Add to ORKGIsotone optimization is formulated as a convex programming problem with simple linear constraints. A R implementation of a particular active set strategy is discussed, and applied to various isotone optimization problems important in statistics. The implementation is user-extendable, and handles a great many convex loss functions and partial orders
Cover title.Includes bibliographical references (p. 22).by Ravindra K. Ahuja, James B. Orlin
AbstractThe paper suggests a new implementation of the active set method for solving linear programm...
This paper describes an active-set algorithm for large-scale nonlinear programming based on the succ...
Isotone optimization is formulated as a convex programming problem with simple linear constraints. A...
In this paper we give a general framework for isotone optimization. First we discuss a generalized v...
Monotonicity is often a fundamental assumption involved in the modeling of a number of real-world ap...
ing case antitonic regression. The corresponding umbrella term for both cases is monotonic regressio...
summary:We employ the active set strategy which was proposed by Facchinei for solving large scale bo...
The convex ordered setproblem is to minimize j=1 C(xj) subject to < x1 2 < 3 <... < xn &...
In this paper, we describe a new active-set algorithmic framework for minimizing a non-convex functi...
International audienceWe consider the minimization of submodular functions subject to ordering const...
Description Contains two main functions: one for solving general isotone regression problems using t...
We present an active-set method for minimizing an objective that is the sum of a convex quadratic an...
Monotonic (isotonic) regression is a powerful tool used for solving a wide range of important applie...
An algorithm for solving linearly constrained optimization problems is proposed. The search directio...
Cover title.Includes bibliographical references (p. 22).by Ravindra K. Ahuja, James B. Orlin
AbstractThe paper suggests a new implementation of the active set method for solving linear programm...
This paper describes an active-set algorithm for large-scale nonlinear programming based on the succ...
Isotone optimization is formulated as a convex programming problem with simple linear constraints. A...
In this paper we give a general framework for isotone optimization. First we discuss a generalized v...
Monotonicity is often a fundamental assumption involved in the modeling of a number of real-world ap...
ing case antitonic regression. The corresponding umbrella term for both cases is monotonic regressio...
summary:We employ the active set strategy which was proposed by Facchinei for solving large scale bo...
The convex ordered setproblem is to minimize j=1 C(xj) subject to < x1 2 < 3 <... < xn &...
In this paper, we describe a new active-set algorithmic framework for minimizing a non-convex functi...
International audienceWe consider the minimization of submodular functions subject to ordering const...
Description Contains two main functions: one for solving general isotone regression problems using t...
We present an active-set method for minimizing an objective that is the sum of a convex quadratic an...
Monotonic (isotonic) regression is a powerful tool used for solving a wide range of important applie...
An algorithm for solving linearly constrained optimization problems is proposed. The search directio...
Cover title.Includes bibliographical references (p. 22).by Ravindra K. Ahuja, James B. Orlin
AbstractThe paper suggests a new implementation of the active set method for solving linear programm...
This paper describes an active-set algorithm for large-scale nonlinear programming based on the succ...