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- этимология
Что (кто) такое optimal scheduling - определение
CLASS OF MATHEMATICAL PROBLEMS CONCERNED WITH CHOOSING AN OPTIMAL TIME TO TAKE A PARTICULAR ACTION
Optimal Stopping; Optimal Stopping problem
Найдено результатов: 209
Optimal job scheduling
Graham notation; Notation for theoretic scheduling problems
Optimal job scheduling is a class of optimization problems related to scheduling. The inputs to such problems are a list of jobs (also called processes or tasks) and a list of machines (also called processors or workers).
Scheduling Open Service Interface Definition
AN OPEN KNOWLEDGE INITIATIVE SPECIFICATION; PROGRAMMATIC INTERFACES WHICH COMPRISE A SERVICE-ORIENTED ARCHITECTURE FOR DESIGNING AND BUILDING REUSABLE AND INTEROPERABLE SOFTWARE
Scheduling OSID
The Scheduling Open Service Interface Definition (OSID) is an Open Knowledge Initiative specification. OSIDs are programmatic interfaces which comprise a service-oriented architecture for designing and building reusable and interoperable software.
Job-shop scheduling
BRANCH OF DISCRETE MATHEMATICS
Job-shop problem; Job shop scheduling; Job Shop Scheduling
Job-shop scheduling, the job-shop problem (JSP) or job-shop scheduling problem (JSSP) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling.
Optimal decision
DECISION THAT LEADS TO THE BEST OUTCOME IN DECISION THEORY
User:Winterfors/Optimal Decision; Optimal Decision
An optimal decision is a decision that leads to at least as good a known or expected outcome as all other available decision options. It is an important concept in decision theory.
Scheduling (production processes)
THE PROCESS OF ARRANGING, CONTROLLING AND OPTIMIZING WORK AND WORKLOADS IN A PRODUCTION PROCESS OR MANUFACTURING PROCESS; IS USED TO ALLOCATE PLANT AND MACHINERY RESOURCES, PLAN HUMAN RESOURCES, PLAN PRODUCTION PROCESSES AND PURCHASE MATERIALS
Advanced Planning Software; Production scheduling; Algorithms for solving production scheduling problems
Scheduling is the process of arranging, controlling and optimizing work and workloads in a production process or manufacturing process. Scheduling is used to allocate plant and machinery resources, plan human resources, plan production processes and purchase materials.
Optimal control
MATHEMATICAL OPTIMIZATION METHOD FOR DERIVING CONTROL POLICIES
Optimal controller; Optimal control (linear systems); Optimal control theory; Mathematical theory of optimal control; Optimal Control; Optimal Control theory; Optimal control Theory; Optimal Control Theory; Control law; Numerical methods for optimal control; Optimum control
Optimal control theory is a branch of mathematical optimization that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. It has numerous applications in science, engineering and operations research.
Optimal tax
STUDY OF DESIGNING AND IMPLEMENTING TAX WHICH IS SUCCESSFUL IN SOCIAL WELFARE.
Optimal taxation; Neutral tax; Neutral taxation; Optimal taxation theory
Optimal tax theory or the theory of optimal taxation is the study of designing and implementing a tax that maximises a social welfare function subject to economic constraints. The social welfare function used is typically a function of individuals' utilities, most commonly some form of utilitarian function, so the tax system is chosen to maximise the aggregate of individual utilities.
Instruction scheduling
Instruction scheduling algorithm; Instruction scheduler; Percolation scheduling; Percolation scheduler; Global scheduling; Global scheduler; Cold scheduling algorithm; Cold scheduling; Cold scheduler; Local scheduling; Local scheduler; Basic block scheduling; Basic block scheduler; Modulo scheduling; Superblock scheduling; Superblock scheduler; Modulo scheduler
In computer science, instruction scheduling is a compiler optimization used to improve instruction-level parallelism, which improves performance on machines with instruction pipelines. Put more simply, it tries to do the following without changing the meaning of the code:
instruction scheduling
Instruction scheduling algorithm; Instruction scheduler; Percolation scheduling; Percolation scheduler; Global scheduling; Global scheduler; Cold scheduling algorithm; Cold scheduling; Cold scheduler; Local scheduling; Local scheduler; Basic block scheduling; Basic block scheduler; Modulo scheduling; Superblock scheduling; Superblock scheduler; Modulo scheduler
The compiler phase that orders instructions on a
pipelined, superscalar, or VLIW architecture so as to
maximise the number of function units operating in parallel
and to minimise the time they spend waiting for each other.
Examples are filling a delay slot; interspersing
floating-point instructions with integer instructions to
keep both units operating; making adjacent instructions
independent, e.g. one which writes a register and another which
reads from it; separating memory writes to avoid filling the
write buffer.
Norman P. Jouppi and David W. Wall, {"Available
Instruction-Level Parallelism for Superscalar and
Superpipelined Processors"
(ftp://gatekeeper.dec.com/archive/pub/DEC/WRL/research-reports/WRL-TR-89.7.ps.Z) },
Proceedings of the Third International Conference on
Architectural Support for Programming Languages and Operating
Systems, pp. 272--282, 1989.
[The SPARC Architecture Manual, v8, ISBN 0-13-825001-4 ]
Lottery scheduling
Lottery Scheduling
Lottery scheduling is a probabilistic scheduling algorithm for processes in an operating system. Processes are each assigned some number of lottery tickets, and the scheduler draws a random ticket to select the next process.
Википедия
Optimal stopping
In mathematics, the theory of optimal stopping or early stopping is concerned with the problem of choosing a time to take a particular action, in order to maximise an expected reward or minimise an expected cost. Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem. Optimal stopping problems can often be written in the form of a Bellman equation, and are therefore often solved using dynamic programming.
