2.3 The learner's repertoire
How do we learn? Understanding ‘how’ is the key to learning more effectively. This unit looks at the three main categories of theories: the acquisitive, constructivist and experiential models of learning. There is no right way to learn but developing an active approach will ensure that you are open to new ideas.
Author(s): The Open University

License information
Related content

Except for third party materials and otherwise stated (see http://www.open.ac.uk/conditions terms and conditions), this content is made available under a http://creativecommons.org/licenses/by-nc-sa/2

13. Convex Optimization II Lecture 13
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, trust region, nonlinear optimal control, discretization, SCP, torque residuals, convex-c
Author(s): No creator set

License information
Related content

12. Convex Optimization II Lecture 12
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, sequential convex programming, alternating convex optimization, convex-concave, nonnegat
Author(s): No creator set

License information
Related content

10. Convex Optimization II Lecture 10
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, rate control, single commodity network flow, convex problem, dual decomposition, lagrang
Author(s): No creator set

License information
Related content

9. Convex Optimization II Lecture 9
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, separable problems, complicating variables, primal decomposition, dual, complicating con
Author(s): No creator set

License information
Related content

8. Convex Optimization II Lecture 8
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, ellipsoid method, convergence proof, inequality constraints, feasibility problems, deep
Author(s): No creator set

License information
Related content

7. Convex Optimization II Lecture 7
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, subgradient method,cutting plane, cutting plane method, analytic center, pruning constra
Author(s): No creator set

License information
Related content

6. Convex Optimization II Lecture 6
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, subgradient method,cutting plane, localization algorithms, lower bounds, stopping criter
Author(s): No creator set

License information
Related content

5. Convex Optimization II Lecture 5
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, subgradient method, stochastic programing, convergence proof, convex functions, adaptive
Author(s): No creator set

License information
Related content

4. Convex Optimization II Lecture 4
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, subgradient method, dual, constrained optimization, linear equality constraints, negativ
Author(s): No creator set

License information
Related content

2. Convex Optimization II Lecture 2
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, stepsize rules, convergence results, proofs, optimal step size, alternating projections,
Author(s): No creator set

License information
Related content

1. Convex Optimization II Lecture 1
Math, Technology, Algebra, calculus, geometry, electrical engineering, convex optimization, subgradient calculus, derivatives, basic inequality, function, algorithms, convex analysis, nondifferentiable, subdifferential, weak subgradient calculus, strong s
Author(s): No creator set

License information
Related content

18. Convex Optimization I Lecture 18
science, electrical, engineering, technology, convex, optimization, logarithmic barrier, reformulation, indicator, function, KKT, Lagrangian, Lipschitz, condition, geometric program, phase I
Author(s): No creator set

License information
Related content

10. Convex Optimization I Lecture 10
science, electrical, engineering, technology, convex, optimization, estimation, approximation, norm, least-squares, Chebyshev, Huber, penalty, function, Tikhonov, regularization, linear, dynamical, system
Author(s): No creator set

License information
Related content

9. Convex Optimization I Lecture 9
science, electrical, engineering, technology, convex, optimization, complementary, slackness, Karush, Kuhn, Tucker, conditions, KKT, Lagrangian, Slater's, condition, perturbed, sensitivity
Author(s): No creator set

License information
Related content

3. Convex Optimization I Lecture 3
science, electrical, engineering, technology, convex, optimization, affine, eigenvalue, extended-value, extension, quadratic, function, epigraph, Jensen, inequality
Author(s): No creator set

License information
Related content

4. Convex Optimization I Lecture 4
science, electrical, engineering, technology, convex, optimization, scalar, vector, Schur, complement, logarithm, quadratic, IRR, Jensen, inequality, Gaussian, integration, property, yield function
Author(s): No creator set

License information
Related content

1. Convex Optimization I Lecture 1
science, electrical, engineering, technology, convex, optimization, least, squares, constraint, function, portfolio, circuit, data, fitting, ellipsoid, control, signal, processing
Author(s): No creator set

License information
Related content

2. Convex Optimization I Lecture 2
science, electrical, engineering, convex, optimization, vector, dual, cone, hyperplane, Euclidean, ball, ellipsoid, polyhedra, semidefinite, linear-fractional, function
Author(s): No creator set

License information
Related content

Statistical Mechanics Lecture 2 (April 6, 2009)
classical quantum physics, science, biology, engineering, thermodynamics, math, formula, space, statistics, variable, methodology, probability distribution, entropy, maximize, thermal equilibrium, function, variable, average, minimum value, equation, lamb
Author(s): No creator set

License information
Related content