Results 51 to 60 of about 15,804,550 (305)

A set oriented approach to global optimal control [PDF]

open access: yes, 2002
We describe an algorithm for computing the value function for 'all source, single destination' discrete-time nonlinear optimal control problems together with approximations of associated globally optimal control strategies.
Oliver Junge   +3 more
core   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

open access: yesFEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

OPTIMAL CONTROL ON RELIABILITY PROBLEMS

open access: yesFar East Journal of Dynamical Systems, 2017
Our basic problem is that of an optimal control whose Bolza payoff is the sum between a simple integral and a function of the initial and final events whose evolution ODE is a reliability flow. The original results include: (i) a list of payoffs with reliability sense, (ii) optimal value of mean time to failure functional constrained by controlled ...
Udrişte, Constantin   +2 more
openaire   +1 more source

Adaptive optimal control of Signorini’s problem [PDF]

open access: yesComputational Optimization and Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreas Rademacher, Korinna Rosin
openaire   +3 more sources

Optimal control of Newton-type problems of minimal resistance [PDF]

open access: yes, 2006
We address Newton-type problems of minimal resistance from an optimal control perspective. It is proven that for Newton-type problems the Pontryagin maximum principle is a necessary and sufficient condition.
Plakhov, A.Yu., Torres, D.F.M.
core   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

Quadratures of Pontryagin extremals for optimal control problems [PDF]

open access: yes, 2006
We obtain a method to compute effective first integrals by combining Noether's principle with the Kozlov-Kolesnikov integrability theorem. A sufficient condition for the integrability by quadratures of optimal control problems with controls taking values
Rocha, E. A.   +3 more
core   +2 more sources

Optimal Control Problems for Erlang Loss Systems

open access: yesAxioms
An Erlang loss system, which is an M/G/s/s queue, is a model used in various applications. In this paper, a controlled version of the process is defined.
Mario Lefebvre
doaj   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

GPU-Accelerated Pseudospectral Methods for Optimal Control Problems

open access: yesMathematics
Pseudospectral methods are effective tools for solving optimal control problems, but they result in large-scale nonlinear programming (NLP) problems that are computationally demanding.
Yilin Zou, Fanghua Jiang
doaj   +1 more source

Home - About - Disclaimer - Privacy