Object Oriented Programming
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This lecture explores weight, perceived gravity, weightlessness, free fall, and zero perceived gravity in orbit. An object is swirled around on a string in a vertical plane. The tension in the string is evaluated when the object is at the top and when it is at the bottom of its circular trajectory. Objects in free fall as described as weightless: Exploring the weight of a tennis ball being tossed in the air, and of a bottle of water in...more
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Transitioning from Sequential Programming to Concurrent Programming in the Ticket Sale Example
Stanford / Computer Science
Transitioning from Sequential Programming to Concurrent Programming in the Ticket Sale Example, Problems with the Sequential Model, Threading Interface, Rewriting the Ticket Example to Use It, Adding a Randomized Threadsleep Call to the Threads to Make the Time Slices Used by the Different Threads Less Uniform, Sample Output of Our Ticket Threads, How a Thread Can be Interrupted in the Middle of a Nonatomic Operation, How Multithreading...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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Stochastic Programming, Variations (Of Stochastic Programming), Expected Value Of A Convex Function, Example: Expected Value Of Piecewise Linear Function, On-Line Learning And Adaptive Signal Processing, Example: Mean-Absolute Error Minimization, Localization And Cutting-Plane Methods, Cutting-Plane Oracle, Neutral And Deep Cuts, Unconstrained Minimization, Deep Cut For Unconstrained Minimization, Feasibility Problem, Inequality...more
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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
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Imperative/Procedural Paradigms (C) and Object-Oriented Paradigm(C++), Introduction to the Functional Paradigm (Scheme), Which Is Based on Synthesizing the Return Values of Functions, Example of a Scheme Function Definition that Converts Celsius to Fahrenheit, Scheme Environment (Kawa) Details, Scheme Primitives, Scheme Lists, Expressing Functions and Function Calls as Lists, Function Examples: , , and, Scheme List Operations: Car and...more
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November 16, 2007 lecture by Ge Wang for the Stanford University Human-Computer Interaction Seminar. In the first part of this talk, Ge presents the design, philosophy, and development of ChucK, a computer music programming language intending to provide a different approach, expressiveness, and thinking with respect to time and parallelism in audio programming - as well as a platform for precise and rapid experimentation. In the second...more
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Topics: Welcome to CS106A, Course Staff, Why is the class called Programming Methodology?, Are you in the right class?, Class Logistics, Assignments and Grading, Extensions, Midterm and Final, Grade Breakdown, The Honor Code, Why Karel?
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Life After Programming Methodology, The CS Major, Other Possible Majors
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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
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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
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(Generalized) Linear-Fractional Program, Quadratic Program (QP), Quadratically Constrained Quadratic Program (QCQP), Second-Order Cone Programming, Robust Linear Programming, Geometric Programming, Example (Design Of Cantilever Beam), GP Examples (Minimizing Spectral Radius Of Nonnegative Matrix)
