💡 Words with a Similar Meaning to "Simplex algorithm"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| revised simplex method | In mathematical optimization, the revised simplex method is a variant of George Dantzig's simplex method for linear programming. |
| big m method | In operations research, the Big M method is a method of solving linear programming problems using the simplex algorithm. |
| criss-cross algorithm | In mathematical optimization, the criss-cross algorithm is any of a family of algorithms for linear programming. |
| biconjugate gradient method | In mathematics, more specifically in numerical linear algebra, the biconjugate gradient method is an algorithm to solve systems of linear equations |
| strassen algorithmnoun | (computing theory) An algorithm for matrix multiplication. |
| linear-fractional programming | In mathematical optimization, linear-fractional programming is a generalization of linear programming. |
| 2-opt | In optimization, 2-opt is a simple local search algorithm for solving the traveling salesman problem. |
| ellipsoid method | In mathematical optimization, the ellipsoid method is an iterative method for minimizing convex functions over convex sets. |
| quadratic programming | the process of solving certain mathematical optimization problems involving quadratic functions. |
| kaczmarz method | The Kaczmarz method or Kaczmarz's algorithm is an iterative algorithm for solving linear equation systems . |
| index calculus algorithm | In computational number theory, the index calculus algorithm is a probabilistic algorithm for computing discrete logarithms. |
| conjugate gradient method | In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose matrix is positive-semidefinite. |
| sequential quadratic programming | an iterative method for constrained nonlinear optimization which may be considered a quasi-Newton method. |
| 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. |
| 3-opt | In optimization, 3-opt is a simple local search heuristic for finding approximate solutions to the travelling salesperson problem and related network optimization problems. |
| clenshaw algorithm | In numerical analysis, the Clenshaw algorithm, also called Clenshaw summation, is a recursive method to evaluate a linear combination of Chebyshev polynomials. |
| gradient descentnoun | (mathematics) A first-order iterative optimization algorithm for finding a local minimum of a differentiable function. |
| linear programmingnoun | (mathematics) The branch of mathematics concerned with the minimization or maximization of a linear function of several variables and inequalities; used in many branches of industry to minimize costs or maximize production. |
| sum-of-squares optimization | A sum-of-squares optimization program is an optimization problem with a linear cost function and a particular type of constraint on the decision variables. |
| gauss-seidel methodnoun | (mathematics) An iterative method used to solve a linear system of equations. |
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