Results 51 to 60 of about 5,958,127 (312)
Optimization of Asset and Liability Management of Banks with Minimum Possible Changes
Mathematics, 2023 Asset-Liability Management (ALM) of banks is defined as simultaneous planning of all bank assets and liabilities under different conditions and its purpose is to maximize profits and minimize the risks in banks by optimizing the parameters in the balance
Pejman Peykani +4 more
doaj +1 more source
Inverse Optimization: Theory and Applications [PDF]
arXiv, 2021 Inverse optimization describes a process that is the "reverse" of traditional mathematical optimization. Unlike traditional optimization, which seeks to compute optimal decisions given an objective and constraints, inverse optimization takes decisions as input and determines an objective and/or constraints that render these decisions approximately or ...
arxiv
Calculus of variations with fractional derivatives and fractional integrals [PDF]
Applied Mathematics Letters 22 (2009) 1816--1820, 2009 We prove Euler-Lagrange fractional equations and sufficient optimality conditions for problems of the calculus of variations with functionals containing both fractional derivatives and fractional integrals in the sense of Riemann-Liouville.
arxiv +1 more source
Cardinal Optimizer (COPT) User Guide [PDF]
arXiv, 2022 Cardinal Optimizer is a high-performance mathematical programming solver for efficiently solving largescale optimization problem. This documentation provides basic introduction to the Cardinal Optimizer.
arxiv
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming [PDF]
Comput. Chem. Eng., Volume 125, 9 June 2019, Pages 434-448, 2019 This paper reviews recent advances in the field of optimization under uncertainty via a modern data lens, highlights key research challenges and promise of data-driven optimization that organically integrates machine learning and mathematical programming for decision-making under uncertainty, and identifies potential research opportunities.
arxiv +1 more source
Synergistic Integration of Machine Learning and Mathematical Optimization for Unit Commitment
IEEE Transactions on Power SystemsUnit Commitment (UC) is important for power system operations. With increasing challenges, e.g., growing intermittent renewables and intra-hour net load variability, traditional mathematical optimization could be time-consuming.
Jianghua Wu +4 more
semanticscholar +1 more source
Mathematical Modelling and Optimal Control of Anthracnose [PDF]
BIOMATH, 2014 In this paper we propose two nonlinear models for the control of anthracnose disease. The first one is an ordinary differential equation (ODE) model which represents the whithin host evolution of the disease. The second model includes spatial diffusion of the disease in a bounded domain О©. We show well formulation of those models checking existence of
Chris Thron +4 more
openaire +5 more sources
Optimum contribution for mate selection in Santa Inês sheep
Revista Brasileira de Zootecnia, 2021 The objective of this research was to simulate the genetic gains expected comparing random mating strategies and mate selection by optimum contribution with different penalty levels in the inbreeding rate of Santa Inês sheep.
José Lindenberg Rocha Sarmento +4 more
doaj +1 more source
Advances in Nutrition, 2019 Climate protection and other environmental concerns render it critical that diets and agriculture systems become more sustainable. Mathematical optimization techniques can assist in identifying dietary patterns that both improve nutrition and reduce ...
N. Wilson +4 more
semanticscholar +1 more source
An Introduction to Optimization on Smooth Manifolds
, 2023 Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems ...
Nicolas Boumal
semanticscholar +1 more source