applications of chemical engineering
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Multi-dimensional Arrays, An ArrayList, The Template Class, Methods in the ArrayList Class, An Example Program Using ArrayList, ArrayLists Hold Objects, An Example Program with an ArrayList of Glabels, The GrayImage Example Program
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Joint Space Dynamics, Newton-Euler Algorithm, Inertia Tensor, Example, Newton-Euler Equations, Lagrange Equations, Equations of Motion
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Final Showdown, Thinking About Design, Runtime Performance, Memory Used, Code Complexity, Making Tradeoffs, Array vs Vector, Stack/Queue vs Vector, Set vs Sorted Vector, Pointer-based vs. Contiguous Memory, CS106B MVPs, Pointers, To Remember Years from Now, After CS106B, considering.cs
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Summary - Frame Attachment, Example - RPRR Manipulator, Stanford Scheinman Arm, Stanford Scheinman Arm - DH Table, Forward Kinematics, Stanford Scheinman Arm - T-Matrices, Stanford Scheinman Arm - Final Results
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Guest Lecturer: Krasimir Kolarov, Trajectory Generation - Basic Problem, Cartesian Planning, Cubic Polynomial, Finding Via Point Velocities, Linear Interpolation, Higher Order Polynomials, Trajectory Planning with Obstacles
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The Concept of Unsupervised Learning, K-means Clustering Algorithm, K-means Algorithm, Mixtures of Gaussians and the EM Algorithm, Jensen's Inequality, The EM Algorithm, Summary
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More Containers, Map Class, Uses of Map, Map Client Interface, Live Coding Example: Use of Map, More information on Maps, What s Missing? Iterator Operation Through the Map, Iterating Over the Map, Set Class, Set Client Interface, Live Coding Example : Use of Set, Set Higher-level Operations, Why Set is Different
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Manipulator Control, PD Control Stability, Task Oriented Control, Task Oriented Equations of Motion, Operational Space Dynamics, Example, Nonlinear Dynamic Decoupling, Trajectory Tracking
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Compliance, Force Control, Dynamics, Task Description, Historical Robotics, Stanford Human-Safe Robot, Task Posture and Control, Multi-Contact Whole-Body Control
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Scott suggests that basic questions such as why and for which market are asked before significant engineering resources can be allocated to any project. While Juniper's culture promotes innovation, it doesn't appreciate an innovation that is never used.
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Discriminative Algorithms, Generative Algorithms, Gaussian Discriminant Analysis (GDA), GDA and Logistic Regression, Naive Bayes, Laplace Smoothing
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This lecture continues the discussion of the HOMO/LUMO view of chemical reactivity by focusing on ways of recognizing whether a particular HOMO should be unusually high in energy (basic), or a particular LUMO should be unusually low (acidic). The approach is illustrated with BH3, which is both acidic and basic and thus dimerizes by forming unusual "Y" bonds. The low LUMOs that make both HF and CH3F acidic are analyzed and compared underlin...more
