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2. Pareto principle - Wikipedia

   en.wikipedia.org/wiki/Pareto_principle

   The Pareto principle may apply to fundraising, i.e. 20% of the donors contributing towards 80% of the total. The Pareto principle (also known as the 80/20 rule, the law of the vital few and the principle of factor sparsity [1] [2]) states that for many outcomes, roughly 80% of consequences come from 20% of causes (the "vital few"). [1]

3. Multi-objective optimization - Wikipedia

   en.wikipedia.org/wiki/Multi-objective_optimization

   Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.

4. Proximal policy optimization - Wikipedia

   en.wikipedia.org/wiki/Proximal_Policy_Optimization

   t. e. Proximal policy optimization (PPO) is an algorithm in the field of reinforcement learning that trains a computer agent's decision function to accomplish difficult tasks. PPO was developed by John Schulman in 2017, [1] and had become the default reinforcement learning algorithm at American artificial intelligence company OpenAI. [2]

5. Pareto front - Wikipedia

   en.wikipedia.org/wiki/Pareto_front

   In multi-objective optimization, the Pareto front (also called Pareto frontier or Pareto curve) is the set of all Pareto efficient solutions. [1] The concept is widely used in engineering. [2] : 111–148 It allows the designer to restrict attention to the set of efficient choices, and to make tradeoffs within this set, rather than considering ...

6. Python (programming language) - Wikipedia

   en.wikipedia.org/wiki/Python_(programming_language)

   Python has array index and array slicing expressions in lists, denoted as a[key], a [start: stop] or a [start: stop: step]. Indexes are zero-based, and negative indexes are relative to the end. Slices take elements from the start index up to, but not including, the stop index.

7. Scale-free network - Wikipedia

   en.wikipedia.org/wiki/Scale-free_network

   A scale-free network is a network whose degree distribution follows a power law, at least asymptotically. That is, the fraction P ( k) of nodes in the network having k connections to other nodes goes for large values of k as. where is a parameter whose value is typically in the range (wherein the second moment ( scale parameter) of is infinite ...