Results 41 to 50 of about 10,510,472 (349)
In this article the general linear programming problem is outlined. Steps in the formulation of the linear programming problem are discussed as well as the limiting assumptions of the linear programming approach. This is followed by a short discussion of
A. P.L. Kotze
doaj +1 more source
Linear Programming in the Semi-streaming Model with Application to the Maximum Matching Problem [PDF]
In this paper, we study linear programming based approaches to the maximum matching problem in the semi-streaming model. The semi-streaming model has gained attention as a model for processing massive graphs as the importance of such graphs has increased.
A. McGregor+13 more
core +4 more sources
Optimal Information Disclosure: A Linear Programming Approach
An uninformed sender designs a mechanism that discloses information about her type to a privately informed receiver, who then decides whether to act. I impose a single-crossing assumption, so that the receiver with a higher type is more willing to act ...
A. Kolotilin
semanticscholar +1 more source
Fuzziness in linear programming with application [PDF]
With regard to the difficulty and the big role that is made to reach the optimal solution of the institutions and factories system processing through the perfect or alternative decision making among the abundant decisions or alternative groups, and ...
doaj +1 more source
Robust Distributed Linear Programming [PDF]
This paper presents a robust, distributed algorithm to solve general linear programs. The algorithm design builds on the characterization of the solutions of the linear program as saddle points of a modified Lagrangian function.
D. Richert, J. Cortés
semanticscholar +1 more source
occumb: An R package for site occupancy modeling of eDNA metabarcoding data
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley +1 more source
The Bayes Linear Programming Language [B/D]
Bayes linear methodology provides a quantitative structure for expressing our beliefs and systematic methods for revising these beliefs given observational data.
David Wooff, Michael Goldstein
doaj +3 more sources
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac+3 more
wiley +1 more source
The future of feed formulation for poultry: Toward more sustainable production of meat and eggs
Current methods for feed formulation are based on minimizing costs, not maximizing profits. Complex models of bird growth and reproduction as functions of genetic, feed and other environmental variables are being developed, but their adaptation has been ...
Gene M. Pesti, Mingan Choct
doaj
Reformulations of mathematical programming problems as linear complementarity problems [PDF]
A family of complementarity problems are defined as extensions of the well known Linear Complementarity Problem (LCP). These are (i.) Second Linear Complementarity Problem (SLCP) which is an LCP extended by introducing further equality restrictions and ...
Judice, JJ, Mitra, G
core