Engineering
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Car-Cdr Recursion Problem that Returns the Sum of Every Element in a List of Integers, How Scheme Checks Type During Run-Time Rather than Compilation, Recursive Implementation of the Fibonacci Function in Scheme, Example that Illustrates Runtime Error/Type Checking Vs. Compile-Time Error/Type Checking, Writing a Recursive Flatten Function that Removes All the Intervening Parentheses from a List, Using a Cond Structure to Branch Over the...more
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Addendum: Hit-And-Run CG Algorithm, Maximum Volume Ellipsoid Method, Chebyshev Center Method, Analytic Center Cutting-Plane Method, Extensions (Of Cutting-Plane Methods), Dropping Constraints, Epigraph Cutting-Plane Method, PWL Lower Bound On Convex Function, Lower Bound, Analytic Center Cutting-Plane Method, ACCPM Algorithm, Constructing Cutting-Planes, Computing The Analytic Center, Infeasible Start Newton Method Algorithm, Properties...more
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Overarching Features of Python: Scripting Language, Imperative, Object-Oriented, Functional, More Python Overview - Dynamic Typing, Use of Whitespace and Tabs, Python Environment, Execution of Basic Statements, Calling Methods Using Objects (And Anonymous Objects Like String Literals), Evaluating Assignments, Python Strings, String Methods, and Lists/Sublists (Including Index Wrapping), Strings as Lists of Characters in Python, Replacing...more
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Decomposition Applications, Rate Control Setup, Rate Control Problem, Rate Control Lagrangian, Aside: Utility Functions, Rate Control Dual, Dual Decomposition Rate Control Algorithm, Generating Feasible Flows, Convergence Of Primal And Dual Objectives, Maximum Capacity Violation, Single Commodity Network Flow Setup, Network Flow Problem, Network Flow Lagrangian, Network Flow Dual, Recovering Primal From Dual, Dual Decomposition Network...more
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Heap Management - How Information about Allocations are Stored in the Heap
Stanford / Computer Science
Heap Management - How Information about Allocations are Stored in the Heap, Result of Freeing Memory Improperly, Actual Sizes of Heap Allocations - Nearest Power of 2, Management of Free Blocks on the Heap by Storing Addresses in the Blocks of Free Memory, Algorithms for Choosing Which Free Block to Allocate, How the Heap's Free List Can Be Updated When Memory is Freed, How Adjacent Free Blocks Are Combined To Avoid Fragmentation,...more
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Live Coding: Recap of the Vector-based Implementation for Stack, Linked List Implementation for Stack, Live Coding: Linked List Implementation for Stack, Analyzing Push/pop Functions, Queue Implementation, Live Coding: Queue Implementation, Alternative Implementation, Text Editor Case Study, Buffered Class Interface and Buffer Layered on Vector, Live Coding: Text Editor, Evaluate Vector Buffer, Buffer Layered on Stack, Live Demo, Compare...more
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Generic Lsearch - Prototype, Comparison Function, Implementation, Casting Void*S to Char*S to Compute Byte Offsets, Client Use of Generic Lsearch, Example of a Comparison Function for Integers, More Complicated Data Types and Lsearch- Example Using C-Strings, Comparison Function for Two C-Strings, With Arguments that Represent Char**S, Comparison Functions Where the Key is a Different Type than the Second Argument, Using a Pointer to a...more
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More Detail about Activation Records - Layout of Memory During a Function Call
Stanford / Computer Science
More Detail about Activation Records - Layout of Memory During a Function Call, How the Return Address of a Function is Stored on the Stack, Example Showing How an Activation Record is Constructed on the Stack, Setting Up Function Parameters on the Stack, Using the Call Instruction to Jump to the Function, Cleaning Up at the End of a Function and Using the RET Instruction and the Saved Return Address to Return to the Original Function,...more
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Recap: Example: Minimum Cardinality Problem, Interpretation As Convex Relaxation, Interpretation Via Convex Envelope, Weighted And Asymmetric L_1 Heuristics, Regressor Selection, Sparse Signal Reconstruction, L_1-Norm Methods For Convex-Cardinality Problems Part II, Total Variation Reconstruction, Total Variation Reconstruction, TV Reconstruction, L_2 Reconstruction, Iterated Weighted L_1 Heuristic, Sparse Solution Of Linear Inequalities,...more
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Selection Sort, Live Demo: Working/execution of the Code, Selection Sort Analysis, Insertion Sort Algorithm, Live Demo: Working/execution of Insertion Sort, Insertion Sort Analysis, Insertion vs Selection, Quadratic Growth of the Algorithm, Merge Sort, Merge Sort: Working/execution Demo, Merge Sort Code Explanation, Merge Sort Analysis, Quadratic vs Linear Arithmetic, Sort 'Race', Quick Sort Idea
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Comments: Latex Typesetting Style, Recap: Primal Decomposition, Dual Decomposition, Dual Decomposition Algorithm, Finding Feasible Iterates, Interpretation, Decomposition With Constraints, Primal Decomposition (With Constraints) Algorithm, Example (Primal Decomposition With Constraints), Dual Decomposition (With Constraints), Dual Decomposition (With Constraints) Algorithm, General Decomposition Structures, General Form, Primal...more
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Rewriting RSG to Illustrate all Three Paradigms and Lambdas in Python, How Objects Are Implemented in Python, Python Dictionary Implementation, Writing an RSG Grammar in Python Using A Dictionary and Lists, Expanding the Start Terminal Using all Three Paradigms at Once, Changing the Expand Function to A Binary Function, Modifying the Map to Use A Python Lambda Function As A Result, Python Object Model From A Memory Standpoint, How Objects...more
