1.
Jensen's inequality - Wikimization
Jensen's inequality says this: If \,\mu\, is a probability measure on \,X\, , ... (This limiting argument is a missing detail to this proof...) ...
2.
Convex Optimization - Convex Functions
"The link between convex sets and convex functions is via the epigraph: A ... Any convex real function f(X) has unique minimum value over any convex subset ...
3.
Convex Optimization - Duality Gap
Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has geometric interpretation.
4.
Convex Optimization - Convex Functions
"The link between convex sets and convex functions is via the epigraph: A ... Any convex real function f(X) has unique minimum value over any convex subset ...
5.
Matlab for Convex Optimization & Euclidean Distance Geometry ...
These MATLAB programs come from the book Convex Optimization & Euclidean Distance Geometry, by Dattorro, which is available for download online. ...
6.
Convex Optimization - Euclidean Distance Matrix
Euclidean space is a finite-dimensional real vector space having an inner product defined on it, hence a metric as well. A Euclidean distance matrix, ...
7.
Convex Optimization - Convex Cones
The set of convex cones is a narrower but more familiar class of cone, ... Familiar examples of convex cones include an unbounded ice-cream cone united with ...
8.
Convex Optimization - Convex Cones
The set of convex cones is a narrower but more familiar class of cone, ... Familiar examples of convex cones include an unbounded ice-cream cone united with ...
9.
Convex Optimization - Quasiconvex Functions
Quasiconvex functions are useful in practical problem solving because ... Unlike convex functions, quasiconvex functions are not necessarily continuous. ...
10.
Convex Optimization - Sensor Network Localization
Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has geometric interpretation.
