Websites using network constraint as a keyword

Socilab is a free tool that allows users to visualize and analyze their LinkedIn network. It works with the LinkedIn API to a) calculate structural hole metrics such as network density, hierarchy and constraint - and displays your percentile compared to other users of the tool, and b) display a dynamic/interactive visualization of your ego network with node coloring by industry and an option to enable/disable connections to self using D3.js. Users might find it useful for class tutorials. Former users of the now deprecated LinkedIn inMaps may find this to be a useful alternative.

Founded in 2006, Educators for Fair Consideration (E4FC) empowers undocumented young people to achieve educational and career goals through personal, institutional and policy transformation. We envision an America where all young people can pursue and complete an education with confidence and without constraint.

Oracle PL/SQL examples, syntax, DBMS packages, string, timestamp, substring, PHP code, and Javascript Code Reference Library (formerly known as Morgan's Library)

Macroeconomics, Robotics & Manufacturing National Manufacturing Network – A Post Industrial Economic Doctrine for a Robotic Age COMING SOON Driving a Meta Matter Compiler - Towards Compiling Physical Artefacts COMING SOON Quantum Lisp - Manufacturing Constraint Optimisation using Quantum Physics COMING SOON Methods and Systems for a Robotic Capability Model [PASSWORD] Methods and Systems for an Autonomous Supply Chain [PASSWORD]…

Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has geometric interpretation. If a given optimization problem can be transformed to a convex equivalent, then this interpretive benefit is acquired. That is a powerful attraction: the ability to visualize geometry of an optimization problem. Conversely, recent advances in geometry hold convex optimization within their proofs' core. This book is about convex optimization, convex geometry (with particular attention to distance geometry), geometrical problems, and problems that can be transformed into geometrical problems. Euclidean distance geometry is, fundamentally, a determination of point conformation from interpoint distance information; e.g., given only distance information, determine whether there corresponds a realizable configuration of points; a list of points in some dimension that attains the given interpoint distances., Expert information on convex optimization expert calculus of inequalities