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Objective C


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  1. Topics include: Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; the functional paradigm (using LISP) and concurrent programming (using C and C++); brief survey of other modern languages such as Python, Objective C, and C#. Prerequisites: Programming and problem solving at the Programming Abstractions level. Prospective students should know a reasonable amount of C++....more

  2. Methods (Truncated Newton Method), Convergence Versus Iterations, Convergence Versus Cumulative CG Steps, Truncated PCG Newton Method, Truncated Newton Interior-Point Methods, Network Rate Control, Dual Rate Control Problem, Primal-Dual Search Direction (BV Section 11.7), Truncated Netwon Primal-Dual Algorithm, Primal And Dual Objective Evolution, Relative Duality Gap Evolution, Relative Duality Gap Evolution (N = 10^6), L_1-Norm Methods...more

  3. Professor Kleiner explores the architecture of the western provinces of the Roman Empire, focusing on sites in what are now North Italy, France, Spain, and Croatia. Her major objective is to characterize "Romanization," the way in which the Romans provide amenities to their new colonies while, at the same time, transforming them into miniature versions of the city of Rome. Professor Kleiner discusses the urban design of two Augustan towns...more

  4. The sanitary movement was an approach to public health first developed in England in the 1830s and '40s. With increasing industrialization and urbanization, the removal of filth from towns and cities became a major focus in the struggle against infectious diseases. As pioneered by Edwin Chadwick, the sanitary movement also embraced an explicit political objective, according to which urban cleansing took on a figurative as well as a...more

  5. Recap: Ellipsoid Method, Improvements (To Ellipsoid Method), Proof Of Convergence, Interpretation Of Complexity, Deep Cut Ellipsoid Method, Ellipsoid Method With Deep Objective Cuts, Inequality Constrained Problems, Stopping Criterion, Epigraph Ellipsoid Method, Epigraph Ellipsoid Example, Summary: Methods For Handling, Nondifferentiable Convex Optimization Problems Directly, Decomposition Methods, Separable Problem, Complicating...more

  6. Model Predictive Control, Linear Time-Invariant Convex Optimal Control, Greedy Control, 'Solution' Via Dynamic Programming, Linear Quadratic Regulator, Finite Horizon Approximation, Cost Versus Horizon, Trajectories, Model Predictive Control (MPC), MPC Performance Versus Horizon, MPC Trajectories, Variations On MPC, Explicit MPC, MPC Problem Structure, Fast MPC, Supply Chain Management, Constraints And Objective, MPC And Optimal...more

  7. Professor Shapiro transitions to the third and final section of the course, an in-depth look at democracy and its institutions. According to him, democracy is the most successful at delivering on the mature Enlightenment's twin promises to recognize individual rights as the ultimate political good and to base politics on some kind of commitment to objective knowledge. And interestingly, democracy as a tradition was not made famous by its...more

  8. According to Arcadia Kim, Chief Operating Officer for Electronic Arts Los Angeles, an entrepreneur is someone who sees an opportunity that other people cannot see, tries to understand the competitive landscape around this opportunity, assumes the inherent risk, and relentlessly and persistently pursues success. Specifically in the game industry, however, the objective for the entrepreneur is to deliver fun, she adds.

  9. Musk talks about how PayPal had a number of offers but they undervalued the companies and so they went public to get an objective valuation of the company. eBay had made a good offer after the IPO, says Musk. Another reason to sell to eBay was the long term risk of losing to the eBay payment platform, he adds.

  10. Perry addresses the fact that an analytical way of thinking and approaching problems from his advanced degree in mathematics was a huge asset for his role as the Secretary of Defense. He stresses that the logic of going through the steps of problem solving will help one build objective decisions about the problem.

  11. Least-Squares Polynomial Fitting, Norm Of Optimal Residual Versus P, Least-Squares System Identification, Model Order Selection, Cross-Validation, Recursive Least-Squares, Multi-Objective Least-Squares

  12. Stan Christensen talks about his experience in negotiating salaries and fills the conversation with interesting personal experiences. He believes that developing a best alternative to a negotiated agreement and having a good idea about the objective criteria is key to effective negotiation of salaries.