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eigen-space

  • Input The input contains blocks of 2 lines. The first line contains the number of sticks parts afte

    Input The input contains blocks of 2 lines. The first line contains the number of sticks parts after cutting, there are at most 64 sticks. The second line contains the lengths of those parts separated by the space. The last line of the file contains zero. Output The output should contains the smallest possible length of original sticks, one per line. Sample Input 9 5 2 1 5 2 1 5 2 1 4 1 2 3 4 0 Sample Output 6 5

    標(biāo)簽: contains The blocks number

    上傳時(shí)間: 2015-10-27

    上傳用戶:lepoke

  • The Rayleigh Integral Method is useful in computing the acoustic properties of a flat panel radiatin

    The Rayleigh Integral Method is useful in computing the acoustic properties of a flat panel radiating into a half space.

    標(biāo)簽: properties computing Rayleigh Integral

    上傳時(shí)間: 2015-12-07

    上傳用戶:youmo81

  • celestia源代碼

    celestia源代碼,Celestia, a real-time 3D space simulation featuring a database of over 100000 stars, nearly a hundred solar system, objects, and a complete catalog of extrasolar planets.

    標(biāo)簽: celestia 源代碼

    上傳時(shí)間: 2013-12-26

    上傳用戶:縹緲

  • In this article, we present an overview of methods for sequential simulation from posterior distribu

    In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin particular how to incorporate local linearisation methods similar to those which have previously been employed in the deterministic filtering literature these lead to very effective importance distributions. Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of the analytic structure present in some important classes of state-space models. In a final section we develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.

    標(biāo)簽: sequential simulation posterior overview

    上傳時(shí)間: 2015-12-31

    上傳用戶:225588

  • To estimate the input-output mapping with inputs x % and outputs y generated by the following nonli

    To estimate the input-output mapping with inputs x % and outputs y generated by the following nonlinear, % nonstationary state space model: % x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] % + 8cos(1.2t) + process noise % y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 % + time varying measurement noise % using a multi-layer perceptron (MLP) and both the EKF and % the hybrid importance-samping resampling (SIR) algorithm.

    標(biāo)簽: input-output the generated following

    上傳時(shí)間: 2014-01-05

    上傳用戶:royzhangsz

  • We have a group of N items (represented by integers from 1 to N), and we know that there is some tot

    We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.

    標(biāo)簽: represented integers group items

    上傳時(shí)間: 2016-01-17

    上傳用戶:jeffery

  • 對(duì)應(yīng)論文寫的時(shí)空碼的仿真程序。為2天線

    對(duì)應(yīng)論文寫的時(shí)空碼的仿真程序。為2天線,BPSK調(diào)制模式。自己寫的Space time code simulation提供給大家

    標(biāo)簽: 論文 仿真程序 天線

    上傳時(shí)間: 2014-01-27

    上傳用戶:Shaikh

  • μC/OS-II Goals Probably the most important goal of μC/OS-II was to make it backward compatible with

    μC/OS-II Goals Probably the most important goal of μC/OS-II was to make it backward compatible with μC/OS (at least from an application’s standpoint). A μC/OS port might need to be modified to work with μC/OS-II but at least, the application code should require only minor changes (if any). Also, because μC/OS-II is based on the same core as μC/OS, it is just as reliable. I added conditional compilation to allow you to further reduce the amount of RAM (i.e. data space) needed by μC/OS-II. This is especially useful when you have resource limited products. I also added the feature described in the previous section and cleaned up the code. Where the book is concerned, I wanted to clarify some of the concepts described in the first edition and provide additional explanations about how μC/OS-II works. I had numerous requests about doing a chapter on how to port μC/OS and thus, such a chapter has been included in this book for μC/OS-II.

    標(biāo)簽: OS-II compatible important Probably

    上傳時(shí)間: 2013-12-02

    上傳用戶:jkhjkh1982

  • State_space_reconstruction_parameters_in_the_analysis_of_chaotic_time_series_-_the_role_of_the_time_

    State_space_reconstruction_parameters_in_the_analysis_of_chaotic_time_series_-_the_role_of_the_time_window_length. It is used for reconstruction of state space in chaotic time series, and also how to determine time window.

    標(biāo)簽: State_space_reconstruction_parame ters_in_the_analysis_of_chaotic_t the_role_of_

    上傳時(shí)間: 2013-12-21

    上傳用戶:fandeshun

  • Nonlinear_dynamics_delay_times_and_embedding_windows. How to determine embedded window for chaotic

    Nonlinear_dynamics_delay_times_and_embedding_windows. How to determine embedded window for chaotic state space of time series

    標(biāo)簽: Nonlinear_dynamics_delay_times_an d_embedding_windows determine embedded

    上傳時(shí)間: 2016-02-21

    上傳用戶:tianyi223

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