Add to ORKGThe availability of nonlinear programming test problems is extremely important to test optimization codes or to develop new algorithms. We describe the usage of the Fortran subroutines for all 306 test problems of two previous collections of the author, see Hock and Schittkowski [4] and Schittkowski [9]. For each test example, we provide an optimal solution. The execution of the codes, the program organization, and some numerical test results are presented to be able to test and compare own implementations. 1
Solving nonlinear programming problems usually involve difficulties to obtain a starting point that ...
Nonlinear programming problem (NPP) had become an important branch of operations research, and it wa...
This thesis presents a technique for solving nonlinear programming problems characterized by a gener...
This report contains a description of subroutines which can be used for testing large-scale optimiza...
Construction of nonlinear programming tests with known optimum solutions - algorith
This report contains a description of subroutines which can be used for testing large-scale optimiza...
Abstract—A method of constructing test problems with known global solution for a class of nonlinear ...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Nonlinear Programming (NLP) is the broad area of applied mathematics that addresses optimization pro...
Abstract. Many problems in engineering design involve the use of nonlin-earities and some integer va...
A survey of nonlinear programming theory and computational algorithms is given. Subjects covered ar...
The purpose of this article is to discuss the scopeand functionality of a versatile environment for ...
The authors have started the development of COPS, a collection of large-scale nonlinearly Constraine...
The experimental results reported in many papers suggest that making an appropriate a priori choice ...
Solving nonlinear programming problems usually involve difficulties to obtain a starting point that ...
Nonlinear programming problem (NPP) had become an important branch of operations research, and it wa...
This thesis presents a technique for solving nonlinear programming problems characterized by a gener...
This report contains a description of subroutines which can be used for testing large-scale optimiza...
Construction of nonlinear programming tests with known optimum solutions - algorith
This report contains a description of subroutines which can be used for testing large-scale optimiza...
Abstract—A method of constructing test problems with known global solution for a class of nonlinear ...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Nonlinear Programming (NLP) is the broad area of applied mathematics that addresses optimization pro...
Abstract. Many problems in engineering design involve the use of nonlin-earities and some integer va...
A survey of nonlinear programming theory and computational algorithms is given. Subjects covered ar...
The purpose of this article is to discuss the scopeand functionality of a versatile environment for ...
The authors have started the development of COPS, a collection of large-scale nonlinearly Constraine...
The experimental results reported in many papers suggest that making an appropriate a priori choice ...
Solving nonlinear programming problems usually involve difficulties to obtain a starting point that ...
Nonlinear programming problem (NPP) had become an important branch of operations research, and it wa...
This thesis presents a technique for solving nonlinear programming problems characterized by a gener...