Add to ORKGAbstract: The original mathematical apparatus is created for problems of nonlinear programming, systems of linear and nonlinear inequalities. The basis is an operation with D-gradients that are vectors dual to gradients of functions forming constraints. The advantage is an outstanding gain in computationsNote: Research direction:Mathematical problems and theory of numerical method
We present a new class of algorithms for determining whether there exists a point x ɛ Rn satisfying ...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
The problem of minimizing a function f(x) of an n-vector x, subject to q equality constraints <{>(x)...
AbstractFor minimization problems with nonlinear equality constraints, various numerical tools are s...
Abstract: Theoretical and applied aspects of a qualitatively new approach to operations wi...
The purpose of this article is to introduce a gradient-flow algorithm for solving equality and inequ...
Recently primal-dual interior-point methodology has proven to be an effective tool in linear program...
International audienceThe purpose of this article is to introduce a gradient-flow algorithm for solv...
The purpose of this article is to introduce a gradient-flow algorithm for solving equality and inequ...
International audienceThe purpose of this article is to introduce a gradient-flow algorithm for solv...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
International audienceThe purpose of this article is to introduce a gradient-flow algorithm for solv...
There is description of parameter optimization problem of the form that is suitable for using the br...
Optimization without Calculus Chapter Summary The Arithmetic Mean-Geometric Mean Inequality An Appli...
The application of nonlinear programming methods to the solution of constrained saddle-point problem...
We present a new class of algorithms for determining whether there exists a point x ɛ Rn satisfying ...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
The problem of minimizing a function f(x) of an n-vector x, subject to q equality constraints <{>(x)...
AbstractFor minimization problems with nonlinear equality constraints, various numerical tools are s...
Abstract: Theoretical and applied aspects of a qualitatively new approach to operations wi...
The purpose of this article is to introduce a gradient-flow algorithm for solving equality and inequ...
Recently primal-dual interior-point methodology has proven to be an effective tool in linear program...
International audienceThe purpose of this article is to introduce a gradient-flow algorithm for solv...
The purpose of this article is to introduce a gradient-flow algorithm for solving equality and inequ...
International audienceThe purpose of this article is to introduce a gradient-flow algorithm for solv...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
International audienceThe purpose of this article is to introduce a gradient-flow algorithm for solv...
There is description of parameter optimization problem of the form that is suitable for using the br...
Optimization without Calculus Chapter Summary The Arithmetic Mean-Geometric Mean Inequality An Appli...
The application of nonlinear programming methods to the solution of constrained saddle-point problem...
We present a new class of algorithms for determining whether there exists a point x ɛ Rn satisfying ...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
The problem of minimizing a function f(x) of an n-vector x, subject to q equality constraints <{>(x)...