💡 Words with a Similar Meaning to "Odds algorithm"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| algorithmnoun | (countable) A collection of ordered steps that solve a mathematical problem. A precise step-by-step plan for a computational procedure that possibly begins with an input value and yields an output value in a finite number of steps. |
| algorithmic probability | In algorithmic information theory, algorithmic probability, also known as Solomonoff probability, is a mathematical method of assigning a prior probability to a given observation. |
| combinatorial optimization | a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects,. |
| index calculus algorithm | In computational number theory, the index calculus algorithm is a probabilistic algorithm for computing discrete logarithms. |
| computational problem | In theoretical computer science, a computational problem is one that asks for a solution in terms of an algorithm. |
| active-set method | In mathematical optimization, the active-set method is an algorithm used to identify the active constraints in a set of inequality constraints. |
| optimal control | Optimal control theory is a branch of control theory that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. |
| stochastic programming | In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems that involve uncertainty. |
| optimization problemnoun | (mathematics) The problem of finding the "best" solution from all feasible solutions, given constraints defining which of the solutions are feasible, and a goal function defining which of the feasible solutions is the best one. |
| nested sampling algorithm | The nested sampling algorithm is a computational approach to the Bayesian statistics problems of comparing models and generating samples from posterior distributions. |
| design optimization | an engineering design methodology using a mathematical formulation of a design problem to support selection of the optimal design among many alternatives. |
| algorithmic game theory | an area in the intersection of game theory and computer science, with the objective of understanding and design of algorithms in strategic environments. |
| quadratic programming | the process of solving certain mathematical optimization problems involving quadratic functions. |
| discrete optimization | a branch of optimization in applied mathematics and computer science. |
| probability distributionnoun | (statistics) A distribution of all possible values of a random variable together with an indication of their probabilities. |
| algorithmic paradigm | An algorithmic paradigm or algorithm design paradigm is a generic model or framework which underlies the design of a class of algorithms. |
| optimizationnoun | The design and operation of a system or process to make it as good as possible in some defined sense. |
| empirical risk minimization | In statistical learning theory, the principle of empirical risk minimization defines a family of learning algorithms based on evaluating performance over a known and fixed dataset. |
| minimax approximation algorithm | A minimax approximation algorithm (or L∞ approximation or uniform approximation) is a method to find an approximation of a mathematical function that minimizes maximum error. |
| differential dynamic programming | an optimal control algorithm of the trajectory optimization class. |
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