The artide describes a robust and effective implementation of the interior point optimization algorithm. The adopted method includes a precalculation step, which reduces the number of variables by fulfilling the equilibrium equations a priori. This work presents an improved implementation of the precalculation step, which utilizes the principals of the well-known frontal method. The succeeding optimization algorithm is also significantly optimized, by applying a parallel implementation, which eliminates the exponential growth in computational time relative to the element numbers
Due to the structure of the solution set, an exact solution to a linear program cannot be computed b...
none3siPartial differential equation (PDE)–constrained optimization problems with control or state c...
A method of conducting lower bound Limit State analysis is to apply the interior-point method. The a...
A robust and effective finite element based implementation of lower bound limit state analysis apply...
Abstract. Solution methods for very large scale optimization problems are addressed in this paper. I...
Limit State analysis has been used in engineering practice for many years e.g. the yield-line method...
The first comprehensive review of the theory and practice of one of today's most powerful optimizati...
The goal of this thesis is to investigate the application of interior point methods to solve dynamic...
1 Introduction Since their discovery [1] interior point methods (IPMs) have enjoyed well-deser-ved i...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
Optimization problems with many more inequality constraints than variables arise in support-vector m...
The use of optimization in a simulation based design environment has become a common trend in indust...
This article describes the current state of the art of interior-point methods (IPMs)for convex, coni...
In the present work we study Interior Point Algorithm used for solving linear problem
We present an improved version of an infeasible interior-point method for linear optimization publis...
Due to the structure of the solution set, an exact solution to a linear program cannot be computed b...
none3siPartial differential equation (PDE)–constrained optimization problems with control or state c...
A method of conducting lower bound Limit State analysis is to apply the interior-point method. The a...
A robust and effective finite element based implementation of lower bound limit state analysis apply...
Abstract. Solution methods for very large scale optimization problems are addressed in this paper. I...
Limit State analysis has been used in engineering practice for many years e.g. the yield-line method...
The first comprehensive review of the theory and practice of one of today's most powerful optimizati...
The goal of this thesis is to investigate the application of interior point methods to solve dynamic...
1 Introduction Since their discovery [1] interior point methods (IPMs) have enjoyed well-deser-ved i...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
Optimization problems with many more inequality constraints than variables arise in support-vector m...
The use of optimization in a simulation based design environment has become a common trend in indust...
This article describes the current state of the art of interior-point methods (IPMs)for convex, coni...
In the present work we study Interior Point Algorithm used for solving linear problem
We present an improved version of an infeasible interior-point method for linear optimization publis...
Due to the structure of the solution set, an exact solution to a linear program cannot be computed b...
none3siPartial differential equation (PDE)–constrained optimization problems with control or state c...
A method of conducting lower bound Limit State analysis is to apply the interior-point method. The a...