mathematically based algorithm
71Mathematical economics — Economics …
72Fixed-income attribution — refers to the process of measuring returns generated by various sources of risk in a fixed income portfolio, particularly when multiple sources of return are active at the same time. For example, the risks affecting the return of a bond portfolio …
73John von Neumann — Von Neumann redirects here. For other uses, see Von Neumann (disambiguation). The native form of this personal name is Neumann János. This article uses the Western name order. John von Neumann …
74Robotics — is the science and technology of robots, and their design, manufacture, and application.cite web |url=http://mw1.merriam webster.com/dictionary/Robotics |title=Definition of robotics Merriam Webster Online Dictionary |accessdate=2007 08 26… …
75Temporal difference learning — is a prediction method. It has been mostly used for solving the reinforcement learning problem. TD learning is a combination of Monte Carlo ideas and dynamic programming (DP) ideas. [2] TD resembles a Monte Carlo method because it learns by… …
76Fixed income attribution — refers to the process of measuring returns generated by various sources of risk in a fixed income portfolio, particularly when multiple sources of return are active at the same time. For example, the risks affecting the return of a bond portfolio …
77History of cryptography — The history of cryptography begins thousands of years ago. Until recent decades, it has been the story of what might be called classic cryptography that is, of methods of encryption that use pen and paper, or perhaps simple mechanical aids. In… …
78Recursion (computer science) — Recursion in computer science is a way of thinking about and solving problems. It is, in fact, one of the central ideas of computer science. [cite book last = Epp first = Susanna title = Discrete Mathematics with Applications year=1995… …
79Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… …
80Time complexity — In computer science, the time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of the size of the input to the problem. The time complexity of an algorithm is commonly expressed using big O… …
