نتایج جستجو برای: range planning

تعداد نتایج: 855420  

2017
S M Holloway M D Holloway S J Thomas

In treatment planning we depend upon accurate knowledge of geometric and range uncertainties. If the uncertainty model is inaccurate then the plan will produce under-dosing of the target and/or overdosing of OAR. We aim to provide a method for which centre and site-specific population range uncertainty due to inter-fraction motion can be quantified to improve the uncertainty model in proton tre...

1998
James S. Risbey

A case study of the Sacramento Basin is undertaken to examine problems of planning for the impacts of climate change on water resources utilizing output from general circulation climate models. This work provides a sensitivity analysis linking climate, stream ̄ow, and planning decisions. Water resource planners want reliable time series of stream ̄ow in the basin. Sacramento basin hydrological mo...

2011
Marco Amati

The last 15 years have seen a rapid growth in the popularity of e-planning in Australia and internationally. In this paper I wish e-planning to be understood as a range of planning activities that are taking place online. Eplanning can refer variously to the systems used to submit and track development applications online, online planning certification tools, blogs and discussion forums hosted ...

1994
L. JEREB T. JAKAB A. SIPOS G. PAKSY

The long, medium and short term planning of Hungarian backbone and Budapest trunk networks in Hungarian Telecom are based on the software package PLANET, which covers a wide range of the transmission planning activities. The paper describes the PDH and SDH network planning tools, the planning processes and the resulted networks. Main present features of Hungarian backbone and Budapest trunk net...

1994
Lee Spector

Genetic programming (GP) is an automatic programming technique that has recently been applied to a wide range of problems including blocks-world planning. This paper describes a series of illustrative experiments in which GP techniques are applied to traditional blocks-world planning problems. We discuss genetic planning in the context of traditional AI planning systems, and comment on the cost...

Journal: :journal of algebraic systems 2015
m. a. mehrjoofard h. r. afshin s. bagheri

the rank-k numerical range has a close connection to the construction of quantum error correction code for a noisy quantum channel. for noisy quantum channel, a quantum error correcting code of dimension k exists if and only if the associated joint rank-k numerical range is non-empty. in this paper the notion of joint rank-k numerical range is generalized and some statements of [2011, generaliz...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تفرش - دانشکده صنعت هواپیمایی کشوری 1390

در عصر حاضر که رقابت بین سازمان ها بسیار گسترش یافته است، مطالعه و طرحریزی سیستم های تولیدی و خدماتی به منظور بهینه سازی عملکرد آنها اجتناب ناپذیر می باشد. بخش عمده ای از رقابت پذیری سازمان ها نتیجه رضایتمندی مشتریان آنها است. میزان موفقیت سازمان های امروزی به تلاش آنها در جهت شناسایی خواسته ها و نیازهای مشتریان و ارضای این نیازها بستگی دارد. از طرفی کوتاه کردن زمان ارائه محصول/خدمات به مشتریان...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید باهنر کرمان - دانشکده ریاضی و کامپیوتر 1390

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.

1999
Lee Spector

Genetic programming (GP) is an automatic programming technique that has recently been applied to a wide range of problems including blocks-world planning. This paper describes a series of illustrative experiments in which GP techniques are applied to traditional blocks-world planning problems. We discuss genetic planning in the context of traditional AI planning systems, and comment on the cost...

1996
Henry A. Kautz Bart Selman

Planning is a notoriously hard combinatorial search problem. In many interesting domains, current planning algorithms fail to scale up gracefully. By combining a general, stochastic search algorithm and appropriate problem encodings based on propositional logic, we are able to solve hard planning problems many times faster than the best current planning systems. Although stochastic methods have...

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