Data Abstraction
sort by: Relevancy | Title | Rating try advanced search for more options
-
Example in Which Writing Past the End of Array Causes the Return Address of the Function to be Overwritten, Leading to An Infinite Loop, Example in Which Data Is Incorrectly Shared between Two Different Functions, But Can Still be Printed Out Due to the Structure of the Activation Record (Channelling), How Printf's Prototype Uses "...", Which Allows It to Take A Variable Number of Arguments, Why Parameters Are Pushed Onto the Stack From...more
-
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
-
A mortgage involves making a promise, backing it with collateral, and defining a way to dissolve the promise at prearranged terms in case you want to end it by prepaying. The option to prepay, the refinancing option, makes the mortgage much more complicated than a coupon bond, and therefore something that a hedge fund could make money trading. In this lecture we discuss how to build and calibrate a model to forecast prepayments in order...more
-
In this introductory lecture, Professor Lewin discuses basic units, dimensions, measurements and associated uncertainties, dimensional analysis, and scaling arguments. Further, he explains why a measurement is meaningless without knowledge of its uncertainty, using data collected by Galileo Galilei as an example. He begins to dive into dimensional analysis, reasoning that the time from an object to fall from a certain height is...more
-
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
-
Problems with Ownership of Memory, How Default Implementation of Stackdispose Does Not Free Dynamically Allocated Data, Adding a Free Function to the Stack Implementation, Rewriting Stackdispose to Incorporate It, Writing a Free Function for a Stack of C-Strings, Pitfalls When Writing Such Functions, C Library Functions for Assignment 3 - Memmove (Memcpy That Can Copy Using Two Regions That Overlap), Example of Rotate Function, C Qsort...more
-
This lecture is about optimal exercise strategies for callable bonds, which are bonds bundled with an option that allows the borrower to pay back the loan early, if she chooses. Using backward induction, we calculate the borrower's optimal strategy and the value of the option. As with the simple examples in the previous lecture, the option value turns out to be very large. The most important callable bond is the fixed rate amortizing...more
-
Guest Lecturer: Sasha Rush, Haskell History, Safeguards in Haskell that Avoid Runtime Errors, Expressive Functions in Haskell, Speed of Haskell, Haskell Fibonacci Sequence in One Line Using Lazy Evaluation, How Lazy Evaluation Allows if Statements, Haskell Types, User-defined Data Types, Representing the Null Type in Haskell, List Types, Strings as Lists and Recursive Type Definitions, List Functions and Pattern Matching, Type Variables...more
-
Integer Stack Implementation - Constructor and Destructor, Stackpush Implementation, Reallocation of Memory when Stack Grows Too Big Using Realloc, How Memory is Copied Using Realloc, Stackpop Implementation, Reimplementing the Stack Interface as a Generic Data Structure, Generic Implementation of StackNew, Generic Implentation of Stackpush Using Memcpy, Stackgrow Implementation, Static (Internal) Functions, Generic Stackpop...more
-
Sequential Convex Programming, Methods For Nonconvex Optimization Problems, Sequential Convex Programming (SCP), Basic Idea Of SCP, Trust Region, Affine And Convex Approximations Via Taylor Expansions, Particle Method, Fitting Affine Or Quadratic Functions To Data, Quasi-Linearization, Example (Nonconvex QP), Lower Bound Via Lagrange Dual, Exact Penalty Formulation, Trust Region Update, Nonlinear Optimal Control, Discretization, SCP...more
-
XML Processing and Python - Two Different XML Processing Models, Example XML Fragment, How an XML Parser Uses Tag Handlers to Break Up an XML Stream, How Python Can Parse XML Streams Using Urlopen, Make_Parser, and Contenthandler, Defining a Listfeedtitles Function that Takes in a URL and Parses it Using a Parser and an Rsshandler, Contenthandler Interface, Implementing The Rsshandler Class, Which Subclasses Contenthandler, to Fit The...more
-
Similarity between C++ & Java: - syntax - variable types - operators - control structures
Stanford / Computer Science
Similarity between C++ & Java: - syntax - variable types - operators - control structures, Looking at an Example C++ code: - comment, #include Statements, Global Declarations (constant), Declaring a Function Prototype, The main() Function, Decomposed Function Definition, Example Live Coding: To Calculate the Average, for loop - a while : Another Purpose of the Same Code, C++ User Defined Data Types: -enums -records, C++ Parameters...more
